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Opioids in chronic osteoarthritis pain - A systematic review and meta-analysis of efficacy and harms of randomized placebo-controlled studies of at least four weeks duration
R. Schaefert 1, P. Welsch 2, P. Klose 3, C. Sommer 4, F. Petzke 5, W. Häuser 6,7
1 Klinik für Allgemeine Innere Medizin und Psychosomatik, Universitätsklinikum
Heidelberg, Heidelberg, Germany
2 Stichting Rugzorg Nederland, Ede, The Netherlands
3 Abteilung für Natuheilkunde und Integrative Medizin, Kliniken Essen-Mitte, Essen,
Germany
4 Neurologische Klinik, Universitätsklinikum Würzburg, Germany
5 Schmerz-Tagesklinik und Ambulanz, Universitätsmedizin Göttingen, Göttingen,
Germany
6 Klinik und Poliklinik für Psychosomatische Medizin und Psychotherapie,
Technische Universität München, Germany
7 Innere Medizin I, Klinikum Saarbrücken gGmbH, Germany
Korrespondenzadresse:
PD Dr.med. Winfried Häuser
Innere Medizin 1
Klinikum Saarbrücken gGmbH
Winterberg 1
D - 66119 Saarbrücken
Germany
Tel: +49 681 9632020
Fax: +49 681 9632022
Email: [email protected]
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Background: The efficacy, tolerability and safety of opioid therapy in chronic
osteoarthritis (OA) pain are under debate. We updated Cochrane systematic reviews
on the efficacy and safety of opioids in chronic OA pain published in 2008.
Methods: We screened Medline, Scopus, and the Cochrane Library (through October
2013), as well as reference sections of original studies and systematic reviews of
randomized controlled trials (RCTs) of opioids in chronic non-cancer pain. We
included double-blind randomized placebo-controlled studies 4 weeks. Relative risk
differences (RD) of categorical data and standardized mean differences (SMD) of
continuous variables were calculated using a random effects model.
Results: We included 20 RCTs with 33 treatment arms, with 8545 participants and a
median study duration of 12 (4 - 24) weeks. Six studies each tested oxycodone,
respectively tramadol, two studies each buprenorphine, hydromorphone, morphine,
respectively tapentadol, and one study each codeine, fentanyl, and oxymorphone.
Results are reported with [95% confidence intervals] Opioids were superior to
placebo in reducing pain intensity (SMD -0.22 [-0.28, -0.17]; p < 0.00001; 16 studies
with 6743 participants). Opioids were not superior to placebo in 50% pain reduction
(RD -0.01 [-0.07, 0.06], p = 0.82; two studies with 2709 participants). Opioids were
superior to placebo in reports of much or very much global improvement (RD 0.13
[0.05, 0.21]; p = 0.002; three studies with 2251 participants). Opioids were superior to
placebo in improving physical functioning (SMD -0.22 [-0.28, -0.17]; p < 0.00001; 14
studies with 5887 participants). Patients dropped out more frequently with opioids
than with placebo (RD 0.17 [0.14, 0.21], p < 0.00001; 15 studies with 6834
participants; number needed to harm 5 (4 - 6). There was no significant difference
between opioids and placebo in the frequency of serious adverse events (SAE) and
of deaths over the respective observation periods.
Conclusions: In short-term studies (4 - 12 weeks), opioids were superior in terms of
efficacy and inferior in terms of tolerability to placebo. The effect sizes of average
reduction of pain intensity and physical disability were small. Opioids and placebo did
not differ in terms of safety. The conclusion on the safety of opioids compared to
placebo is limited by the low number of serious adverse events and deaths. Short-
term opioid therapy in patients with chronic OA pain may be considered in selected
patients. No current evidence-based guideline recommends opioids as first-line
treatment option for chronic OA pain. To provide superior evidence for future
treatment guidelines, RCTs must directly compare existing pharmacological and non-
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pharmacological therapies with each other, as well as administer them in various
combinations and sequences.
The English full-text version of this article is available at SpringerLink (under
“Supplemental”). This article is published with free access at Springerlink.com
Key words: Osteorthritis; chronic pain; systematic review; meta-analysis; efficacy;
tolerability; safety
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Introduction
Osteoarthritis (OA) is the most common disease of joints in adults around the world
(10,24). In epidemiologic studies, OA is typically defined by radiographic findings and
consideration of symptoms (31). About one-third of all adults have radiological signs
of osteoarthritis (10). However, clinically significant osteoarthritis of the knee, hand,
or hip in terms of chronic pain and/ or disability was found in only 8.9% of the adult
population (2). The incidence and prevalence of OA are rising, likely related to the
aging of the population and increasing obesity (24). Non-pharmacological as well as
pharmacological modalities were recommended for OA by a recent guideline of the
American College of Rheumatology (ACR) (16). Opioid analgesics were strongly
recommended by the ACR in patients who were either not willing to undergo or had
contraindications for total joint arthroplasty after having failed medical therapy.
However, a Cochrane review on opioids in hip or knee OA pain published in 2009
concluded that the small to moderate beneficial effects of non-tramadol opioids were
outweighted by large increases in the risk of adverse events. Non-tramadol opioids
should therefore not be routinely used, even if osteoarthritic pain is severe (26).
The debate on the use of opioids in OA also depends on the duration of opioid use.
Short-term (< 4 weeks) opioid therapy might be appropriate in case of acute (on)
chronic OA pain from a clinical point of view. However, if long-term opioid therapy in
chronic OA pain is clinically useful, is under debate. Chronic opioid therapy has been
defined by daily or near-daily use of opioids for at least 90 days, but in practice often
used indefinitely (27). A systematic review on opioid therapy in chronic low back pain
distinguished between short-term (4 - 12 weeks), intermediate term (13 - 26 weeks)
and long-term (> 26 weeks) trials (4).
To our knowledge, the last systematic review of opioids in chronic OA pain searched
the literature until July 2008 and included short-term studies (< 4 weeks) into the
analyses of efficacy and harms. Studies with opioid agonists with additional mode of
action (e.g. tramadol, tapentadol) were excluded (24). In the meanwhile, new
randomized controlled trials (RCTs) with opioids in chronic OA pain have been
published.
Therefore, we updated the search of literature of systematic reviews on opioids in OA
pain for the update of the German 2008 guideline on the long-term administration of
opioids in chronic non-cancer pain (CNCP) (LONTS) (7). The objectives of this
5
review were to determine the efficacy, tolerability and safety of opioids compared to
placebo in adult patients with chronic OA pain in placebo-controlled RCTs 4 weeks.
Methods
The review was performed according to the PRISMA (Preferred Reporting Items for
Systematic Reviews and Meta-Analyses) statement (21) and the recommendations of
the Cochrane Collaboration (15).
Criteria for considering studies for this review
Types of studies
We included fully published double blind RCTs that compared any opioid to placebo
(pure or pseudo) for therapeutic purposes in OA pain. We included studies with a
parallel design and an enriched enrolment randomized withdrawal (EERW) design.
Studies with a cross-over design were included if a.) separated data of the two
periods were reported or b.) data were presented which excluded statistically
significant carry-over effect or c.) statistical adjustments were carried out in case of a
significant carry-over effect.
Study duration should be at least 4 weeks (tapering and maintenance phase for
parallel and cross-over design; double blind withdrawal phase for EERW design).
Studies should include at least 10 patients per treatment arm.
We grouped outcome measures according to the duration of postrandomization
follow-up, as proposed by Chaparro et al. (4): short-term (4 - 12 weeks), intermediate
(12 - 26 weeks) and long-term (> 26 weeks).
We had no restriction on the language of the publication.
We excluded studies which conducted a tapering phase after open-label run-in and a
consecutive double-blind parallel design with responders of the open-label run-in
period. We excluded studies with a duration of the tapering/ maintenance or
withdrawal period of less than 4 weeks, with an experimental design (i.e. if the
primary purpose was to study pain mechanisms and not pain relief) and studies
which were only published as abstracts. Furthermore, we excluded studies in which
different dosages of one opioid were compared without a placebo control group.
Types of participants
We included men and women of all ages and races or ethnicities diagnosed with
clinically or radiologically confirmed peripheral joint OA and associated pain of at
least three months duration. Trials exclusively including patients with inflammatory
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arthritis, such as rheumatoid arthritis were not included. We excluded studies with
mixed study samples (participants with OA and low back pain) were if data of the two
groups were not presented separately.
Types of interventions
We included trials that examined the use of any opioid prescribed in an outpatient
setting, for a period of at least 4 weeks (titration and maintenance). We considered
trials with opioids given by oral or transdermal routes.
We included studies in which opioids were combined with abuse deterrent
formulations (ADFs) (e.g. naloxone).
We included studies with tramadol, a centrally acting, synthetic opioid analgesic with
two complementary mechanisms of action: binding of parent and M1 metabolite to μ -
opioid receptors and weak inhibition of reuptake of norepinephrine and serotonin. We
included studies with tapentadol with two mechanisms of action: μ-receptor agonist
and norepinephrine reuptake inhibitor. We included both drugs into this review
because they are classified as opioids by German medicine agencies.
We considered trialswhich compared opioid with placebo:
We excluded trials that examined opioids given by intravenous route, including
implantable pumps, due to the invasive nature of the therapy and its limited clinical
relevance in the outpatient setting. In addition, the effectiveness of opioids used in
neuraxial implantable pumps has been discussed elsewhere (25). We excluded
studies in which the primary aim of the study was to test the efficacy of opioids as
rescue medication. We excluded studies with complete tapering off opioids after
open-label run-in followed by a randomized placebo-controlled parallel design.
We excluded studies in which drugs other than opioid agonists were used as a fixed
combination with opioids (e.g. tramadol with acetaminophen) because it is not
possible to detangle the effects of opioids from the one or the other analgesic.
Limited rescue medication with non-opioids was accepted.
We excluded studies in which a defined opioid was compared to the same opioid with
abuse deterrent formulations (ADFs) (e.g. oxycodone with and without naloxone) or
in which two opioids combined were compared with a single opioid.
We excluded studies in which opioids were compared to non-pharmacological
treatments. We excluded studies with propoxyphene because the drug has been
withdrawn from the market (United States Food and Drug Administration NEWS
RELEASE vom 19.11.2010).
7
Types of outcome measures
The selection of outcomes was based on the recommendations of the ACTINPAIN
writing group of the International Association for the Study of Pain (IASP) Special
Interest Group (SIG) on Systematic Reviews in Pain Relief and the Cochrane Pain,
Palliative and Supportive Care Systematic Review Group editors for reporting meta-
analyses of RCTs in chronic pain (22). We included pain intensity as additional
outcome because most studies conducted before 2005 did not report responder
analyses (5,26).
Efficacy
1. Pain intensity ratings
2. Proportion of patients reporting 50% pain relief (responders)
3. Global improvement (Patient Global Impression of Change PGIC): Number of
patients reporting to be much or very much improved
4. Function: Examples of functional impairment outcomes that could be extracted
were as follows: Brief Pain Inventory (BPI); Fibromyalgia Impact Questionnaire
Subscale Physical Function (FIQ); Multidimensional Pain Inventory (MPI, physical
function); Western Ontario and McMaster Universities Arthritis Index (WOMAC);
Neck Disability Index (NDI); Oswestry Disability Index (ODI); Pain Disability Index
(PDI), physical disability; Roland Disability Questionnaire (RDQ); Short Form (SF)-36
or SF-12 (physical functioning scale). In case both, generic and disease specific
instruments were used, disease specific instruments were preferred (e.g. FIQ over
PDI, WOMAC over SF-36 physical functioning scale).
5. Proportion of patients who withdrew due to lack of efficacy
We excluded studies in which the primary outcome measure was not one of the five
outcomes of efficacy as defined above.
Tolerability
1.Proportion of patients who withdrew because of adverse events
Safety
1. Proportion of patients who experienced any SAE
2. Proportion of patients who died during study
Search methods for identification of studies
Electronic searches
The review updated and expanded the search of literature for the first version of the
German guideline on long-term administration of opiods (LONTS) which searched the
8
literature until October 2008 (27). The updated and expanded search included
CENTRAL, Medline and Scopus from October 2008 to October 2013 and all types of
chronic non-cancer pain (CNCP). The search was conducted by PK. Our search
included all languages. The search strategy for Pubmed is detailed in the electronic
supplementary table 1.
Searching other resources
We searched bibliographies from reviewed articles and we retrieved relevant articles.
We screened the references of recent systematic reviews on long-term treatment of
opioids in CNCP (12,17,19,20) and in OA pain (5,26). We contacted the steering
committee of the update of the German guideline on long-term administration of
opioids (LONTS) to assist in locating fully published studies which we might have
missed by our search.
Data collection and analysis
Selection of studies
Two authors (PW, WH) independently screened titles, abstracts, and keywords of
trials that we identified by the search strategies to determine if our inclusion criteria
were met. We obtained the full text of trials that either appeared to meet our inclusion
criteria or for which we considered their inclusion was uncertain. We screened these
articles for inclusion and we resolved any disagreements through discussion.
Data extraction
Three pairs of authors (CS, WH; FP, WH; RS, WH) independently extracted data,
using the standardized forms on inclusion and exclusion criteria of the studies,
characteristics of participants, intervention group, clinical setting, interventions,
country of study, and study funding. If data were not available in a format that was
appropriate for data extraction, we did not contact the authors of the trial for further
clarification. We resolved any disagreements through discussion.
Dealing with missing data
If both, baseline observation carried forward (BOCF) data as well as last observation
carried forward (LOCF) data were reported for intention-to-treat (ITT) analysis, we
preferred BOCF data (23).
Where means or standard deviations (SD) were missing, we calculated them from t-
values, CIs or standard errors, as far as reported in the articles (15). If missing SDs
could not be calculated from these values, the study was excluded from analysis.
Measures of treatment effect
9
The effect measures of choice were absolute risk differences (RD) for dichotomous
data and standardized mean difference (SMD) for continuous data (pain intensity,
physical functioning) using a random effects model (method inverse variance). For
subgroup analyses of dichotomous outcomes we calculated risk ratios (RR). We
expressed uncertainty using 95% CIs. The threshold for “appreciable benefit” or
“appreciable harm” was set for categorical variables by a relative risk reduction
(RRR) or relative risk increase (RRI) >= 25% (4). We used Cohen’s categories to
evaluate the magnitude of the effect size, calculated by SMD, with Hedge’s g of 0.2 =
small, 0.5 = medium and 0.8 = large (6). We labelled g < 0.2 to be a ”not substantial”
effect size. We assumed a minimally important difference if there was small effect
size (9).
The numbers needed to treat for an additional beneficial outcome (NNTB) and the
numbers needed to treat for an additional harm (NNTH) for dichotomous variables
(50% pain reduction [responder], Patient Global Impression of Change [PGIC], drop
out due to adverse events, SAEs, death) were calculated by a calculator provided by
the Cochrane Musculoskeletal Group (personal communication).
Subgroup comparisons were performed by the test of interaction (1).
Unit-of-analysis issues
In the case of multiple opioid arms compared with one placebo group, we adjusted
the number of participants in the placebo group according to the number of opioid
arms for continuous outcomes.
Data synthesis
We pooled data from RCTs comparing opioids to placebo controls by a random-
effects model (method inverse variance). We used the I² statistic to describe the
percentage variability of effect estimates that is due to heterogeneity. I² values above
50% indicate high heterogeneity, between 25% and 50% moderate heterogeneity,
and below 25% low heterogeneity (15).
The risk of bias in each trial was assessed independently by two pairs of authors
(CS, WH; FP; WH; RS, WH) using eight aspects of bias recommended by the
Cochrane Collaboration considering (see figure 2 and see electronic supplementary
table 2) (4). We defined a study to have high quality (low risk of bias) when it fulfilled
six to eight, to have moderate quality study (moderate risk of bias) if it fulfilled three to
five and to have low quality (high risk of bias) if it fulfilled zero to two aspects.
10
We used the Grading of Recommendations Assessment, Development and
Evaluation (GRADE) to assess the overall quality evidence (13,15), defined as the
extent of confidence into the estimates of treatment benefits and harms. Quality
ratings were made separately for each of the eight quality indicators. The quality of
evidence was downgraded by one level for each of the following factors that were
encountered:
Limitations of study design: > 50% of the participants in low quality studies,
Inconsistency of results: I² > 50%
Indirectness: We assessed whether the question being addressed in this systematic
review was different from the available evidence regarding the population in routine
clinical care, if patients with clinically relevant somatic disease and/ or major mental
disorders (history of substance abuse or major depression) were excluded in 50%
of participants.
Imprecision: There was only one trial or when there was more than one trial, the total
number was < 400 patients or when 95% CI of the effect size included zero.
We categorized the quality of evidence as follows:
· High: further research is very unlikely to change the confidence in the estimate of
effect.
· Moderate: further research is likely to have an important impact in the confidence in
the estimate of effect.
· Low: further research is very likely to have an important impact on our confidence in
the estimate of effect and is likely to change the estimate.
· Very low: any estimate of effect is very uncertain.
Assessment of reporting biases
We used the Egger intercept test and the Begg rank correlation test at the
significance level p < 0.05, if at least 10 studies were available. The Begg test
examines the rank correlation between standardized intervention effect and its
standard error. An asymmetric funnel plot would give rise to such a correlation and
may be indicative of publication bias (3). In the Egger test, the standard normal
deviate is regressed on precision, defined as the inverse of the standard error. The
intercept in this regression corresponds to the slope in a weighted regression of the
effect size on the standard error (8).
Subgroup analysis
11
Subgroup analyses were a priori planned to assess the variations in effect sizes
(heterogeneity) by pooling study results of the relative effects of opioids compared to
placebo for the outcomes (pain intensity and drop out due to adverse events) for
different types of opioids (pure opioids versus opioids with additional modes of action
[tramadol, tapentadol]) and for treatment duration (short-term, intermediate-term and
long-term studies). At least two studies should be available for subgroup analysis.
Sensitivity analyses
We performed sensitivity analyses of all types of opioids pooled together compared
to placebo groups pooled together for the outcomes in studies in which we extracted
means and/ or SDs from figures or calculated SD from p-values.
Software
Comprehensive meta-analysis (Biostat, Englewood, NJ, USA) and RevMan Analysis
(RevMan 5.2) software of the Cochrane Collaboration were used for statistical
analyses.
Results
Literature search
After removing duplicates, the literature search produced unique 12601 citations.
Through screening, 12580 records were excluded. Twenty-one full-text articles were
assessed for eligibility. One study was excluded after full-text review. Twenty studies
with 33 treatment arms were included in the meta-analysis (see Figure 1).
Study characteristics (see table 1 and electronic supplementary table 3)
Study design: We included 20 RCTs with 33 treatment arms, with 8545 participants
and a median study duration of 12 (4 - 24) weeks. One study (5%) had a duration
12 weeks, namely 24 weeks (appendix reference 4). Fifteen (75.0%) studies had a
parallel, one (5.0%) study had a cross-over and four (20.0%) studies had an EERW
design. Fifteen (75.0%) studies were conducted in North America, four studies (20%)
in Europe and one study (5%) in different continents. Nineteen studies (50%) were
funded by the manufacturer of one of the tested drugs. One study was supported by
public funding.
Participants: Participants were diagnosed with OA of the hip and/ or knee. Seventeen
(85%) studies excluded patients with current and/ or a history of substance abuse
12
and/ or current major mental disorders and 18 (90%) studies excluded patients with
clinically relevant medical diseases. The range of the mean ages of participants in
the studies was 58-64 years. The participants were predominantly caucasian, the
gender ratio was nearly balanced.
Interventions: Six studies each tested oxycodone and tramadol, two studies each
buprenorphine, hydromorphine, morphine and tapentadol and one study each
codeine, fentanyl and oxymorphone. All oral opioids were administered by extended
release (ER) formulations except one four arm study which used in one treatment
arm immediate release morphine (appendix reference 6). 16 (80%) studies used a
flexible dosage of the opioid, the remaining ones used a fixed dosage. Five (25%)
studies did not report on rescue medication, three (15%) studies prohibited any
analgesic rescue medication and 12 (60%) studies allowed rescue medication
(acetaminophen, NSAIDs, short-acting opioids).
Study quality
Risk of bias could not be exactly assessed in all studies due to poor method
reporting. No study had a high study quality. Fourteen studies (70%) had a moderate,
five studies (20%) had a low study quality, and two studies (10%) had a very low
study quality (see Figure 2 for risk of bias graph and Figure 3 for risk of bias
summary). Detailed information regarding risk of bias assessments of every study are
given in the Electronic Supplementary Material table 4.
Synthesis of results
Parallel and cross-over design (Results are reported with 95% CI)
Sixteen studies with 6743 participants were entered into an analysis of mean pain
reduction at the end of the study. Opioids were superior to placebo (SMD -0.22 [-
0.28, -0.17]; p < 0.00001; I² = 21%) (moderate quality evidence). According to
Cohen’s categories the effects size was small (see Electronic Supplementary
Material figure 1). One study (appendix reference 2) did not report means and SDs,
but that tapentadol and oxycodone were not significantly superior to placebo.
Two studies with 2709 participants were entered into an analysis of 50% pain
reduction at the end of the study. Opioids were not superior to placebo (RD -0.01 [-
0.07, 0.06] p = 0.82, I² = 75%) (low quality evidence) (see Electronic Supplementary
Material figure 2).
13
Three studies with 2251 participants were entered into an analysis of Patients’ Global
Impression of Change (PGIC) reports to be much or very much improved at the end
of the study: Opioids were superior to placebo (RD 0.13 [0.05, 0.21]; p = 0.002; I² =
74%) (moderate quality evidence) (see Electronic Supplementary Material figure 3).
510/1018 (50.0%) of patients in opioid and 467/1233 (37.8%) of patients in placebo
groups reported to be much or very much improved (NNTB 8 [6-12]). According to
the predefined criteria there was an appreciable benefit by opioids (RRR 32 % [20%-
45%]).
Fourteen studies with 5887 participants were entered into an analysis of improved
physical functioning at the end of the study. Opioids were superior to placebo (SMD -
0.22 [-0.28, -0.17]; p < 0.00001; I² = 0%) (moderate quality evidence) (see Electronic
Supplementary Material figure 4). According to Cohen’s categories, the effect size
was small. Two studies did not report means and SDs. One study reported that
tramadol was superior to placebo (appendix reference 8). One study reported that
tapentadol and oxacodone were not superior to placebo (see appendix reference 2).
Fourteen studies with 6457 participants were entered into an analysis of drop outs
due to lack of efficacy. Patients dropped less frequently out in opioid than in placebo
group (RD -0.13 [.0.16, -0.10], p<0.0001, I²=72) (moderate quality evidence) (see
Electronic Supplementary Material figure 5). 386/3873 (10.0%) dropped out in opioid
and 596/2584 (23.1%) dropped out in placebo group (NNTB 8 [7-9]). According to the
predefined criteria there was an appreciable benefit by opioids (RRR 57 % [51%-
62%]).
Fifteen studies with 6834 participants were entered into an analysis of drop outs due
to adverse events. Patients dropped out more frequently with opioids than with
placebo (RD 0.17 [0.14, 0.21], p < 0.00001, I² = 77%) (moderate quality evidence)
(see Electronic Supplementary Material figure 6). 25.6% (1075/4207) of patients
dropped out in the opioid groups and 7.0% (184/2627) in placebo groups due to
adverse events (NNTH 5 [95% CI 4 - 6) (see Electronic Supplementary Material
figure 5). According to the predefined criteria there was an appreciable harm by
opioids (RRI 237 % [192%-291%]).
Eleven studies with 5520 participants were entered into an analysis of SAEs: There
was no significant difference between opioids and placebo (RD 0.00 [- 0.00, 0.01]; p
14
= 0.37; I² = 2%) (moderate quality evidence) (see Electronic Supplementary Material
figure 7).
Seven studies with 4694 participants were entered into an analysis of deaths. 1/2752
patients in opioid and 4/1942 in placebo groups dies during the study (RD - 0.00 [-
0.00, 0.00]; p = 0.88, I²=0%) (moderate quality evidence) (see Electronic
Supplementary Material figure 8).
EERW design
Three studies with 823 participants were entered into an analysis of mean pain
reduction from baseline to end of treatment. Opioids were superior to placebo (SMD -
0.26 [-0.49, -0.03]; p = 0.03; I² = 57%) (low quality evidence). According to Cohen’s
categories the effects size was small (see Electronic Supplementary Material figure
9).
One study with 344 participants was entered into a responder analysis of 50% pain
reduction at the end of the study. Opioid was not superior to placebo (RD 0.09 [-0.01,
0.20]; p = 0.08) (moderate quality evidence) (see Electronic Supplementary Material
figure10).
One study with 344 participants was entered into an analysis of physical functioning
at the end of the study. Opioid was not superior to placebo (SMD -0.13 [- 0.34, 0.08]
p = 0.24) (moderate quality evidence) (see Electronic Supplementary Material figure
11). One study reported that tramadol was superior to placebo (appendix reference
8) but did not provide means and SDs.
Four studies with 1178 participants were entered into an analysis of drop outs due to
lack of efficacy. Patients dropped less frequently out in opioid than in placebo group
(RD -0.13 [.0.18, -0.09], p<0.0001, I²=7) (moderate quality evidence) (see Electronic
Supplementary Material figure 12). 68/599 (11.4%) dropped out in opioid and
140/579 (24.2%) dropped out in placebo group (NNTB 8 [6-12]). According to the
predefined criteria there was an appreciable benefit by opioids (RRR 53 % [39%-
64%]).
Three studies with 826 participants were entered into an analysis of dropping out due
to adverse events. There was no significant difference between opioids and placebo
(RD 0.05 [-0.00, 0.11], p = 0.06, I² = 35%) (moderate quality evidence) (see
Electronic Supplementary Material figure 13).
Two studies with 756 participants were entered into an analysis of SAEs. There was
no significant difference between opioids and placebo (RD 0.01 [- 0.01, 0.03]; p =
15
0.40; I² = 0%) (moderate quality evidence) (see Electronic Supplementary Material
figure 14).
One study (appendix reference 10) with 412 participants explicitly stated that were no
deaths in both groups.
Subgroup and sensitivity analyses
In parallel and cross-over studies, opioids and opioids with additional mode of action
(tapentadol, tramadol) did not significantly differ in mean pain reduction (z= 0.01,
p=0.87). Thedrop out rates due to adverse events was higher with opioids than with
opioids with additional mode of action (z=3, p=0.003) (see table 2).
Removing two studies with means and SDs extracted from figures from analysis did
not change the significance and the magnitude of effect of pain reduction and
dropping out due to adverse events (details available on request).
Publication bias
The Kendall tau of the Begg rank correlation test of the outcome pain intensity
reduction of studies with a parallel and cross over design was significant (tau= -0.47,
P two-tailed = 0.0005). The Egger intercept of the outcome pain intensity of studies
with a parallel and cross over design was significant (intercept = -3.79, p two-tailed =
0.01). Both tests were indicative of a publication bias.
Discussion
Summary of main results
In short-term studies (4 - 12 weeks), opioids were superior in terms of efficacy and
inferior in terms of tolerability to placebo. Opioids and placebo did not differ in terms
of safety.The effect size of opioids on pain and physical function were small.
Comparison with other systematic reviews
The results of this systematic review on the efficacy, but also the limited tolerability of
opioids compared to placebo are consistent with the ones of previous systematic
reviews of Cochrane groups on opioids in OA pain. Cepeda and co-workers (
5) analysed 11 RCTs with a total of 1019 participants who received tramadol or
tramadol/ paracetamol and 920 participants who received placebo or active-control
irrespectively of study duration. Participants who received tramadol had less pain (-
8.5 units on a 0 to 100 scale; 95% CI -12.0 to -5.0) than patients who received
16
placebo. Of every 8 people who received tramadol or tramadol/ paracetamol, 1
(12.5%) stopped taking the medication because of adverse events, the NNTH was 8
(95% CI 7 to 12) for major adverse events.
Nüesch and coworkers (26) included ten trials with 2268 participants irrespectively of
study duration. Oral codeine was studied in three trials, transdermal fentanyl and oral
morphine in one trial each, oral oxycodone in four, and oral oxymorphone in two
trials. Overall, opioids were more effective than control interventions in terms of pain
relief (SMD -0.36, 95% CI -0.47 to -0.26) and improvement of function (SMD -0.33,
95% CI -0.45 to -0.21). The authors did not find substantial differences in effects
according to type of opioid, analgesic potency (strong or weak), daily dose and
duration of treatment. Adverse events were more frequent in patients receiving
opioids compared to control. The pooled risk ratio was 1.55 (95% CI 1.41 to 1.70) for
any adverse event (4 trials), 4.05 (95% CI 3.06 to 5.38) for dropouts due to adverse
events (10 trials), and 3.35 (95% CI 0.83 to 13.56) for SAEs (two trials).
Limitations
Only double-blind randomized placebo-controlled studies were included in this meta-
analysis, representing a high level in evidence based medicine. However, the
methodological quality of the included studies was predominantly at least moderate.
The blinding of outcome assessment was mostly unclear implying a high detection
bias. Complete data reporting was often doubtful, leading to a high attrition bias.
There was a high risk of selective reporting causing a relevant reporting bias. Almost
all studies were funded by the manufacturers of the tested drugs implying a high
funding bias.The external validity of the study results for OA-patients in routine
clinical care is limited, because no subgroup analyses of very aged patients (e.g. >75
years) was presented by any study. The Kendall tau of the Begg rank correlation test
of the outcome pain reduction and the Egger intercept of the outcome pain, both
were indicative for publication bias. Negative study results may not have been
published which can lead to an overestimation of the true intervention effect. On the
other hand, we might have underestimated the quality of studies because we did not
ask the authors for missing details. Summarizing, the methodological quality of the
studies and their reporting should be improved in future research.
The conclusion on the safety of opioids compared to placebo is limited by the low
number of serious adverse events and deaths.
17
Future research directions
The ability of systematic reviews of placebo-controlled studies to guide physicians
and patients in the choice of treatment options in chronic OA pain is very limited.
Head-to-head comparisons of opioids with other drugs have rarely been been
conducted in chronic OA pain (11,16). A comparative effectiveness review compared
Cox 1- and Cox 2-inhibitors (6) but did not include opioids. A recent systematic
review of head-to-head comparisons of opioids and non-opioid analgesics found low
quality evidence (five studies) that nonsteroidal agents were superior to tramadol in
pain reduction, improvement of physical function and tolerability (30). To provide a
superior evidence base for future treatment guidelines, additional RCTs must be
conducted in which existing drugs are directly compared with each other and
administered in various combinations. Additionally, whether non-pharmacological
approaches for the management of patients with chronic OA pain (eg, physical
therapy and life-style interventions) should be used before, in combination with, or
after pharmacological treatments, must be tested in clinical trials. Traditional RCTs
may not be the method of choice to answer all these questions; alternative
approaches should be developed and evaluated (eg, systematic comparative
effectiveness studies of health care registry data.
Conclusions for clinical practice
Opioids may be considered for the short-term treatment (4 - 24 weeks) of chronic OA
pain. However, clinicians should keep in mind that no current evidence-based
guideline recommends opioids as first-line treatment options for chronic OA pain
(11,16). In addition, recent data from the UK General Practice Research Database
indicated that the risk of fracture was increased during initiation of opioid therapy
(18).
The EULAR (European League Against Rheumatism) guideline recommended
patient information and education, lifestyle changes, exercise, weight loss, assistive
technology and adaptations, footwear and work as non-pharmacological treatments
(11). The ACR strongly recommended non-pharmacological therapies for the
management of knee OA such as aerobic, aquatic, and/ or resistance exercises as
well as weight loss for overweight patients. Non-pharmacological modalities
conditionally recommended for knee OA included medial wedge insoles for valgus
18
knee OA, subtalar strapped lateral insoles for varus knee OA, medially directed
patellar taping, manual therapy, walking aids, thermal agents, Tai Chi, self
management programs, and psychosocial interventions. Pharmacological modalities
conditionally recommended for the initial management of patients with knee OA
included acetaminophen, oral and topical NSAIDs (in combination with a proton-
pump inhibitor) and intraarticular corticosteroid injection. Intraarticular hyaluronate
injections, duloxetine, and opioids were conditionally recommended in patients who
had an inadequate response to initial therapy. Opioid analgesics were strongly
recommended in patients who were either not willing to undergo or had
contraindications for total joint arthroplasty after having failed medical therapy.
Recommendations for hip OA were similar to those for the management of knee OA
(16).
Long-term open-label studies demonstrated that a minority of patients with chronic
OA pain initially treated with opioids will experience a sustained (> 1 year) response
with no or tolerable side effects (14,29). Long-term ( 26 months) opioid therapy may
be offered to sustained responders to short-term opioid therapy and/ or to non-
responders to physical therapy and/ or life-style interventions or patients who are not
suited for total joint arthroplasty due to major medical diseases. However, the
potential benefits of long-term opioid therapy must be carefully weighted against the
potential risks of long-term opioid therapy such as aberrant drug use, increased
mortality, fractures and hypogonadism (15,18).
Achknowledgements
We thank Professor Sorgatz (Essen) for revieweing our extractions of the drop out
rates due to lack of efficacy.
19
Table 1: Overview of the randomized controlled trials in chronic osteoarthritis pain included into the systematic review (grouped by type of opioid in alphabetical order)
Buprenorphine
Reference Year Countries of study centers
Study design Population type Number of patients randomized
Interventions and control group
Duration of trial
Breivik 2010 Denmark, Finland, Norway, Sweden
Parallel Osteoarthritis pain 199
Stable dose NSAID or Coxib oral plus 7-day buprenorphine flexible 5 or 10 or 20 ug/h transdermal patch Stable dose NSAID or Coxib plus placebo transdermal patch
5 - 9 days screening 24 weeks titration and maintenance 4 weeks follow-up
Munera 2010 USA
Parallel Osteoarthritis pain 315
7-day buprenorphine flexible 5 or 10 or 20 ug/h transdermal patch Placebo transdermal patch
1-week run-in period 3 weeks titration 1 week maintenance
Codeine
Reference Year Countries of study centers
Study design Population type Number of patients randomized
Interventions and control group
Duration of trial
Peloso Canada 2000
Parallel Osteoarthritis pain 103
Codeine flexible 100 – 400 mg/d oral Placebo oral
Duration screening not reported 4 weeks titration and maintenance
20
Fentanyl
Reference Year Countries of study centers
Study design Population type Number of patients randomized
Interventions and control group
Duration of trial
Langford Great Britain 2006
Parallel Osteoarthritis pain 399
Stable dosage of steroids or NSAIDS oral plus titration to individually optimal dosage of fentanyl 25,50,75 or 100 ug/h transdermal patch
Stable dosage of steroids or NSAIDS oral plus placebo transdermal patch
1 week screening 6 weeks titration and maintenance 3 days tapering off
Hydromorphone
Reference Year Countries of study centers
Study design Population type Number of patients randomized
Interventions and control group
Duration of trial
Rauck 2012 USA
Parallel Osteoarthritis pain 981
Hydromorphone fixed 8 or 16 mg/d oral Placebo
≤ 2 weeks wash out ≤ 16 days titration 12 weeks maintenance ≤ 1 week taper
Vojtassak 2011 Slovakia
Parallel Osteoarthritis pain 278
Hydromorphone fixed 32 mg/d oral Placebo
≤ 1 week screening 4 week titration 12 week maintenance 28 weeks open label
21
Morphine
Reference Year Countries of study centers
Study design Population type Number of patients randomized
Interventions and control group
Duration of trial (titration and maintenance)
Caldwell 2002 USA
Parallel Osteoarthritis pain 295
Extended release morphine 30 mg/d once daily in the morning oral Extended release morphine 30 mg/d once daily in the evening oral Morphine 2x15 mg/d oral Placebo oral
Duration screening and wash-out not reported 4 weeks maintenance 26 weeks open label
Katz 2010 USA
Enriched-enrollment randomized withdrawal design
Osteoarthritis pain 547
Morphine and naltrexone extended release flexible 20 - 160 mg/d oral Placebo
Screening and wash-out ≤ 14 days ≤ 45 days open label titration 12 weeks double-blind withdrawal
22
Oxycodone
Reference Year Countries of study centers
Study design
Population type Number of patients randomized
Interventions and control group
Duration of trial (titration and maintenance)
Caldwell 1999 USA
Enriched-enrollment randomized withdrawal
Osteoarthritis pain 107
Oxycodone oral flexible 40 to 100 mg/d oral Placebo
Duration screening and wash-out not reported 4 weeks open label titration 4 weeks double-blind withdrawal
Friedmann USA 2011
Enriched-enrollment randomized withdrawal
Osteoarthritis pain 412
Oxycodone oral flexible 10 - 80 mg/d oral
Duration screening and wash-out 4 - 10 days 2 weeks open label titration 12 weeks double-blind maintenance 6 months open label
Markenson 2005 USA
Parallel Osteoarthritis pain 107
Oxycodone oral flexible up to 120 mg/d oral
Duration screening and wash-out not reported 13 weeks titration and maintenance
23
Oxymorphone
Reference Year Countries of study centers
Study design
Population type Number of patients randomized
Interventions and control group
Duration of trial (titration and maintenance)
Matsumoto 2005 USA
Parallel Osteoarthritis pain 489
Oxymorphone oral fixed 40 mg/d or 80 mg/ Oxycodone oral 40 mg/d Placebo
2 - 7 days wash-out 4 weeks fixed
Tapentadol
Reference Year Countries of study centers
Study design Population type Number of patients randomized
Interventions and control group
Duration of trial (weeks)
Afilalo 2010 Australia, Canada, New Zealand, USA
Parallel Osteoarthritis knee pain 1050
Tapentadol flexible 200 - 600 mg/d oral Oxycodon flexible 40 - 100 mg/d oral Placebo
< 2 weeks screening 3 - 7 days wash-out 3 weeks titration 12 weeks maintenance 10 - 14 days follow-up
Afilalo 2013 13 European countries
Parallel Osteoarthritis knee pain 987
Tapentadol flexible 200 - 600 mg/d oral Oxycodon flexible 40 - 100 mg/d oral Placebo
Duration of screening not reported 3 - 7 days wash-out 3 weeks titration 12 weeks maintenance 2 weeks follow-up
24
Tramadol
Reference Year Countries of study centers
Study design
Population type Number of patients randomized
Interventions and control group
Duration of trial (weeks)
Babul 2004 USA
Parallel Osteoarthritis knee pain 246
Tramadol flexible 100 - 400 mg/d oral Placebo
3 - 7 days wash-out 1 week titration 12 weeks maintenance
Delemos 2011 USA
Parallel Osteoarthritis pain 806
Tramadol fixed 100, 200 or 300 mg/d oral Placebo oral
2 - 7 days wash-out, 12 weeks maintenance, 1 week follow-up
Fishmann 2007 USA
Parallel Osteoarthritis knee or hip pain 552
Tramadol fixed 100, 200 or 300 mg/d oral Placebo
6 days titration 12 weeks maintenance
Fleischmann 2000 USA
Parallel Osteoarthritis knee or hip pain 129
Tramadol flexible 100 - 400 mg/d oral Placebo
10 days screening and wash-out 12 weeks titration and maintenance
Gana 2006 USA
Parallel Osteoarthritis knee or hip pain 1020
Tramadol fixed 100, 200 or 300 or 400 mg/d oral Placebo
2 - 7 days wash-out 12 weeks maintenance 1 week follow-up
Thorne 2008 Canada
Cross-over Osteoarthritis 100
Tramadol flexible 100 - 400 mg/d oral Placebo
Up to 1 week wash-out 4 weeks each period 6 months open label
25
Table 2 : Effect sizes of diffent classes of opioids on selected outcome variables
Outcome
title
Number
of
studies
Number
of
patients
Effect size
[95% CI])
Heterog
eneity
I² [%]
Test for
overall
effect
p-value
Opioids
01 Pain 11 3509 SMD -0.23 (-0.32,
-0.14)
32 < 0.0001
02 Drop out
due to
adverse
events
8 3582 RR 4.68
(3,51,6.24)
72 < 0.0001
Opioids with additional mode of action *
01 Pain 6 3545 SMD -0.22 (-0,31,
-0.14)
14 < 0.0001
02 Drop out
due to
adverse
events
7 3618 RR 2.55
(2.06,3.14)
49 < 0.0001
Abbreviations: CI = Confidence interval; RR = Relative risk ; SMD = Standardized
mean difference; * tapentadol, tramadol
26
Figure 1: PRISMA Flow Diagram
Records identified through
database searching (n = 17 591)
CENTRAL: (n=3688) Medline: (n=6944) Scopus: (n=6959)
Scre
enin
g
Incl
ud
ed
Elig
ibili
ty
Iden
tifi
cati
on
Additional records identified through hand searching
(n = 52)
Records after duplicates removed (n = 12 601 )
Records screened (n = 12601 )
Records excluded (n =12 580)
Full-text articles assessed for eligibility
(n = 21 )
Full-text articles excluded, with reasons (n = 1)
Study design did not meet inclusion criteria (n=1)
Studies included in
qualitative synthesis (n = 20)
Studies included in quantitative synthesis
(meta-analysis) (n =20)
27
Figure 2: Risk of bias graph
Random sequence generation (selection bias)
Allocation concealment (selection bias)
Blinding of participants and personnel (performance bias)
Blinding of outcome assessment (detection bias)
Incomplete outcome data (attrition bias)
Selective reporting (reporting bias)
Selection bias
Funding bias
0% 25% 50% 75% 100%
Low risk of bias Unclear risk of bias High risk of bias
28
Figure 3: Risk of bias summary/ Study quality
(Study quality was defined according to the eight quality indicators as follows: high =
6 - 8, moderate = 3 – 5, low = 0 – 2,
29
Random
sequence g
enera
tion (
sele
ction b
ias)
Afilalo 2010 +
Afilalo 2013 ?
Babul 2004 +
Breivik 2010 +
Caldwell 1999 +
Caldwell 2002 ?
DeLemos 2011 +
Fishman 2007 +
Fleischmann 2000 +
Friedmann 2011 ?
Gana 2006 +
Katz 2010 +
Langford 2006 +
Markenson 2005 +
Matsumoto 2005 +
Munera 2010 ?
Peloso 2000 ?
Rauck 2013 ?
Thorne 2008 ?
Vojtassak 2011 +
Allo
ca
tio
n c
on
ce
alm
ent (s
ele
ctio
n b
ias)
+
?
?
+
+
?
+
+
?
?
+
?
+
+
?
?
?
?
?
?
Blin
din
g o
f p
art
icip
ants
an
d p
ers
on
ne
l (p
erf
orm
ance
bia
s)
?
+
+
+
+
+
+
+
+
?
+
+
+
?
+
+
+
+
+
?
Blin
din
g o
f o
utc
om
e a
sse
ssm
en
t (d
ete
ctio
n b
ias)
?
?
?
?
?
?
?
?
?
?
?
?
?
?
+
?
?
?
?
?
Inco
mp
lete
outc
om
e d
ata
(attritio
n b
ias)
?
?
?
?
?
?
?
?
?
?
?
?
?
?
?
?
–
?
?
?
Se
lective
rep
ort
ing (
repo
rtin
g b
ias)
+
–
–
?
–
–
?
–
?
–
?
+
–
?
–
+
–
?
?
+
Se
lection
bia
s
+
?
+
+
?
+
+
+
+
?
–
+
+
+
+
?
+
+
+
+
Fu
nd
ing
bia
s–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
+
–
–
–
30
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IIIb, Multicentre, Randomised, Parallel-Group, Placebo-Controlled, Double-Blind
Study to Investigate the Efficacy and Safety of OROS Hydromorphone in Subjects
with Moderate-to-Severe Chronic Pain Induced by Osteoarthritis of the Hip or the
Knee. Pain Res Treat 2011; 2011:239501
Excluded studies (with reason)
1.Burch F, Fishman R, Messina N, Corser B, Radulescu F, Sarbu A, Craciun-Nicodin
MM, Chiriac R, Beaulieu A, Rodrigues J, Beignot-Devalmont P, Duplan A, Robertson
S, Fortier L, Bouchard S. A comparison of the analgesic efficacy of Tramadol
Contramid OAD versus placebo in patients with pain due to osteoarthritis. J Pain
Symptom Manage 2007;34(3):328-38. (study design did not meet inclusion criteria)
36
Electronic supplementary tables Table 1: Search strategy PubMed November 18, 2013
Search Query Items found
#40 Search (#31 AND #34 AND #38) Filters: Publication date from 2008/10/01 to 2013/10/31
6938
#39 Search (#31 AND #34 AND #38) 22855
#38 Search (#35 OR #36 OR #37) 165885
#34 Search (#32 OR #33) 976115
#31 Search (#29 NOT #30) 2846830
#37 Search opiate[nm] OR anileridine[nm] OR carfentanil[nm] OR dezocine[nm] OR dihydroetorphine[nm] OR dihydrocodein[nm] OR dipipanone[nm] OR endomorphin[nm] OR eseroline[nm] OR hydroxycodeinone[nm] OR kaolin-pectin[nm] OR ketobemidone[nm] OR levomethadryl[nm] OR levomethadyl[nm] OR methynaloxone[nm] OR nocistatin[nm] OR oxycodein[nm] OR oxymorph[nm] OR paracymethadol[nm] OR paregoric[nm] OR protopine[nm] OR remifentanil[nm] OR sufentanyl[nm] OR tapentadol[nm]
2949
#36 Search Analgesics, Opioid[mh] OR Narcotics[mh] OR morphine derivatives[mh] OR narcotic[mh] OR opiate[mh] OR opioid[mh] OR acemethadone[mh] OR acetylmethadol[mh] OR alfentanil[mh] OR alphaprodine[mh] OR anileridine[mh] OR benzomorphan[mh] OR buprenorphine[mh] OR butorphanol[mh] OR carfentanil[mh] OR codeine[mh] OR dextromoramide[mh] OR dextropropoxyphene[mh] OR dezocine[mh] OR diacetylmorphine[mh] OR diamorphine[mh] OR dihydroetorphine[mh] OR dimepheptanol[mh] OR dionine[mh] OR diphenoxylate[mh] OR diprenorphine[mh] OR dihydrocodein[mh] OR dihydrohydroxycodeinone[mh] OR dihydromorphine[mh] OR dihydromorphinone[mh] OR dipipanone[mh] OR dynorphin[mh] OR endomorphin[mh] OR enkephalin[mh] OR eseroline[mh] OR etorphine[mh] OR ethylketocyclazocine[mh] OR ethylmorphine[mh] OR fenoperidine[mh] OR fentanyl[mh] OR heroin[mh] OR hydrocodon[mh] OR hydromorphon[mh] OR hydroxycodeinone[mh] OR isocodeine[mh] OR isonipecain[mh] OR isopromedol[mh] OR kaolin-pectin[mh] OR ketobemidone[mh] OR levallorphan[mh] OR levodroman[mh] OR levomethadryl[mh] OR levomethadyl[mh] OR levorphan[mh] OR meperidine[mh]
108754
37
Search Query Items found
OR meptazinol[mh] OR methadol[mh] OR methadone[mh] OR methadyl acetate [mh] OR morphia[mh] OR morphine[mh] OR methynaloxone[mh] OR nalbuphine[mh] OR nocistatin[mh] OR opium[mh] OR oxycodein[mh] OR oxycodone[mh] OR oxymorph[mh] OR pantopon[mh] OR papaveretum[mh] OR paracymethadol[mh] OR paregoric[mh] OR pentazocine[mh] OR pethidine[mh] OR phenazocine[mh] OR phenbenzorphan[mh] OR phenethylazocine[mh] OR phenoperidine[mh] OR pirinitramide[mh] OR promedol[mh] OR propoxyphene[mh] OR protopine[mh] OR pyrrolamidol[mh] OR remifentanil[mh] OR sufentanil[mh] OR sufentanyl[mh] OR talwin[mh] OR tapentadol[mh] OR thebaine[mh] OR theocodin[mh] OR tilidine[mh] OR tramadol[mh] OR trimeperidine[mh]
#35 Search Opioid Analgesics[tiab] OR Narcotics[tiab] OR morphine derivatives[tiab] OR narcotic[tiab] OR opiate[tiab] OR opioid[tiab] OR acemethadone[tiab] OR acetylmethadol[tiab] OR alfentanil[tiab] OR alphaprodine[tiab] OR anileridine[tiab] OR benzomorphan[tiab] OR buprenorphine[tiab] OR butorphanol[tiab] OR carfentanil[tiab] OR codeine[tiab] OR dextromoramide[tiab] OR dextropropoxyphene[tiab] OR dezocine[tiab] OR diacetylmorphine[tiab] OR diamorphine[tiab] OR dihydroetorphine[tiab] OR dimepheptanol[tiab] OR dionine[tiab] OR diphenoxylate[tiab] OR diprenorphine[tiab] OR dihydrocodein[tiab] OR dihydrohydroxycodeinone[tiab] OR dihydromorphine[tiab] OR dihydromorphinone[tiab] OR dipipanone[tiab] OR dynorphin[tiab] OR endomorphin[tiab] OR enkephalin[tiab] OR eseroline[tiab] OR etorphine[tiab] OR ethylketocyclazocine[tiab] OR ethylmorphine[tiab] OR fenoperidine[tiab] OR fentanyl[tiab] OR heroin[tiab] OR hydrocodon[tiab] OR hydromorphon[tiab] OR hydroxycodeinone[tiab] OR isocodeine[tiab] OR isonipecain[tiab] OR isopromedol[tiab] OR kaolin-pectin[tiab] OR ketobemidone[tiab] OR levallorphan[tiab] OR levodroman[tiab] OR levomethadryl[tiab] OR levomethadyl[tiab] OR levorphan[tiab] OR meperidine[tiab] OR meptazinol[tiab] OR methadol[tiab] OR methadone[tiab] OR methadyl acetate [tiab] OR morphia[tiab] OR morphine[tiab] OR methynaloxone[tiab] OR nalbuphine[tiab] OR nocistatin[tiab] OR opium[tiab] OR oxycodein[tiab] OR oxycodone[tiab] OR oxymorph[tiab] OR pantopon[tiab] OR papaveretum[tiab] OR paracymethadol[tiab] OR paregoric[tiab] OR pentazocine[tiab] OR pethidine[tiab] OR phenazocine[tiab]
141108
38
Search Query Items found
OR phenbenzorphan[tiab] OR phenethylazocine[tiab] OR phenoperidine[tiab] OR pirinitramide[tiab] OR promedol[tiab] OR propoxyphene[tiab] OR protopine[tiab] OR pyrrolamidol[tiab] OR remifentanil[tiab] OR sufentanil[tiab] OR sufentanyl[tiab] OR talwin[tiab] OR tapentadol[tiab] OR thebaine[tiab] OR theocodin[tiab] OR tilidine[tiab] OR tramadol[tiab] OR trimeperidine[tiab]
#33 Search chronic pain[mh] OR Chronic Disease[mh] OR Pain[mh] OR Pain Measurement[mh] OR Low Back pain[mh] OR Back Pain[mh] OR backache[mh] OR Osteoarthritis[mh] OR Rheumatoid arthritis[mh] OR Brachial Plexus Neuritis[mh] OR cervicobrachial pain syndrome[mh] OR Irritable bowel syndrome[mh] OR Irritable colon[mh] OR chronic pancreatitis[mh] OR Tension headache[mh] OR Headache[mh] OR Headache Disorders[mh] OR Temporomandibular joint syndrome[mh] OR globus syndrome[mh] OR Diabetic Neuropathies[mh] OR diabetic neuropath*[mh] OR Post herpetic neuralgia[mh] OR Postherpetic neuralgia[mh]OR neuropathic pain[mh] OR neuralgia[mh] OR polyneuropathies[mh] OR polyneuropathy[mh] OR Fibromyalgia[mh] OR Phantom Limb[mh] OR Phantom limb pain[mh] OR Cumulative Trauma Disorders[mh] OR Repetitive strain syndrome[mh] OR Whiplash Injuries[mh] OR Whiplash[mh]
704482
#32 Search chronic pain[tiab] OR Chronic Disease[tiab] OR Pain[tiab] OR Pain Measurement[tiab] OR Low Back pain[tiab] OR Back Pain[tiab] OR backache[tiab] OR Osteoarthritis[tiab] OR Rheumatoid arthritis[tiab] OR Brachial Plexus Neuritis[tiab] OR cervicobrachial pain syndrome[tiab] OR Irritable bowel syndrome[tiab] OR Irritable colon[tiab] OR chronic pancreatitis[tiab] OR Tension headache[tiab] OR Headache[tiab] OR Headache Disorders[tiab] OR Temporomandibular joint syndrom [tiab] OR globus syndrome[tiab] OR Diabetic Neuropathies[tiab] OR diabetic neuropath*[tiab] OR Post herpetic neuralgia[tiab] OR Postherpetic neuralgia[tiab]OR neuropathic pain[tiab] OR neuralgia[tiab] OR polyneuropathies[tiab] OR polyneuropathy[tiab] OR Fibromyalgia[tiab] OR Phantom Limb[tiab] OR Phantom limb pain[tiab] OR Cumulative Trauma Disorders[tiab] OR Repetitive strain syndrome[tiab] OR Whiplash Injuries[tiab] OR Whiplash[tiab]
572053
#30 Search animals[mh] NOT humans[mh] 3833757
#29 Search randomized controlled trial[pt] OR controlled 3308547
39
Search Query Items found
clinical trial[pt] OR randomized[tiab] OR placebo[tiab] OR drug therapy[sh] OR randomly[tiab] OR trial[tiab] OR groups[tiab] OR Systematic Review[pt] OR Systematic Review[tiab] OR Systematic Review[sh] OR Meta-Analysis[pt] OR Meta-Analysis[tiab] OR Meta-Analysis[sh] OR Cochrane Database Syst Rev[Journal]
40
41
Table 2. Criteria for risk of bias assessment for RCTs
1. Random sequence generation (selection bias)
Selection bias (biased allocation to interventions) due to inadequate generation
of a randomized sequence
There is a low risk of selection bias if the investigators describe a random component
in the sequence generation process such as: referring to a random number table,
using a computer random number generator, coin tossing, shuffling cards or
envelopes, throwing dice, drawing of lots or minimization (minimization may be
implemented without a random element, and this is considered to be equivalent to
being random).
There is a high risk of selection bias if the investigators describe a non-random
component in the sequence generation process such as: sequence generated by odd
or even date of birth, date (or day) of admission, hospital or clinic record number; or
allocation by judgement of the clinician, preference of the participant, results of a
laboratory test or a series of tests, or availability of the intervention.
2. Allocation concealment (selection bias)
Selection bias (biased allocation to interventions) due to inadequate
concealment of allocations prior to assignment
There is a low risk of selection bias if the participants and investigators enrolling
participants could not foresee assignment because one of the following, or an
equivalent method, was used to conceal allocation: central allocation (including
telephone, web-based and pharmacy-controlled randomization); sequentially
numbered drug containers of identical appearance; or sequentially numbered,
opaque, sealed envelopes.
There is a high risk of bias if participants or investigators enrolling participants could
possibly foresee assignments and thus introduce selection bias, such as allocation
based on: using an open randomallocation schedule (for example, a list of random
numbers); assignment envelopes were used without appropriate safeguards (for
example, if envelopes were unsealed or non-opaque or not sequentially numbered);
alternation or rotation; date of birth; case record number; or other explicitly
unconcealed procedures.
3. Blinding of participants and of personnel/ care providers (performance bias)
42
Performance bias due to knowledge of the allocated interventions by
participants and by personnel/care providers during the study
There is a low risk of performance bias if blinding of participants was ensured and it
was unlikely that the blinding could have been broken; or if there was no blinding or
incomplete blinding, but the review authors judge that the outcome is not likely to be
influenced by lack of blinding.
There is a low risk of performance bias if blinding of personnel was ensured and it
was unlikely that the blinding could have been broken; or if there was no blinding or
incomplete blinding, but the review authors judge that the outcome is not likely to be
influenced by lack of blinding.
4. Blinding of outcome assessor (detection bias)
Detection bias due to knowledge of the allocated interventions by outcome
assessors of patient reported outcomes
There is low risk of detection bias if the outcome assessor of patient-reported
outcomes is not the the clinical investigator but a statistician not involved in the
treatment of the patients. There is an unclear risk of bias if not details are reported
who was the outcome assessor. There is a high risk of bias if the outcome assessor
was involved in the treatment of the patients.
5. Incomplete outcome data (attrition bias)
Attrition bias due handling of incomplete outcome data
There is low risk of bias if all randomized patients were reported or analysed in the
group to which they were allocated by randomization and dropours were analysed by
baseline observation forward method (BOCF). There is an unclear risk of bias if all
randomized patients were reported or analysed in the group to which they were
allocated by randomization and dropouts were analysed by last observation
observation forward method (LOCF). There is a high risk of bias if there was no ITT-
analysis and only completers were reported.
6. Selective reporting (reporting bias)
Reporting bias due to selective outcome reporting
There is low risk of reporting bias if the study protocol is available and all of the
study’s pre-specified (primary and secondary) outcomes that are of interest in the
review have been reported in the pre-specified way, or if the study protocol is not
available but it is clear that the published reports include all expected outcomes,
43
including those that were pre-specified (convincing text of this nature may be
uncommon).
There is a high risk of reporting bias if not all of the study’s pre-specified primary
outcomes have been reported; one or more primary outcomes is reported using
measurements, analysis methods or subsets of the data (for example, subscales)
that were not pre-specified; one or more reported primary outcomes were not pre-
specified (unless clear justification for their reporting is provided, such as an
unexpected adverse effect); one or more outcomes of interest in the review are
reported incompletely so that they cannot be entered in a meta-analysis; the study
report fails to include results for a key outcome that would be expected to have been
reported for such a study.
7. Group similarity at baseline (selection bias)
Bias due to dissimilarity at baseline for the most important prognostic indicators.
There is low risk of bias if groups are similar at baseline for demographic factors,
value of main outcome measure(s), and important prognostic factors
8. Other bias (Funding bias)
We assumed a low risk of bias if the study was initiated by an investigator and the
study received no funding by a pharmaceutical company. We assumed a high risk of
bias if there was relationship of the authors with the pharmaceutical industry. We
extracted the following information about the relationship with the pharmaceutical
industry: author affiliation with industry, funding of study by industry, industry
providing the study drug or statistical analysis performed by an industry-affiliated
statistician. In case of affirmative response to any of these questions, we concluded
that there was a funding bias.
44
Table 3: Characteristics of included studies
Afilalo 2010
Methods Disease: Osteoarthritis pain
Study setting: 87 sites in US, 15 sites in Canada, 6 sites in new Zealand, 4 sites in Australia
Study design: Parallel design
Study duration: 3 weeks titration, 12 weeks maintenance
Participants Inclusion criteria: Age >= 40 years; diagnosis of osteoarthritis of the knee according to ACR criteria, functional capacity I-III, pain at the reference joints requiring the use of non-opioids or opioids at doses equivalent to <= 160 mg oral morphine/d for >=3 months prior to screening
Exclusion criteria: Presence of any clinically significant or unstable medical or psychiatric disease (e.g. history of substance abuse, chronic hepatitis B or C, HIV infection, uncontrolled hypertension, renal impairment (GFR < 60 ml/min), hepatic impairment (ALT or AST >= 3times the upper limit of normal)
Placebo: N=337; mean age 58.2 years; 59.3% female; 79.2% white. Severe pain 81.8 %
Tapentadol: N=344; mean age 58.4 years; 62.8% female; 75.6% white. Severe pain 81.8 %
Oxycodone: N=342;mean age 58.2 years; 59.1% female; 71.6% white. Severe pain 83.0%
Interventions Study medication: Tapentadol 200-500 mg/d (mean dosage approximately 350 mg/d); Oxycodon 40-100 mg/d (mean dosage approximately 70 mg/d), Placebo
Rescue medication: Paracetamol (up to 1000 mg/day for 3 consecutive days)
Allowed co-medication: Antidepressants for patients with controlled psychiatric or neurological diseases
Outcomes Pain: Pain intensity subscale of WOMAC at study
45
visit
Responder: 50% pain reduction NRS 0-10
PGIC: Much or very much improved
Function: Physical function subscale WOMAC *
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Reported
Notes * The authors report ITT-analysis; however, the number of patients reported indicate rather per protocol analysis
46
Afilalo 2013
Methods Disease: Osteoarthritis pain
Study setting: 101 sites in 13 European countries;
Study design: Parallel design
Study duration: 3 weeks titration, 12 weeks maintenance
Participants Inclusion criteria: Age >= 40 years; Patients diagnosed with osteoarthritis of the knee based on the American College of Rheumatology (ACR) criteria and functional capacity class of I- III;Patients taking analgesic medications for at least 3 months prior to screening and dissatisfied with their current therapy;Patients requiring opioid treatment must be taking daily doses of opioid- based analgesic, equivalent to <160 mg of oral morphine; Baseline score of >=5 on an 11-point numeric rating scale, calculated as the average pain intensity during the last 3 days prior to randomization
Exclusion criteria: History of alcohol and/or drug abuse in Investigator's judgment;Chronic hepatitis B or C, or HIV, presence of active hepatitis B or C within the past 3 months;Life-long history of seizure disorder or epilepsy;Uncontrolled hypertension;Patients with severely impaired renal function;Patients with moderate to severely impaired hepatic function or with laboratory values reflecting inadequate hepatic function; Treatment with neuroleptics, monoamine oxidase inhibitors, serotonin norepinephrine reuptake inhibitors (SNRI), tricyclic antidepressants, anticonvulsants, or anti-parkinsonian drugs, treatment with any other analgesic therapy than investigational medication or rescue medication during the trial
Total sample: N=987; mean age 62.1 years; 60.4% female; 99.3% white. Severe pain 81.8 %
Interventions Study medication: Tapentadol 200-500 mg/d (mean daily dosage not reported); Oxycodon 40-100 mg/d (mean daily dosage not reported); Placebo
47
Rescue medication: No information given
Allowed com-medication: No information given
Outcomes Pain: Average pain intensity NRS 0-10; only LSMD vs placebo reported; no significant difference to placebo; data not usable for meta-analysis.
Responder: 50% pain reduction NRS 0-10
PGIC much or very much improved
Function: SF-36 physical functioning; only LSMD vs placebo reported; no significant difference to placebo; data not usable for meta-analysis.
Withdrawal due to adverse events: Reported for tapentadol and oxycodone, but not for placebo
Serious adverse events: Not reported
Death: Not explicitly stated
Notes The study was not published as a full paper; some data were presented in a pooled analysis of tapentadol studies in chronic pain. The authors stated: "Because the difference between the active comparator oxycodone and placebo was not statistically significant for either primary endpoint, this study must be considered a failed trial; hence, the lack of a statistically significant difference between tapentadol ER and placebo in the primary endpoint is not interpretable."
48
Babul 2004
Methods Diasease: Osteoarthritis pain
Study setting: 16 sites in US
Study design: Parallel design
Study duration: 3-7 days wash-out, 12 weeks titration and maintenance
Participants Inclusion criteria: At least 18 years of age and have Functional Class I–III, primary OA of the knee meeting ACR diagnostic criteria, defined by knee pain and recent radiographic evidence of osteophytes, plus at least one of the following: age 50 years, morning stiffness 30 minutes in duration, and/or crepitus; have involvement of at least one knee joint that has warranted treatment with acetaminophen, COX-2 inhibitors, NSAIDs, tramadol, or opioid analgesics for at least 75 of 90 days prior to the study; and have a baseline visual analogue scale (VAS) pain intensity score of 40 mm in the index joint.
Exclusion criteria: uncontrolled concomitant disease or chronic condition(s) that might interfere with the assessment of pain and other symptoms of OA; other prior disease or joint replacement at the index joint; likelihood of requiring a surgical procedure of the index joint(s) during the study; inflammatory arthritis, gout, pseudogout,or Paget’s disease that might interfere with the assessment of response; diagnosis of chronic pain syndrome; ACR or a clinical diagnosis of fibromyalgia; inability to discontinue acetaminophen, COX-2 inhibitors, NSAIDs (other than aspirin <=325 mg QD for cardiovascular prophylaxis), corticosteroids, or other analgesics for the duration of the double-blind study; use of oral, intramuscular, intravenous, or soft tissue corticosteroids within 1 month prior to the study; use of intra-articular corticosteroids in the index knee joint within 2 months prior to the study; intra-articular viscosupplementation in the index knee joint during the past 6 months, or intra-articular viscosupplementation in a non-index knee in the past 3 months; weight <= 100 lbs; history of clinically significant intolerance to
49
tramadol or a known hypersensitivity to opioid analgesics; and increased risk in terms of the precautions, warnings, and contraindications noted in the tramadol prescribing information.
Tramadol: N=124; mean age 61.2 years; 66.1% female; 78.2% white. Pain baseline 78.2 (±10)
Placebo:N=122; mean age 61.5 years; 56.6% female; 86.1 % white. Pain baseline 75.5 (±16.5)
Interventions Study medication: Upward titration up to tramadol 400mg/d (the mean tramadol dose was 276 mg )
Rescue medication: NSAIDs or other analgesics were not permitted during the washout period or double-blind period, except for acetaminophen up to 2000 mg per day for reasons other than for chronic pain, if absolutely necessary, and for no more than 3 consecutive days.
Allowed co-therapies: Glucosamine and chondroitin were permitted provided the patient was on stable doses for a minimum of 2 months prior to randomization and agreed to continue on the same dose for the duration of the study. Patients receiving physical therapy or using assistive devices upon entering the study were encouraged to continue these interventions throughout the study.
Outcomes Pain: Average daily pain intensity during the past 24 h VAS 0-100
Responder: No 50% pain reduction rates reported
PGIC: Not assessed
Function: The WOMAC (Western Ontario and McMaster Universities) OA Index Physical Function Subscale
Withdrawal due to adverse events: Reported
Serious adverse events: Not explicitely reported
Death: Not explicitly stated
50
Breivik 2010
Methods Disease: Osteoarthritis pain
Study setting: 19 sites in Denmark, Finland, Norway, Sweden
Study design: Parallel design
Study duration: 24 weeks maintenance, follow-up after 4 weeks
Participants Inclusion criteria: Men and women over the age of 40 were included if they had a clinical diagnosis of osteoarthritis of the hip and/or knee, fulfilled the American College of Rheumatology (ACR) Criteria for osteoarthritis, had experienced pain from the relevant joint for at least one year prior to enrolment, had radiographic evidence of osteoarthritis of the hip and/or knee, as defined by Grades II to IV of the Kellgren and Lawrence scale, were taking NSAIDs or coxibs for their osteoarthritis pain for at least one month prior to the Screening Visit (visit 1), at a stable frequency and dose, and at least half the maximum allowed daily dose which gives an anti-inflammatory effect, they continued to experience at least moderate pain when walking on a flat surface, in spite of treatment with NSAIDs or coxibs, were willing to continue their treatment with NSAID or coxib, at a stable frequency and dose, until the end of the double-blind phase, those who had been using intermittently low-potent opioids (e.g. tramadol, low dose codeine) were willing to discontinue this regimen from the screening visit until the completion or discontinuation visit and take paracetamol tablets provided by the Sponsor as intermittent analgesic rescue, those who were receiving transcutaneous nerve stimulation (TENS) or biofeedback prior to study entry were willing to discontinue this therapy for the duration of the study.
Exclusion criteria: Patients were excluded if they had been treated with strong opioid analgesics (e.g. morphine, oxycodone, methadone, fentanyl-patch),were treated regularly with weak opioid analgesics such as tramadol, or codeine, for longer than three weeks prior to the screening visit; if any intermittent,
51
short-term, treatment with weak opioids could not be discontinued for the duration of the study; if they had a history of other chronic condition(s) for which they required frequent analgesic therapy (e.g., headaches, migraine, gout);were scheduled for any major surgery that would fall within the screening phase or the double-blind phase of the study; if transcutaneous nerve stimulation (TENS) or biofeedback prior to enrolment could not be discontinued for the duration of the study; if the investigator deemed that the patient had any contraindication to treatment with opioid medication, such as history of alcohol or substance abuse; if the patient had any other clinically significant disease or any reduced organ function; if the patient was using antidepressants, antiepileptic drugs, steroids, hypnotics (that may increase respiratory depression of buprenorphine); if the patient, or any close relatives, had long QT-syndrome, were on anti-arrhythmic medication (Class IA or Class III), or had any unstable or symptomatic cardiac abnormality.
Placebo: N=99; mean age 62.9 years; 64.7% female; 100% white. Pain baseline only reported in figure
Buprenorphine 5 or 10 or 20 ug/h: N=100; mean age 62.9 years; 72.0% female; 100% white. Pain baseline only reported in figure
Interventions Study medication: Titration to individually optimal dosage buprenorphine 5,10 or 20 ug/h; placebo
Rescue medication: Acetaminophen up to 4g/d
Allowed co-therapies: Stable dosage of NSAIDs
Outcomes Pain: Pain intensity NRS 0-10
Responder: No 50% pain reduction rates reported
PGIC: Much and very much improved
Function: WOMAC OA index of function
Withdrawal due to adverse events: Reported
52
Serious adverse events: Reported
Death: Not explicitly stated: no deaths reported in section "serious adverse events"
53
Caldwell 1999
Methods Disease: Osteoarthritis pain
Study setting: 9 sites in US
Study design: Enriched enrollment randomized withdrawal
Study duration: Open label titration for 30 days, 30 days double-blind withdrawal
Participants Inclusion criteria: Adult patients with moderate to severe average persistent daily pain > 1 month despite regular use of NSAIDS. The diagnosis of OA was based on 6 radiographic criteria.
Exclusion criteria: Ligitation related to pain or injury; intraarticular steroid injections within the last 6 weeks; active cancer; severe organic dysfunction; history of substance abuse
Oxycodone: N=34, mean age 57 years, race not reported. Pain baseline only reported in figure.
Placebo:N=36; mean age 58 years; 69% female, race not reported. Pain baseline only reported in figure.
Interventions Study medication: Oxycodone was adjusted (20 to 60 mg/d) in open label phase until pain intensity was less than moderate for several days in the absence of intolerable or unmanageable side effects (mean dosage 40 mg/d)
Rescue medication: No information provided.
Allowed co-therapies: NSAIDS were continued at prestudy dose, no other analgesics, stable steroid dose for at least 1 month.
Outcomes Pain: Mean global pain intensity at the end of double-blind phase compared to end of titration Pain Intensity NRS 0-10
Responder: No 50% pain reduction rates reported
PGIC: Not assessed
Function: Not assessed
54
Withdrawal due to adverse events: Reported
Serious adverse events: Not reported
Death: Not explicitly stated
Notes
55
Caldwell 2002
Methods Disease: Osteoarthritis pain
Study setting: 16 sites in US
Study design: Parallel design
Study duration: 7 days days wash out, 4 weeks maintenance
Participants Inclusion criteria: Patients had to be at least 40 years of age and have both a clinical diagnosis and grade II-IV radiographic evidence of OA of the hip and/or knee; have had prior suboptimal analgesic response to treatment with NSAIDs and acetaminophen or had previously received intermittent opioid analgesic therapy; and have a baseline visual analogue scale (VAS) pain intensity score of 40 mm in the index joint.
Exclusion criteria: Patients with serious concomitant disease, chronic condition(s) that might interfere with the assessment of pain and other symptoms of OA, prior disease at the index joint, surgery or the likelihood of requiring a surgical procedure of the index joint(s) during the trial; diseases other than OA not well managed with treatment; weight 100 lbs; oral, intramuscular, intravenous, intra-articular, or soft tissue administration of steroids within 1 month of study drug administration (two months, if at index knee or hip joint); intra-articular viscosupplementation (in the index joint) within six months of trial treatment; opioid therapy for longer than three weeks prior to baseline; any history of substance abuse within two years prior to screening; and history of clinically significant intolerance to opioids or any known hypersensitivity to morphine or other opioid analgesics.
Extended release morphine 30 mg/d once daily in the morning: N=73; mean age 62.6 years; 59% female; 86% white. Pain baseline 62.6 (±9.5)
Extended release morphine 30 mg/d once daily in the evening: N=73; mean age
56
63.1years; 58% female; 82% white. Pain baseline 63.1 (±11.1)
Non-extended morphine 2x15 mg/d: N=76; mean age 61.9 years; 63% female; 90% white. Pain baseline 61.9 (±10.4)
Placebo:N=73; mean age 61.9 years; 70% female; 80 % white. Pain baseline 61.9 (±10.7)
Interventions Study medication: Extended release morphine 30 mg/d once daily in the morning (mean dosage not reported), extended release morphine 30 mg/d once daily in the evening (mean dosage not reported); Non-extended morphine 2x15 mg/d (mean dosage not reported); placebo twice/d
Rescue medication: Cardiovascular prophylactic doses of aspirin (up to 325 mg/day) and acetaminophen for non-OA symptomatology (up to 2000 mg/day for a maximum of 3 consecutive days) was prohibited in the double-blind trial. Acetaminophen had to be stopped 24 hours prior to efficacy assessments.
Allowed co-therapies: No information provided.
Outcomes Pain: Overall Arthritis Pain Intensity VAS 0-10
Responder: No 50% pain reduction rates reported
PGIC: Not assessed
Function: WOMAC Funcional Impairment subscale
Withdrawal due to adverse events: Reported
Serious adverse events: Incompletely reported *
Death: Not explicitly stated
Notes * Details reported not sufficient to perform meta-analysis: "Six patients experienced a serious AE but only one (hospitalized for constipation) was thought to be possibly related to study drug (Avinza QPM); this patient withdrew from the trial due to this event.
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DeLemos 2011
Methods Diasease: Osteoarthritis pain
Study setting: 70 sites in US
Study design: Parallel
Study duration: (1) 2-7 days wash-out, (2) 12 weeks maintenance, (3) 1 week follow-up
Participants Inclusion criteria: Aged 18-74 years with symptomatic (painful) OA of the kneehip and/or hipknee, radiographically confirmed ACR functional class I-III. Taken acetaminophen, NSAIDs, CO-2 inhibitor or an opioid at least 75 of 90 previous days to treat OA pain; moderate or severe OA pain that warranted treatment with COX-2-inhibitors, NSAIDs, acetaminophen, or opioid analgesics fort at least 75 of 90 days preceding the screening visit; baseline joint index pain of >= 40 on a 100 mm pain scale after wash-out. In addition, patients were required to be able to discontinue acetaminophen, NSAIDs, COX-2 inhibitors, opioids, and other analgesics during the study.
Exclusion criteria: Any medical condition other than OA which was not well controlled; inflammatroy arthritis, gout, pseudo-gout, or Paget disease; a chronic pain syndrome or fibromyalgia; prior joint replacement surgery at the index joint; history of substance abuse in the previous 6 months; use of antidepressants, anticonvulsants or other analgesics except acetaminophen.
Tramadol 100 mg/d: N=201; mean age 58.459.5 years; 62.458.2% female; 72.381.6% white. Pain baseline 298.4 (± 101.3)
Tramadol 200 mg/d: N=201; mean age 62.0 (± 9.9) years; 62.3% female; 78.4% white. Pain baseline 302.9 (± 96.1)
Tramadol 300 mg/d: N=201; mean age 59.7 years; 61.8% female; 80.9% white. Pain baseline 306.9 (± 107.3)
Placebo: N=200; mean age 58.9 years; 68.5% female; 82.5% white. Pain baseline 300.8 (±
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103.5)
Interventions Study medication: Fixed dosage of 100, 200 or 300 mg tramadol/d; fixed dosage of placebo
Rescue medication: acetaminophen up to 2g/day for no more than 3 consecutive days for reasons other than OA or chronic pain. Use of acetaminophen was prohibited 48 h before each study visit.
Allowed co-therapies: No information provided
Outcomes Pain: WOMAC Pain Subscale
Responder: No 50% pain reduction rates reported
PGIC: Not assessed
Function: WOMAC OA physical function score 0-1700
Withdrawal due to adverse events: Reported
Serious adverse events: Reported *
Death: Reported
Notes * Only treatment related SAE reported: Data not used for analysis
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Fishmann 2007
Methods Diasease: Osteoarthritis pain
Study setting: 74 sites in US
Study design: Parallel
Study duration: 6 days titration, 12 weeks maintenance
Participants Inclusion criteria: 40-75 years, diagnosis of OA according to ACR criteria; WOMAC OA Index pain score >= 150 mm;
Exclusion criteria: Arthritic conditions other than OA; history of seizures; evidence of effusion > 15 cc on physical examination; BMI >=38; major illnesses requiring hospitalization within 3 months before screening; unwillingness to discontinue pain medication or other medication taken for OA; previous or current substance abuse or dependence other than nicotine; significant bowel, renal or liver disease
Placebo: N=224; mean age 61 years; 61,6% female; race not reported. Pain baseline 30.1 (±8.9)
Tramadol 100 mg/d: N=103; mean age 63 years; 60.2% female; race not reported. Pain baseline 28.7 (±7.9)
Tramadol 200 mg/d: N=107; mean age 61 years; 59.8% female; race not reported. Pain baseline 28.4 (±8.2)
Tramadol 300 mg/d: N=105; mean age 60 years; 65.7% female; race not reported. Pain baseline 31.4 (±8.7)
Interventions Study medication: Tramadol fixed 100 mg/d or 200 mg/d or 300 mg/d
Rescue medication: Rescue medication of pain due to OA was not permitted.
Allowed co-therapies: No information provided
Outcomes Pain: Relative percentage of pain improvement in WOMAC pain score from baseline
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Responder: No 50% pain reduction rates reported
PGIC: Not reported
Function: WOMAC OA physical functioning score; no detailed outcomes reported *
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Not explicitly stated
Notes * The mean improvement in the WOMAC physical function score from baseline to end of the study was 46% for 300 mg/d (p=0.02 vs. placebo), 45% for 200 mg/d (p=0.045 vs. placebo) and 48% with 100 mg/d (p=0.03 vs. placebo) and 27% in placebo
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Fleischmann 2000
Methods Diasease: Osteoarthritis pain
Study setting: 12 sites in US
Study design: Parallel
Study duration: 10 days screening and wash-out,1 week titration and 11 weeks maintenance
Participants Inclusion criteria: aged 35 to 75 years with symptomatic (painful) OA of the knee for >=1 year were eligible for inclusion if they had used NSAlDs for >=3 months before study entry and were otherwise in good health. The diagnosis of OA was confirmed by demonstration of osteophytes on knee radiographs taken within a year before enrollment. Patients were required to have at least moderate pain (pain intensity r2 on a scale of 0 to 4, with 0 being the least and 4 being the greatest pain intensity) in the target knee when their current analgesic was discontinued.
Exclusion criteria: any other form of arthritis; major trauma, infection, or apparent avascular necrosis of the target knee within 6 months before study entry; or anatomical deformities of the knee that could interfere with assessment. In addition, patients were excluded if they underwent arthroscopic procedures within 6 months or surgical procedures on the target knee within a year before the study, or had knee replacements or were candidates for knee replacement within 1 year before the study. Patients who received intra-articular injections of corticosteroids in the knee within 1 month, hyaluronic acid injections in the knee or systemic corticosteroids within 3 months, or glucosamine within 10 days before the study were excluded. Also excluded were patients who, in the opinion of the investigator, should not have been enrolled in the study based on the precautions, warnings, or contraindications outlined in the tramadol package insert.
Placebo: N=66; mean age 62.5 years; 59.1% female; 86.4% white. Pain baseline 2.85 (± 0.63)
Tramadol: N=63; mean age 62.5 years; 65.1%
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female; 95.2% white. Pain baseline 2.71 (± 0.63)
Interventions Study medication: Titration to individually optimal between 200 and 400 mg/d (mean dosage not reported)
Rescue medication: None allowed
Allowed co-therapies: Patients were instructed to maintain a constant level of activity throughout the study. Physiotherapy (ie, hot/cold packs and massages) initiated before the double-blind phase was continued throughout the study, although it could not be initiated during the double blind phase. Patients were not to use other adjunctive therapy (eg, topical therapy, acupuncture) during the study
Outcomes Pain: Pain intensity previous 24 hours NRS 0-4
Responder: No 50% pain reduction rates reported
PGIC: Not reported
Function: WOMAC OA function score
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Not explicitly stated
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Friedmann 2011
Methods Diasease: Osteoarthritis pain
Study setting: 62 sites in US
Study design: Enriched enrollment randomized withdrawal design
Study duration: 4-10 days wash-out all medications (if >= 20mg Oxycodon or 200 mg Tramadol an opioid taper was required before), 2 weeks open label, 12 weeks double-blind withdrawal with option of dose escalation in the first 4 weeks
Participants Inclusion criteria: Male or female non-preganent women 40-75 years, moderate to severe pain due to OA for >=3 months owing to OA in the hip and or knee as demonstrated by clinical and radiological eveindence by the ACR-criteria; taking one or more of the following medications: NSAIds, COX2-inhibitors, opioids (>= 4 days/week for >= 4 weeks),NRS >= 5 after washout period ;
Exclusion criteria: Daily opioid dosage >=80 mg oxycodone equivalent for >=4 days/week during the week before initial screening; intararticular injections in the previous month; positive urine screening for opiates, amphetamines, cocaine, cannabinoids or methadone at baseline visit
Placebo: N=207; mean age 58.5 years; 68% female; 83% white. Pain baseline 7.6 (±1.36)
Oxycodone: N=205; mean age 58.0 years; 72% female; 82% white.Pain baseline 7.8 (±1.35)
Interventions Study medication: Titration to individually optimal up to 80 mg/d oxycodone (mean dosage 45 mg/d)
Rescue medication: Acetaminophen up to 3g/d
Allowed co-therapies: Stable dose of antidepressants, pregabalin, gabapentin, chondroitin
Outcomes Pain: Change in average pain intensity NRS 0-10 recorded via touch-phone
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Responder: No 50% pain reduction rates reported
PGIC: Not reported
Function: WOMAC OA Index; no detailed outcomes reported *
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Reported
Notes * The mean change in the WOMAC subscales from prerandomisation to end of the study was only statistically significant for the pain subscale.
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Gana 2006
Methods Diasease: Osteoarthritis pain
Study setting: 46 sites in US
Study design: Parallel
Study duration: 2-7 days wash-out, 12 weeks maintenance, 1 week follow-up
Participants Inclusion criteria: aged 18-74 years with symptomatic (painful) OA of the knee or hip radiographically confirmed ACR functional class I-III. Taken acetaminophen, NSAIDs, CO-2 inhibitor or an opioid at least 75 of 90 previous days to treat OA pain; baseline joint index pain of >= 40 on a 100 mm pain scale after wash-out
Exclusion criteria: Any medical condition other than OA which that was not well controlled; any other form of arthritis or joint dsease at the index joint; a chronic pain syndrome or fibromyalgia; any contraindication for the use of tramadol; history of substance abuse in the previous 6 months; any condition that was likely to influence the absorption, efficacy, or safety of tramadol ER. Subjects were not permitted to take another investigational medication, a corticosteroid, a medication that could interact with tramadol (e.g., carbamazepine), or another medication for pain (e.g., analgesics, antidepressants) during the study use of antidepressants, anticonvulsants or other analgesics except acetaminophen
Placebo: N=205; mean age 56.4 (±9.8) years; 68.8% female; 81.5% white. Pain baseline 305.9 (± 95.2)
Tramadol ER 100 mg/d: N=202; mean age 58.4 (±10.9) years; 62.4% female; 72.3% white. Pain baseline 308.2 (±99.3)
Tramadol ER 200 mg/d: N=201; mean age 59.1 (±9.9) years; 63.7% female; 76.1% white. Pain baseline 315.2 (±92.4)
Tramadol ER 300 mg/d: N=201; mean age 58.5 (±9.4) years; 59.2% female; 81.6% white. Pain baseline 296.6 (±96.3)
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Tramadol ER 400 mg/d: N=202; mean age 58.4 (±9.7) years; 57.9% female; 79.7% white. Pain baseline 298.0 (±93.7)
Interventions Study medication: Fixed dosage of 100, 200, 300 or 400 mg tramadol/d, placebo
Rescue medication: acetaminophen up to 2g/day for no more than 3 consecutive days for reasons other than OA or chronic pain. Use of acetaminophen was prohibited 48 h before each study visit.
Allowed co-therapies: Subjects were not permitted to take another investigational medication, a corticosteroid, a medication that could interact with tramadol (e.g., carbamazepine), or another medication for pain (e.g., analgesics, antidepressants) during the study except acetaminoph
Outcomes Pain: WOMAC Osteoarthritis Pain Index 0-500
Responder: No 50% pain reduction rates reported
PGIC: Not assessed
Function: WOMAC OA function score 0-1700
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Not explicitly stated
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Katz 2010
Methods Diasease: Osteoarthritis pain
Study setting: Number of US sites not reported
Study design: Enriched-enrollment randomized withdrawal
Study duration: 7-14 days wash-out, <= 45 days titration, 12 weeks maintenance
Participants Inclusion criteria: Male and female subjects aged ≥21 years, OA (as defined by the American College of Rheumatology) of the hip or knee. Moderate-to-severe OA pain was defined as an average 24-hour pain intensity score of ≥5 on a scale of 0–10 at baseline visit following cessation of previous medication .Subjects must have suffered from chronic OA pain in the target joint for more than 3 months, and their pain must not have been adequately controlled with either nonopioid analgesics, tramadol or another opioid at a dose equivalent of <= 40 mg/d morphine for 3 months before beginning the study.
Exclusion criteria: History of drug or alcohol abuse within the last 5 years; positive urine toxicology test for illicit drugs or non prescribed controlled substances at screening; established history or uncontrolled major depressive disorder; any other chronic condition that would interfere with or confound the study results; history of rheumatoid or inflammatory rheumatoid arthritis
Morphine/Naloxone: N=171; mean age 54.2 years; 62% female; 74.9% white. Pain baseline 3.3 (± 1.3)
Placebo:N=73; mean age 54.7 years; 54.9% female; 69.9 % white, Pain baseline 3.2 (± 1.1)
Interventions Study medication: Dose titration of morphine, starting with 20 mg/d, increments up to 160 mg/d. Responders were defined by BPI score <=4 over the last 4 days before clinic visit and decline by >02 points from baseline
Rescue medication: Acetaminophen <= 3g/d.
Allowed co-therapies: No information provided.
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Outcomes Pain: Average pain intensity NRS 0-10 of Brief Pain Inventory electronic diary
Responder: 50% pain reduction from the titration baseline visit
PGIC: Not assessed
Function: WOMAC Funcional Impairment subscale
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Not explicitly stated
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Langford 2006
Methods Diasease: Osteoarthritis pain
Study setting: Several European countries
Study design: Parallel design
Study duration: 6 weeks maintenance
Participants Inclusion criteria: Patients (at least 40 years of age) meeting the American College of Rheumatology diagnostic criteria for hip or knee OA and requiring joint replacement surgery, with radiographic evidence of disease in the affected joint(s);moderate or severe pain that was not adequately controlled with weak opioids, with or without paracetamol
Exclusion criteria: Patients who received any strong opioid in the 4 weeks before the study or had recently started a new therapy (e.g., physiotherapy or acupuncture) for their pain. Those patients deemed unsuitable for treatment with a strong opioid (e.g., because of suspected alcohol or drug abuse, or because they were considered at risk for respiratory depression)
Placebo: N=197; mean age 66 years; 68% female; race not reported. Pain baseline 73.3 (no SD reported)
Fentanyl: N=202; mean age 66 years; 65% female; race not reported. Pain baseline 73.1 (no SD reported)
Interventions Study medication: Stable dosage of steroids or NSAIDS plus titration to individually optimal dosage of fentanyl 25,50,75 or 100 ug/h (no average dosage reported); Stable dosage of steroids or NSAIDS plus placebo
Rescue medication: None
Allowed co-therapies: Paracetamol up to 4g/d allowed
Outcomes Pain: Average pain intensity score NRS 0-100
Responder: No 50% pain reduction rates reported
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PGIC: Not assessed
Function: WOMAC physical functioning
Withdrawal due to adverse events: Not reported
Serious adverse events: Reported
Death: Reported
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Markenson 2005
Methods Diasease: Osteoarthritis pain independent of location (~40% Back pain)
Study setting: 9 sites in US
Study design: Parallel design
Study duration: 12 weeks titration and maintenance
Participants Inclusion criteria: OA, as defined by the American College of Rheumatology guidelines. Patients selected were experiencing moderate to severe pain in the most affected joint or region, as characterized by: 1) complaints of pain for at least 1 month before day 0 (baseline) or after the patient had discontinued their as necessary opioid; and 2) pain during the week before day 0 that was moderate to severe, defined as an average score of 5 or greater (3 or greater if receiving as necessary opioids) on a scale from 0 (no pain) to 10 (pain as bad as you can imagine). Eligible patients: 1) had been taking NSAIDs or APAP at a therapeutic and/or tolerated (but not as necessary) dose for at least 2 weeks before day 0; 2) were not taking NSAIDs because they were NSAIDintolerant or at high risk for toxicity or complications; or 3) were receiving as necessary oral opioid therapy that was equivalent to 60 mg of oxycodone per day (with or without NSAIDs or APAP for analgesia).
Exclusion criteria: allergic to opioids, were scheduled to have surgery during the study period, had unstable coexisting disease or active dysfunction, had active cancer, were pregnant or nursing, had a past or present history of substance abuse, were involved in litigation related to their pain, or had received intra-articular or intramuscular steroid injections involving the joint or site under evaluation within 6 weeks prior to baseline.
Oxycodone: N=56; mean age 62 years; 68% female; 93% white. Pain baseline 6.9 (± 1.5)
Placebo:N=51; mean age 64 years; 78% female;
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94 % white. Pain baseline 6.3 (± 1.4)
Interventions Study medication: Upward titration up to 120 mg oxycodone/d (average dosage (44 ± 5 mg)
Rescue medication: No information provided
Allowed co-therapies: Patients were permitted to continue their stable NSAID (or APAP) regimen during the study; the dose could be decreased but could not be increased
Outcomes Pain: Average daily pain intensity during the past 24 h NRS 0-10 BPI
Responder: Not assessed
PGIC: Not assessed
Function: WOMAC physical functioning score
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Not explicitly stated
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Matsumoto 2005
Methods Diasease: Osteoarthritis pain
Study setting: Number of US sites not reported
Study design: Parallel
Study duration: 2-7 days wash-out, 4 weeks maintenance
Participants Inclusion criteria: presence of typical knee or hip joint symptoms and signs and radiographic evidence of OA, with a minimum of grade 2 in the index joint using the Kellgren–Lawrence scale. Patients must have taken either acetaminophen, a conventional NSAID, a COX-2 inhibitor, or an opioid analgesic for at least 75 of 90 days before the screening visit and must have had a suboptimal response to these agents. Other inclusion criteria included age >40 years, use of a medically acceptable form of contraception or abstinence in women of childbearing test 7 days before first dose of study medication. Eligible patients entered a 2- to 7-day washout period during which all analgesic medications were discontinued. Patients were randomized when pain in the index joint reached 40
Exclusion criteria: inflammatory arthritis, gout, Paget’s disease, chronic pain syndrome, or fibromyalgia were excluded. Patients requiring knee or hip arthroplasty within 2 months of screening or anticipating any need for surgical procedures on the index joint during the study were also excluded. Other exclusion criteria included weight <100 pounds, difficulty swallowing capsules or tablets, prior history of substance or alcohol abuse, corticosteroid or investigational drug use within 1 month of first study treatment, and prior history of intolerance to opioids.
Oxymorphone 80 mg/d : N=121; mean age 61.4 years; 64.5% female; 87.6% white. Pain baseline not reported *
Oxymorphone 40 mg/d : N=119; mean age 63.4 years; 55.5% female; 81.5% white. Pain baseline
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not reported *
Oxycodone 40 mg/d : N=125; mean age 62.7 years; 57.6% female; 89.6% white. Pain baseline not reported *
Placebo:N=124; mean age 61.7 years; 65.3% female; 86.3 % white, Pain baseline not reported *
Interventions Study medication: To improve tolerability, patients randomized to the oxymorphone ER 40 mg treatment group received oxymorphone ER 20 mg every 12 hours during weeks 1 and 2 and oxymorphone ER 40 mg every 12 hours during weeks 3 and 4. Similarly, patients randomized to oxycodone CR 20 mg received oxycodone CR 10 mg every 12 hours during weeks 1 and 2 and oxycodone CR 20 mg every 12 hours during weeks 3 and 4.
Rescue medication: No information provided.
Allowed co-therapies: No information provided.
Outcomes Pain: WOMAC Pain score VAS 0-500 **
Responder: Not assessed
PGIC: Not assessed
Function: WOMAC Funcional Impairment subscale * and SF-36 physical component score ***
Withdrawal due to adverse events: Reported
Serious adverse events: Incompletely Reported ****
Death: Not explicitly stated
Notes * "The mean baseline scores for the VAS were similar across all treatment groups"
** Data extracted from figures
*** Data of WOMAC only reported in figures; data of SF-36 reported by numbers and therefore chosen for meta-analysis
**** "Five patients had serious AEs that were not considered to be related to study medication."
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Munera 2010
Methods Diasease: Osteoarthritis pain
Study setting: 22 sites in US
Study design: Parallel design
Study duration: 3 weeks titration, 1 week maintenance
Participants Inclusion criteria: Age >= 18 years; documented history and/or radiologic evidence of chronic osteoarthritis of the hip or knee; receiving opioid therapy for osteoarthritis-related pain within the past year or have experienced pain that was inadequately controlled with a full standard dose of NSAIDs; average pain intensity >=7
Exclusion criteria: receiving opioids at an average daily dose of greater than 90 mg of oral morphine equivalents or patients receiving more than 12 tablets or capsules per day of short-acting opioid-containing products;scheduled to have surgery (including dental) during the study period that involved the use of pre- and/or postoperative analgesics or anesthetics.
Placebo: N=163; mean age 62 years; 67% female; 87% white. Pain baseline not reported
Buprenorphine 5,10 or 20 ug/h: N=152; mean age 60 years; 67% female; 87% white. Pain baseline not reported
Interventions Study medication: Titration to individually optimal dosage buprenorphine 5,10 or 20 ug/h (no average dosage reported); placebo
Rescue medication: None
Allowed co-therapies: Aspirin as antithrombotic >=325 mg/d allowed
Outcomes Pain: Average pain intensity score NRS 0-10;
Responder: No 50% pain reduction rates reported
PGIC: Not assessed
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Function: Not assessed
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Reported
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Peloso 2000
Methods Diasease: Osteoarthritis pain
Study setting: 4 sites in Canada
Study design: Parallel design
Study duration: 4 weeks maintenance
Participants Inclusion criteria: Age >= 35 years; primary osteoarthritis garde II defined by standard atlas of radiographs of the knee or hip with symptoms (pain, stiffness, disability requiring the use of acetaminophen, NSAIDS or opioid analgesics for the previous 3 months or longer.
Exclusion criteria: Allergy against analgesics,history of previous opioid abuse; secondary osteoarthritis; grade IV osteoarthritis awaiting surgery
Placebo: N=52; mean age 63.0 years; 65.7 % female; Race not reported, Pain baseline 53.2 (±24.5)
Codeine: N=51; mean age 60.1 years; 58.1% female; Race not reported. Pain baseline 58.2 (±18.9)
Interventions Study medication: Titration to individually optimal dosage of codeine 100-400 mg/d (mean daily dosage 159 ± 52 mg/d); placebo
Rescue medication: Acetaminophen
Allowed co-therapies: No information provided
Outcomes Pain: Average pain intensity 24 h score VAS 0-100;
Responder: Not assessed
PGIC: Not assessed
Function: WOMAC physical function (VAS 0-1700)
Withdrawal due to adverse events: Reported
Serious adverse events: Not reported
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Death: Reported
Notes
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Rauck 2013
Methods Diasease: Osteoarthritis pain
Study setting: Number of study sites in US not reported
Study design: Parallel design
Study duration: <= 16 days titration, 12 weeks maintenance, <=1 week taper
Participants Inclusion criteria: Male or female patients aged >= 21 years with OA of the hip or knee, reporting a target joint pain score of ‡ 5 on the NRS, who were unable to consistently control or treat their pain with nonopioid medications or who had received an opioid for pain treatment. Eligible patients were considered to be in good general health at the time of screening. based on results from medical history, physical examination, laboratory profile, and 12-lead electrocardiogram. Patients were required to have a primary diagnosis of Functional Class I–III OA of the knee or hip. In the case of OA of the knee, primary OA was characterized by knee pain, radiographic severity Grade II–IV, radiographic evidence (< 12 months) of target joint osteophytes, and at least one of the following symptoms: > 50 years of age, morning stiffness < 30 minutes in duration, or crepitus. In the case of OA of the hip, primary OA was characterized by articular hip pain, radiographic severity Grade II–IV, radiographic evidence (< 12 months) of target joint osteophytes, and target joint space narrowing.
Exclusion criteria: Patients with clinically significant intolerance to hydromorphone or other opioids were excluded from the study. In addition, those who had severe asthma; were pregnant or breastfeeding; were being treated with monoamine oxidase inhibitors; or had a history of drug or analgesic abuse, dependence, or misuse, or alcohol abuse within the last 5 years were not eligible. Patients were also excluded if they had a
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chronic pain syndrome that could interfere with the study’s assessment of pain or other symptoms of OA (eg, fibromyalgia), a documented history of uncontrolled inflammatory arthritis (eg, rheumatoid arthritis), inflammatory arthritis dependent on nonsteroidal anti-inflammatory drugs (NSAIDs), significant clinical abnormalities in laboratory analyses, including hematology and urinanalysis, or other conditions that might interfere with dose administration. This study also excluded patients who were unable to wash out other opioids before the start of the study or who participated in a previous controlled-release hydromorphone HCl study
Hydromorphone 8 mg: N=319; mean age 59.7 years; 64.6% female; 88.3% white. Pain baseline 7.2 (±1.5)
Hydromorphone 16 mg: N=330; mean age 59.5 years; 64.2% female; 86.1% white. Pain baseline 7.5 (±1.4)
Placebo:N=332; mean age 60 years; 63% female; 88.3 % white. Pain baseline 7.4 (±1.4)
Interventions Study medication: Hydromorphone 8 mg, Hydromorphone 16 mg, Placebo
Rescue medication: Acetaminophen (< 2,000 mg daily) was permitted as supplemental analgesia during the titration, maintenance, and taper phases.
Allowed co-therapies: No information provided.
Outcomes Pain: Mean change from average pain intensity baseline NRS 0-10
Responder: No 50% pain reduction rates reported
PGIC: Not assessed
Function: WOMAC Funcional Impairment subscale
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Not explicitly stated
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Notes This study did not meet the primary endpoint of improvement in pain intensity as analyzed with the primary imputation method, BOCF.
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Thorne 2008
Methods Diasease: Osteoarthritis pain
Study setting: 6 sites in Canada
Study design: Cross over
Study duration: (1) Analgesic wash-out for 2-7 days; Up to 1 week wash-out, (2) 4 weeks each periodAfter four weeks, patients crossed over to the alternate treatment for another four weeks.
Participants Inclusion criteria: Men and nonpregnant, non-nursing women over the age of 18 years, diagnosed with OA and requiring the use of acetaminophen,anti-inflammatory agents or combination opioid and nonopioid analgesics for at least three months were eligible for the present study. OA was defined by the presence of hip and/or knee symptoms (pain, stiffness, disability) and signs (bony crepitus), as well as radiographic evidence of OA in the medial and/or lateral tibiofemoral compartment (with or without patellofemoral OA), or in the hip. Radiographic evidence was defined by the presence of at least one of the following: osteophytes, joint space narrowing, periarticular sclerosis or subchondral cysts, with a minimum grade 2 severity, as illustrated in the Atlas of Standard Radiographs of Arthritis . Ptients with more advanced grades were eligible if they were not awaiting surgery. Patients using only acetaminophen at the time of enrollment were required to have pain of at least moderate intensity (a 2 or greater on a 0 to 4 ordinal pain scale) at both visits 1 and 2. Patients treated with any other opioid or nonopioid analgesic were required to have at least moderate pain (a 2 or greater on a 0 to 4 ordinal pain scale) after a two to seven day washout period at visit 2.
Exclusion criteria: intolerance to any opioid, tramadol or acetaminophen; Patients who required more than eight tablets per day of acetaminophen plus codeine, or its analgesic equivalent, or with a history of drug or alcohol abuse were also excluded. The following medical conditions were exclusionary: any other form of joint disease or previous replacement of the study joint, renal or
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hepatic impairment (alanine aminotransferase or aspartate aminotransferase more than two times the upper limit of the normal range), shortened gastrointestinal transit time, peptic ulcer disease, inflammatory disease of the gastrointestinal tract, cardiac or respiratory conditions that put the patient at risk for respiratory depression, a history of seizures or a recognized risk for seizure, and any other condition that would adversely affect the patient’s safety or obscure the assessment of efficacy. Patients receiving monoamine oxidase inhibitors, carbamazepine, quinidine, selective serotonin reuptake inhibitors or tricyclic antidepressants, cyclobenzaprine, promethazine, neuroleptics, warfarin or digoxin were excluded. Patients who received an investigational drug within the last month were also ineligible.
Total sample: N=100; mean age 61 years; 55% female; race not reported. Pain baseline 50.8 (±17.9)
Interventions Study medication: Tramadol flexible 100-400 mg/d placebo (average dosage 340 mg/d)
Rescue medication: Acetaminophen up to 2.6 g/d
Allowed co-therapies: No information provided.
Outcomes Pain: Average pain intensity last 24 hours VAS 0-100
Responder: No 50% pain reduction rates reported
PGIC: Not assessed
Function: WOMAC physical function subscale
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Not explicitly stated
Notes ""An analysis of carry-over effect found no significance"
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Vojtassak 2011
Methods Diasease: Osteoarthritis pain
Study setting: 18 sites in four European countries (Czech republic, Romania, Slovakia, UK)
Study design: Parallel design
Study duration: 4 weeks titration, 12 weeks maintenance
Participants Inclusion criteria: Male and female subjects aged ≥40 years, with moderate-to-severe pain induced byOA (as defined by the American College of Rheumatology) of the hip or knee. Moderate-to-severe OA pain was defined as a mean weekly score of ≥5 on a scale of 0–10 for “pain on average” on the BPI scale, which was calculated as a mean of the pain assessments collected at screening visit (week −1), telephone call (week –0.5), and baseline visit (week 0).Subjects must have suffered from chronic OA pain in the target joint for more than 3 months, and their pain must not have been adequately controlled with daily analgesic (NSAIDs or paracetamol) treatment for the month before beginning the study.
Exclusion criteria: regular treatment with an opioid in the 4 weeks before the screening visit—infrequent use of tramadol, codeine, tilidine, or dihydrocodeine for no more than 10 days in the 4 weeks before the screening visit was acceptable, but subjects were to stop any use of weak opioids at the screening visit, another type of continuous pain that stood out in comparison with OA pain such as fibromyalgia, cervical radiculopathy, or chronic low back pain, any of the following 6 months before entering study: major trauma to target joints, infection in target joints, radiologically apparent avascular necrosis in target joints, hyaluronan injections in the target joints, arthrodesis in the year or arthroscopy in the 2 months before entering study, planned treatment that could have altered the degree of pain within the study period, subjects who were being treated with buprenorphine,
86
nalbuphine, or pentazocine; corticosteroid injections in the 3 months before the start of the study.
Hydromorphone: N=139; mean age 65 years; 77% female; 100% white. Pain baseline 6.6 (±1.04)
Placebo:N=149; mean age 66 years; 68% female; 100 % white. Pain baseline 6.5 (±0.94)
Interventions Study medication: Hydromorphone. Treatment comprised a 4-week titration phase and a 12-week maintenance phase. In the event of unsatisfactory pain control, subjects had their dose titrated 3-4 days after randomisation until week 4 of the study with intervals of at least 3-4 days between dose increments. Possible doses were 4mg, 8mg, 12 mg, 16mg, 24 mg, and a maximum daily dose of 32 mg. There followed a 12-week maintenance phase on as stable a dose as possible. If a dose of 32mg did not provide sufficient analgesia, subjects were withdrawn owing to lack of efficacy and had their dose tapered off by reducing their dose in specified increments every 2 days..
Rescue medication: No information provided.
Allowed co-therapies: No information provided.
Outcomes Pain: Average pain intensity NRS 0-10 of Brief Pain Inventory
Responder: No 50% pain reduction rates reported
PGIC: Not assessed
Function: WOMAC Funcional Impairment subscale
Withdrawal due to adverse events: Reported
Serious adverse events: Reported
Death: Not explicitly stated
87
Table 4: Risk of bias assessment of RCTs with opioids in chronic osteoarthritis pain
inlcuded into the review
Afilalo 2010
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk Computer-generated randomization list
Allocation concealment (selection bias)
Low risk Randomization was implemented by interactive voice response system
Blinding of participants and personnel (performance bias)
Unclear risk We had insufficient information to permit judgement.
Blinding of outcome assessment (detection bias)
Unclear risk No details provided. Outcomes assessors could be bias based on the side effects profile of tapentadol.
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis according to LOCF
Selective reporting (reporting bias) Low risk NCT00421928; All outcomes as reported in the protocol were published
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the three groups
Funding bias High risk Funding by pharmaceutical industry; 8 of 9 authors affiliated with industry
88
Afilalo 2013
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Unclear risk "Study medication assigned to patients by chance"
Allocation concealment (selection bias)
Unclear risk "Study medication assigned to patients by chance"
Blinding of participants and personnel (performance bias)
Unclear risk "Neither patient nor investigator knows which patient gets which study medication"
Blinding of outcome assessment (detection bias)
Unclear risk We had insufficient information to permit judgement.Outcomes assessors could be biased by the side effects profile of tapentadol.
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis according to LOCF
Selective reporting (reporting bias) High risk NCT00486811; drop out rates due to serious adverse events for placebo group not reported; serious adverse events not reported
Selection bias Unclear risk Demographic and clinical data of study samples were not reported separately
Funding bias High risk The two authors were clinical investigators of the study. Study sponsored by pharmaceutical company.
89
Babul 2004
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk "A list of randomization numbers based on a computer-generated randomization schedule was prepared"
Allocation concealment (selection bias)
Unclear risk We had insufficient information to permit judgement.
Blinding of participants and personnel (performance bias)
Low risk "identical appearing placebo"
Blinding of outcome assessment (detection bias)
Unclear risk We had insufficient information to permit judgement.Outcome assessors could be biased by the side effects of tramadol
Incomplete outcome data (attrition bias)
Unclear risk ITT, method not reported
Selective reporting (reporting bias) High risk No protocol reported by the authors; SAE not reported
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the three groups
Funding bias High risk No information on study sponsoring provided. The study was managed by SCIREX Corporation,Horsham, PA, a commercial scientific research service;
90
Breivik 2010
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk "Validated computer system with randomised numbers"
Allocation concealment (selection bias)
Low risk "All patients, investigators, and study centre and Sponsor personnel were blinded to the medication codes."
Blinding of participants and personnel (performance bias)
Low risk " They were identical in appearance, packed in a labelled foil pouch, containing coded treatment group identification"
Blinding of outcome assessment (detection bias)
Unclear risk No details provided. Outcomes assessors could be biased on the side effects profile of buprenorphine.
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis, method not reported
Selective reporting (reporting bias) Unclear risk No protocol reported by the authors
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the groups
Funding bias High risk One of six authors (senior author) affiliated with pharmaceutical company
91
Caldwell 1999
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk "Centralized randomization code provided by the sponsor"
Allocation concealment (selection bias)
Low risk "Blocks of study medication blister packs were assigned to study centers in sequential ascending order"
Blinding of participants and personnel (performance bias)
Low risk " The double dummy technique was used to blind the study medications for differences in appearance and dosing frequency
Blinding of outcome assessment (detection bias)
Unclear risk No details provided. Outcomes assessors could be biased by the side effects profile of oxycodone.
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis, LCOF
Selective reporting (reporting bias) High risk No protocol reported by the authors; SAE not reported
Selection bias Unclear risk No significant baseline differences in demographic variables between the three groups. Pain baseline not reported.
Funding bias High risk Funded by pharmaceutical industry; one author (senior author) affiliated with drug manufacturer
92
Caldwell 2002
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Unclear risk We had insufficient information to permit judgement.
Allocation concealment (selection bias)
Unclear risk We had insufficient information to permit judgement.
Blinding of participants and personnel (performance bias)
Low risk "Placebo Avinza and placebo MSC matched the appearance of the respective active treatments"
Blinding of outcome assessment (detection bias)
Unclear risk No details reported. Outcome assessors may have been unblinded by the side effects of opioids
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis, no details reported
Selective reporting (reporting bias) High risk No protocol reported by the authors; serious adverse events insufficiently reported
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the three groups
Funding bias High risk The affiliation of 4 of 9 study authors was the pharmaceutical company which sponsored the study
93
DeLemos 2011
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk " a randomization schedule was generated"
Allocation concealment (selection bias)
Low risk "Interactive voice-response system to asign randomization numbers to subjects"
Blinding of participants and personnel (performance bias)
Low risk "Tablets were similar in appearance and size"
Blinding of outcome assessment (detection bias)
Unclear risk We had insufficient information to permit judgement. The outcome assessor could be blinded by the side effects of tramadol.
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis, methods not reported
Selective reporting (reporting bias) Unclear risk No protocol reported by authors
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the groups
Funding bias High risk Study funded by pharmaceutical industry; 7 of 8 authors affiliated with drug manufacturer
94
Fishmann 2007
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk "Centralized computer-generated randomization list"
Allocation concealment (selection bias)
Low risk "Patients and personel remained blinded to treatment assignments"
Blinding of participants and personnel (performance bias)
Low risk Double dummy technique
Blinding of outcome assessment (detection bias)
Unclear risk Outcome assessors could be unblinded by side effects of tramadol
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis, the primary method of imputation used for missing data was LOCF
Selective reporting (reporting bias) High risk No protocol reported by authors; data of outcome physical functioning not suited for meta-analysis
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the three groups
Funding bias High risk The affiliation of 3 of 10 study authors was the pharmaceutical company which sponsored the study
95
Fleishmann 2010
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk Study medications were randomly assigned by a computer to a numerical list for each site, and patients were enrolled sequentially using the list.
Allocation concealment (selection bias)
Unclear risk We had insufficient information to permit judgement.
Blinding of participants and personnel (performance bias)
Low risk "The tramadol 50-mg capsules were identical in appearance to the placebo capsules".
Blinding of outcome assessment (detection bias)
Unclear risk We had insufficient information to permit judgement. The outcome assessor could be unblinded by the side effects of tramadol.
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis, methods not reported
Selective reporting (reporting bias) Unclear risk No protocol reported by authors
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the groups
Funding bias High risk Study funded by pharmaceutical industry; 2 of 6 authors affiliated with drug manufacturer
96
Friedmann 2011
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Unclear risk We had insufficient information to permit judgement.
Allocation concealment (selection bias)
Unclear risk We had insufficient information to permit judgement.
Blinding of participants and personnel (performance bias)
Unclear risk We had insufficient information to permit judgement.
Blinding of outcome assessment (detection bias)
Unclear risk We had insufficient information to permit judgement.
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis by LOCF
Selective reporting (reporting bias) High risk No means and SDs of secondary outcomes reported; outcomes of function could not be used for meta-analysis
Selection bias Unclear risk No significant baseline differences in demographic and clinical variables between the group
Funding bias High risk Authors affiliated with commercial companies
97
Gana 2006
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk " a randomization schedule was generated"
Allocation concealment (selection bias)
Low risk "Interactive voice-response system to asign randomization numbers to subjects"
Blinding of participants and personnel (performance bias)
Low risk "Tablets were similar in appearance and size"
Blinding of outcome assessment (detection bias)
Unclear risk We had insufficient information to permit judgement. The outcome assessor could be unblinded by the side effects of tramadol.
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis by LOCF
Selective reporting (reporting bias) Unclear risk No protocol reported by authors
Selection bias High risk Significant differences between the groups in pain baseline
Funding bias High risk Study funded by pharmaceutical industry; 7 of 8 authors affiliated with drug manufacturer
98
Katz 2010
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk "The outpatient site contacted the interactive Web Response System..."
Allocation concealment (selection bias)
Unclear risk We had insufficient information to permit judgement.
Blinding of participants and personnel (performance bias)
Low risk ""Both drug and placebo were packaged so as to be blinded to..."
Blinding of outcome assessment (detection bias)
Unclear risk No information provided. Outcomes assessors could be biased by the side effects profile of morphine.
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis of primary outcomes by BOCF and of secondary outcomes by LOCF
Selective reporting (reporting bias) Low risk The trial was registered at clinicaltrials.gov (NCT004200992); the primary and the secondary outcomes were consistent in the protocol compared with the publication
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the three groups
Funding bias High risk The study and the writing of the manuscript were sponsored by the manufacturer of the drug.
99
Langford 2006
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk "Randomization was performed using a computer generated list and stratified by target joint"
Allocation concealment (selection bias)
Low risk "Participants were assigned consecutive treatment codes, and investigators were unaware of the treatment allocation"
Blinding of participants and personnel (performance bias)
Low risk "TDF and placebo patches were identical."
Blinding of outcome assessment (detection bias)
Unclear risk We had insufficient information to permit judgement.Outcomes assessors could be biased by the side effects profile of fentanyl.
Incomplete outcome data (attrition bias)
Unclear risk ITT-analysis according to LCOF method
Selective reporting (reporting bias) High risk No protocol available in clinicaltrials.gov; drop out rates due to adverse events not reported
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the three groups
Funding bias High risk The affiliation of 1 of 5 study authors (senior author) was the pharmaceutical company which sponsored the study
100
Markenson 2005
Bias Authors'
judgement Support for judgement
Random sequence generation (selection bias)
Low risk The computer-generated randomization code and study drug bottles labelled with randomization numbers were supplied by the sponsor.
Allocation concealment (selection bias)
Low risk Study drug bottles labeled with randomization numbers were supplied by the sponsor
Blinding of participants and personnel (performance bias)
Unclear risk We had insufficient information to permit judgement.
Blinding of outcome assessment (detection bias)
Unclear risk We had insufficient information to permit judgement.
Incomplete outcome data (attrition bias)
Unclear risk ITT by LOCF
Selective reporting (reporting bias) Unclear risk No protocol reported by the authors
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the three groups
Funding bias High risk The affiliation of 2 of 4 study authors (senior author) was the pharmaceutical company which sponsored the study
101
102
Matsumoto 2005
Bias Authors' judgement
Support for judgement
Random sequence generation (selection bias)
Low risk "The list of randomization numbers was based on a computergenerated randomization schedule."
Allocation concealment (selection bias)
Unclear risk We had insufficient information to permit judgement.
Blinding of participants and personnel (performance bias)
Low risk "Study enrollees, study personnel, and investigators were blinded to the identity of the treatments. The statisticians who analyzed the data remained blinded to the identity of the treatments until all data were entered into the database and the database was locked."
Blinding of outcome assessment (detection bias)
Low risk "Study enrollees, study personnel, and investigators were blinded to the identity of the treatments. The statisticians who analyzed the data remained blinded to the identity of the treatments until all data were entered into the database and the database was loc
Incomplete outcome data (attrition bias)
Unclear risk ITT by LCOF
Selective reporting (reporting bias) High risk The authors did not provide a protocol; SAE incompletely reported *
Selection bias Low risk No significant baseline differences in demographic and clinical variables between the groups
Funding bias High risk Study funded by manufacturer of the drug
103
Munera 2010
Bias Authors'
judgement
Support for
judgement
Random
sequence
generation
(selection
bias)
Unclear risk We had
insufficient
information to
permit
judgement.
Allocation
concealment
(selection
bias)
Unclear risk We had
insufficient
information to
permit
judgement.
Blinding of
participants
and
personnel
(performance
bias)
Low risk "Patients
received
identical
looking
patches"
Blinding of
outcome
assessment
(detection
bias)
Unclear risk No details
provided.
Outcomes
assessors could
be biased by
the side effects
profile of
buprenorphine
Incomplete
outcome data
(attrition
bias)
Unclear risk ITT-analysis,
details not
reported
Selective
reporting
(reporting
bias)
Low risk NCT00455520;
the primary
and the
secondary
outcomes were
consistent in
the protocol
compared with
the publication
Selection
bias Unclear risk
Pain baseline
not reported
Funding bias High risk Funding by
pharmaceutical
industry; 3 of 4
104
authors
affiliated with
industry
105
Peloso 2000
Bias Authors'
judgement
Support for
judgement
Random
sequence
generation
(selection
bias)
Unclear risk We had
insufficient
information to
permit
judgement.
Allocation
concealment
(selection
bias)
Unclear risk We had
insufficient
information to
permit
judgement.
Blinding of
participants
and
personnel
(performance
bias)
Low risk "Identical
appearing
placebo"
Blinding of
outcome
assessment
(detection
bias)
Unclear risk No details
provided.
Outcomes
assessors
could be bias
based on the
side effects
profile of
codeine.
Incomplete
outcome data
(attrition
bias)
High risk Completer
analysis
Selective
reporting
(reporting
bias)
High risk No protocol
reported by the
authors. SAE
not reported
Selection
bias Low risk
No significant
baseline
differences in
demographic
and clinical
variables
between the
groups
Funding bias Low risk No funding by
pharmaceutical
industry
106
reported; no
authors
affiliated with
industry
107
Rauck 2013
Bias Authors'
judgement Support for judgement
Random sequence generation
(selection bias) Unclear risk
We had insufficient information to
permit judgement.
Allocation concealment (selection
bias) Unclear risk
We had insufficient information to
permit judgement.
Blinding of participants and personnel
(performance bias) Low risk
"Identical appearing placebo"
Blinding of outcome assessment
(detection bias) Unclear risk
No details provided. Outcomes
assessors could be bias based on
the side effects profile of codeine.
Incomplete outcome data (attrition
bias) High risk
Completer analysis
Selective reporting (reporting bias) High risk No protocol reported by the
authors. SAE not reported
Selection bias Low risk No significant baseline differences
in demographic and clinical
variables between the groups
Funding bias Low risk No funding by pharmaceutical
industry reported; no authors
affiliated with industry
108
Thorne 2008
Bias Authors'
judgement Support for judgement
Random sequence generation
(selection bias) Unclear risk
We had insufficient information to
permit judgement.
Allocation concealment (selection
bias) Unclear risk
We had insufficient information to
permit judgement.
Blinding of participants and personnel
(performance bias) Low risk
"Matching placebo tablets"
Blinding of outcome assessment
(detection bias) Unclear risk
No information provided.
Outcomes assessors could be bias
based on the side effects profile of
tramadol
Incomplete outcome data (attrition
bias) Unclear risk
ITT-analysis, method not reported
Selective reporting (reporting bias) Unclear risk No study protocol reported by
authors
Selection bias Low risk Cross over design
Funding bias High risk Funding by pharmaceutical
industry; 4/9 authors affiliated with
industry
109
Vojtassasak 2011
Bias Authors'
judgement Support for judgement
Random sequence generation
(selection bias) Low risk
"computer-generated randomisation
schedule prepared by an
independent statistician"
Allocation concealment (selection
bias) Unclear risk
"The investigator and the subject
were blinded to treatment
allocation". No further information
provided
Blinding of participants and personnel
(performance bias) Unclear risk
The authors did not report the
physical characteristics of the
placebos.
Blinding of outcome assessment
(detection bias) Unclear risk
We had insufficient information to
permit judgement.Outcomes
assessors could be bias based on
the side effects profile of
hydromorphone
Incomplete outcome data (attrition
bias) Unclear risk
ITT-analysis, No further
information provided
Selective reporting (reporting bias) Low risk No protocol reported by the
authors. By search in clinicaltrials.
gov: NCT00980798. the primary
and the secondary outcomes were
consistent in the protocol compared
with the publication
Selection bias Low risk No significant baseline differences
in demographic and clinical
variables between the three groups
Funding bias High risk Funding by pharmaceutical
industry; 3 of five authors affiliated
with industry
110
Evidence report – Forest Plots of standardised mean differences and risk differences of opioids compared to placebo on selected outcomes
Parallel or cross over design
Figure 1 (Electronic Supplementary Material): Effect estimates (standardised mean
differences) of mean pain intensity reduction at end of treatment
111
Study or Subgroup
1.1.1 Buprenorphine
Breivik 2010
Munera 2010Subtotal (95% CI)
Heterogeneity: Tau² = 0.00; Chi² = 0.17, df = 1 (P = 0.68); I² = 0%
Test for overall effect: Z = 2.18 (P = 0.03)
1.1.2 Codeine
Peloso 2000Subtotal (95% CI)
Heterogeneity: Not applicable
Test for overall effect: Z = 2.55 (P = 0.01)
1.1.3 Fentanyl
Langford 2006Subtotal (95% CI)
Heterogeneity: Not applicable
Test for overall effect: Z = 2.17 (P = 0.03)
1.1.4 Hydromorphone
Rauck 2013
Rauck 2013
Vojtassak 2011Subtotal (95% CI)
Heterogeneity: Tau² = 0.01; Chi² = 4.05, df = 2 (P = 0.13); I² = 51%
Test for overall effect: Z = 0.72 (P = 0.47)
1.1.5 Morphine
Caldwell 2002
Caldwell 2002
Caldwell 2002Subtotal (95% CI)
Heterogeneity: Tau² = 0.00; Chi² = 0.19, df = 2 (P = 0.91); I² = 0%
Test for overall effect: Z = 2.34 (P = 0.02)
1.1.6 Oxycodone
Afilalo 2010
Markenson 2005
Matsumoto 2005Subtotal (95% CI)
Heterogeneity: Tau² = 0.00; Chi² = 0.62, df = 2 (P = 0.73); I² = 0%
Test for overall effect: Z = 3.48 (P = 0.0005)
1.1.7 Oxymorphone
Matsumoto 2005
Matsumoto 2005Subtotal (95% CI)
Heterogeneity: Tau² = 0.00; Chi² = 0.31, df = 1 (P = 0.58); I² = 0%
Test for overall effect: Z = 4.12 (P < 0.0001)
1.1.8 Tapentadol
Afilalo 2010
Afilalo 2010Subtotal (95% CI)
Heterogeneity: Not applicable
Test for overall effect: Z = 3.56 (P = 0.0004)
1.1.9 Tramadol
Babul 2004
DeLemos 2011
DeLemos 2011
DeLemos 2011
Fishman 2007
Fishman 2007
Fishman 2007
Fleischmann 2000
Gana 2006
Gana 2006
Gana 2006
Gana 2006
Thorne 2008Subtotal (95% CI)
Heterogeneity: Tau² = 0.00; Chi² = 11.83, df = 12 (P = 0.46); I² = 0%
Test for overall effect: Z = 4.87 (P < 0.00001)
Total (95% CI)
Heterogeneity: Tau² = 0.01; Chi² = 35.47, df = 28 (P = 0.16); I² = 21%
Test for overall effect: Z = 7.51 (P < 0.00001)
Test for subgroup differences: Chi² = 15.03, df = 8 (P = 0.06), I² = 46.8%
Mean
-3.2
-1.84
32.5
-23.6
-2.5
-2
-2.4
-26.7
-23.1
-22.8
-1.05
-1.7
-90
-118
-104
-1.16
0
-29
-90.4
-82.5
-117.8
-46
-42.8
-41.6
2.1
-111.5
-107.2
-103.9
-107.8
38.2
SD
3.8
2.68
21.4
25.6
2.9
2.86
2.1
29.9
29.9
29.9
0.67
2.2
112
110
109
0.67
0
76.2
125.6
125.6
125.9
39.9
46.4
50.2
1.06
123.3
122.2
123.3
123.7
22.7
Total
100
149249
3131
202202
330
319
138787
73
76
73222
92
56
125273
121
121242
149
0149
124
199
201
199
105
107
103
63
201
202
201
202
1002007
4162
Mean
-2.3
-1.4
47.7
-17.9
-1.9
-1.9
-2.6
-14.6
-14.6
-14.6
-0.88
-0.6
-60
-60
-60
-0.88
0
-18.7
-94.9
-94.9
-94.9
-32.3
-32.3
-32.3
2.48
-74.2
-74.2
-74.2
-74.2
47.7
SD
3.7
2.67
24.7
26.7
2.86
2.86
2.3
29.9
29.9
29.9
0.69
2.9
111
111
111
0.69
0
73.9
125.9
125.9
125.9
38.2
48.2
48.2
1.13
121.7
121.7
121.7
121.7
25.7
Total
99
162261
3535
197197
166
165
149480
24
25
2473
158
51
124333
62
62124
158
0158
122
67
67
66
76
76
75
66
51
51
51
52
100920
2581
Weight
3.5%
4.9%8.4%
1.3%1.3%
5.8%5.8%
6.2%
6.2%
4.6%17.0%
1.5%
1.5%
1.5%4.4%
4.0%
2.1%
4.2%10.2%
2.9%
3.0%5.9%
4.8%
4.8%
4.1%
3.5%
3.5%
3.5%
3.2%
3.2%
3.1%
2.4%
3.0%
3.0%
3.0%
3.0%
3.5%42.1%
100.0%
IV, Random, 95% CI
-0.24 [-0.52, 0.04]
-0.16 [-0.39, 0.06]-0.19 [-0.37, -0.02]
-0.65 [-1.14, -0.15]-0.65 [-1.14, -0.15]
-0.22 [-0.41, -0.02]-0.22 [-0.41, -0.02]
-0.21 [-0.39, -0.02]
-0.03 [-0.22, 0.15]
0.09 [-0.14, 0.32]-0.06 [-0.23, 0.10]
-0.40 [-0.87, 0.06]
-0.28 [-0.74, 0.17]
-0.27 [-0.73, 0.19]-0.32 [-0.58, -0.05]
-0.25 [-0.51, 0.01]
-0.43 [-0.81, -0.04]
-0.27 [-0.52, -0.02]-0.29 [-0.45, -0.13]
-0.52 [-0.83, -0.21]
-0.40 [-0.71, -0.09]-0.46 [-0.68, -0.24]
-0.41 [-0.64, -0.18]
Not estimable-0.41 [-0.64, -0.18]
-0.14 [-0.39, 0.11]
0.04 [-0.24, 0.31]
0.10 [-0.18, 0.38]
-0.18 [-0.46, 0.10]
-0.35 [-0.65, -0.05]
-0.22 [-0.52, 0.07]
-0.19 [-0.49, 0.11]
-0.34 [-0.69, 0.00]
-0.30 [-0.61, 0.01]
-0.27 [-0.58, 0.04]
-0.24 [-0.55, 0.07]
-0.27 [-0.58, 0.03]
-0.39 [-0.67, -0.11]-0.20 [-0.28, -0.12]
-0.22 [-0.28, -0.17]
Opioids Placebo Std. Mean Difference Std. Mean Difference
IV, Random, 95% CI
-1 -0.5 0 0.5 1Favours opioids Favours placebo
Figure 2 (Electronic Supplementary Material): Effect estimates (risk difference) of 50% pain
reduction at end of treatment
112
Study or Subgroup
1.2.1 Oxycodone
Afilalo 2010
Afilalo 2013Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 0.22, df = 1 (P = 0.64); I² = 0%
Test for overall effect: Z = 2.68 (P = 0.007)
1.2.2 Tapentadol
Afilalo 2010
Afilalo 2010
Afilalo 2013
Afilalo 2013Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 1.46, df = 1 (P = 0.23); I² = 31%
Test for overall effect: Z = 1.61 (P = 0.11)
Total (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 12.24, df = 3 (P = 0.007); I² = 75%
Test for overall effect: Z = 0.22 (P = 0.82)
Test for subgroup differences: Chi² = 8.48, df = 1 (P = 0.004), I² = 88.2%
Events
59
73
132
0
110
0
99
209
341
Total
342
331673
0
344
0
344688
1361
Events
82
91
173
0
82
0
91
173
346
Total
337
337674
0
337
0
337674
1348
Weight
25.8%
25.0%50.8%
24.6%
24.6%49.2%
100.0%
IV, Random, 95% CI
-0.07 [-0.13, -0.01]
-0.05 [-0.11, 0.02]-0.06 [-0.11, -0.02]
Not estimable
0.08 [0.01, 0.14]
Not estimable
0.02 [-0.05, 0.09]0.05 [-0.01, 0.10]
-0.01 [-0.07, 0.06]
Opioids Placebo Risk Difference Risk Difference
IV, Random, 95% CI
-0.5 -0.25 0 0.25 0.5Placebo Opioids
113
Figure 3 (Electronic Supplementary Material): Effect estimates (risk difference) of
Patient Global Impression of Change (PGIC): reports to be much or very much improved at
end of treatment
Study or Subgroup
1.3.1 Buprenorphine
Breivik 2010Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 2.70 (P = 0.007)
1.3.2 Tapentadol
Afilalo 2010
Afilalo 2010
Afilalo 2013
Afilalo 2013Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 2.85, df = 1 (P = 0.09); I² = 65%
Test for overall effect: Z = 3.54 (P = 0.0004)
1.3.3 Oxycodone
Afilalo 2010
Afilalo 2013Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.01; Chi² = 3.66, df = 1 (P = 0.06); I² = 73%
Test for overall effect: Z = 0.87 (P = 0.38)
Total (95% CI)
Total events
Heterogeneity: Tau² = 0.01; Chi² = 15.55, df = 4 (P = 0.004); I² = 74%
Test for overall effect: Z = 3.05 (P = 0.002)
Test for subgroup differences: Chi² = 2.83, df = 2 (P = 0.24), I² = 29.3%
Events
36
36
0
151
0
139
290
94
90
184
510
Total
100100
0
258
0
248506
200
212412
1018
Events
19
19
0
97
0
127
224
97
127
224
467
Total
9999
0
273
0
294567
273
294567
1233
Weight
16.8%16.8%
21.2%
21.0%42.2%
20.4%
20.6%41.0%
100.0%
IV, Random, 95% CI
0.17 [0.05, 0.29]0.17 [0.05, 0.29]
Not estimable
0.23 [0.15, 0.31]
Not estimable
0.13 [0.04, 0.21]0.18 [0.08, 0.28]
0.11 [0.03, 0.20]
-0.01 [-0.09, 0.08]0.05 [-0.07, 0.17]
0.13 [0.05, 0.21]
Opioids Placebo Risk Difference Risk Difference
IV, Random, 95% CI
-0.5 -0.25 0 0.25 0.5Placebo Opioids
114
Figure 4 (Electronic Supplementary Material): Effect estimates (standardised mean
differences) of physical function improvement at end of treatment
115
Figure 5 (Electronic Supplementary Material): Effect estimates (risk difference) of dropping
out due to lack of efficacy during study
116
Study or Subgroup
1.8.1 Buprenorphine
Breivik 2010Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 1.23 (P = 0.22)
1.8.2 Codeine
Peloso 2000Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 1.69 (P = 0.09)
1.8.3 Fentanyl
Langford 2006Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 6.57 (P < 0.00001)
1.8.4 Hydromorphone
Rauck 2013
Rauck 2013
Vojtassak 2011Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 3.69, df = 2 (P = 0.16); I² = 46%
Test for overall effect: Z = 3.85 (P = 0.0001)
1.8.5 Morphine
Caldwell 2002
Caldwell 2002
Caldwell 2002Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 0.80, df = 2 (P = 0.67); I² = 0%
Test for overall effect: Z = 1.12 (P = 0.26)
1.8.6 Oxycodone
Afilalo 2010
Markenson 2005
Matsumoto 2005Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.02; Chi² = 18.36, df = 2 (P = 0.0001); I² = 89%
Test for overall effect: Z = 3.29 (P = 0.0010)
1.8.7 Oxymorphone
Matsumoto 2005
Matsumoto 2005Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 0.52, df = 1 (P = 0.47); I² = 0%
Test for overall effect: Z = 4.70 (P < 0.00001)
1.8.8 Tapentadol
Afilalo 2010Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 5.22 (P < 0.00001)
1.8.9 Tramadol
Babul 2004
Fishman 2007
Fishman 2007
Fishman 2007
Fleischmann 2000
Gana 2006
Gana 2006
Gana 2006
Gana 2006
Thorne 2008Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 23.26, df = 9 (P = 0.006); I² = 61%
Test for overall effect: Z = 3.80 (P = 0.0001)
Total (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 85.36, df = 24 (P < 0.00001); I² = 72%
Test for overall effect: Z = 7.49 (P < 0.00001)
Test for subgroup differences: Chi² = 24.37, df = 8 (P = 0.002), I² = 67.2%
Events
7
7
1
1
15
15
30
49
5
84
9
12
8
29
7
9
9
25
5
13
18
15
15
19
21
11
11
28
31
29
18
23
1
192
386
Total
100100
5151
202202
330
319
139788
73
73
76222
332
56
121509
121
125246
334334
124
106
111
108
63
203
203
204
205
941421
3873
Events
12
12
5
5
64
64
42
41
16
99
5
4
5
14
56
34
34
124
17
17
34
56
56
45
15
15
15
49
11
11
12
12
3
188
596
Total
9999
5252
197197
166
166
149481
24
25
2574
337
51
124512
62
62124
337337
122
76
76
75
66
51
51
51
52
88708
2584
Weight
4.7%4.7%
4.5%4.5%
4.9%4.9%
4.9%
4.8%
5.4%15.2%
2.3%
2.5%
2.4%7.3%
5.8%
2.6%
4.4%12.8%
3.7%
3.5%7.1%
5.8%5.8%
3.9%
3.6%
4.0%
3.9%
2.6%
3.5%
3.5%
3.5%
3.5%
5.8%37.8%
100.0%
IV, Random, 95% CI
-0.05 [-0.13, 0.03]-0.05 [-0.13, 0.03]
-0.08 [-0.17, 0.01]-0.08 [-0.17, 0.01]
-0.25 [-0.33, -0.18]-0.25 [-0.33, -0.18]
-0.16 [-0.24, -0.09]
-0.09 [-0.17, -0.02]
-0.07 [-0.13, -0.01]-0.11 [-0.16, -0.05]
-0.09 [-0.26, 0.09]
0.00 [-0.16, 0.17]
-0.09 [-0.27, 0.08]-0.06 [-0.16, 0.04]
-0.15 [-0.19, -0.10]
-0.51 [-0.67, -0.34]
-0.20 [-0.29, -0.11]-0.26 [-0.42, -0.11]
-0.23 [-0.35, -0.12]
-0.17 [-0.29, -0.05]-0.20 [-0.29, -0.12]
-0.12 [-0.17, -0.08]-0.12 [-0.17, -0.08]
-0.22 [-0.32, -0.11]
0.00 [-0.12, 0.12]
-0.10 [-0.20, 0.01]
-0.10 [-0.21, 0.01]
-0.30 [-0.46, -0.14]
-0.06 [-0.19, 0.06]
-0.07 [-0.20, 0.05]
-0.15 [-0.27, -0.02]
-0.12 [-0.24, 0.00]
-0.02 [-0.07, 0.02]-0.10 [-0.16, -0.05]
-0.13 [-0.16, -0.10]
Opioids Placebo Risk Difference Risk Difference
IV, Random, 95% CI
-1 -0.5 0 0.5 1Favours placebo Favours opioid
117
Figure 6 (Electronic Supplementary Material): Effect estimates (risk difference) of dropping
out due to adverse events during study
118
119
Figure 7 (Electronic Supplementary Material): Effect estimates (risk difference) of serious
adverse events during study
Study or Subgroup
1.6.1 Buprenorphine
Breivik 2010
Munera 2010Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 0.84, df = 1 (P = 0.36); I² = 0%
Test for overall effect: Z = 0.98 (P = 0.33)
1.6.2 Fentanyl
Langford 2006Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 1.40 (P = 0.16)
1.6.3 Hydromorphone
Rauck 2013
Rauck 2013
Vojtassak 2011Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 0.21, df = 2 (P = 0.90); I² = 0%
Test for overall effect: Z = 1.77 (P = 0.08)
1.6.4 Oxycodone
Afilalo 2010
Markenson 2005Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 1.35, df = 1 (P = 0.24); I² = 26%
Test for overall effect: Z = 1.17 (P = 0.24)
1.6.5 Tapentadol
Afilalo 2010
Afilalo 2010Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 0.67 (P = 0.50)
1.6.6 Tramadol
Fishman 2007
Fleischmann 2000
Gana 2006
Gana 2006
Gana 2006
Gana 2006
Thorne 2008Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 4.52, df = 6 (P = 0.61); I² = 0%
Test for overall effect: Z = 0.03 (P = 0.97)
Total (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 15.28, df = 15 (P = 0.43); I² = 2%
Test for overall effect: Z = 0.90 (P = 0.37)
Test for subgroup differences: Chi² = 7.42, df = 5 (P = 0.19), I² = 32.6%
Events
5
0
5
6
6
13
8
10
31
10
3
13
4
0
4
2
0
4
3
3
6
0
18
77
Total
100
152252
202202
330
319
139788
342
56398
344
0344
325
63
201
201
202
202
941288
3272
Events
4
2
6
2
2
3
2
9
14
6
0
6
6
0
6
2
2
0
1
0
1
1
7
41
Total
99
163262
197197
166
166
149481
337
51388
337
0337
224
66
51
51
51
52
88583
2248
Weight
1.5%
10.8%12.3%
6.4%6.4%
5.6%
8.3%
1.5%15.4%
9.1%
1.1%10.2%
14.2%
14.2%
20.3%
1.9%
4.3%
2.8%
4.7%
2.5%
5.2%41.6%
100.0%
M-H, Random, 95% CI
0.01 [-0.05, 0.07]
-0.01 [-0.03, 0.01]-0.01 [-0.03, 0.01]
0.02 [-0.01, 0.05]0.02 [-0.01, 0.05]
0.02 [-0.01, 0.05]
0.01 [-0.01, 0.04]
0.01 [-0.05, 0.07]0.02 [-0.00, 0.03]
0.01 [-0.01, 0.03]
0.05 [-0.01, 0.12]0.02 [-0.01, 0.05]
-0.01 [-0.02, 0.01]
Not estimable-0.01 [-0.02, 0.01]
-0.00 [-0.02, 0.01]
-0.03 [-0.08, 0.02]
0.02 [-0.01, 0.05]
-0.00 [-0.05, 0.04]
0.01 [-0.02, 0.05]
0.01 [-0.03, 0.05]
-0.01 [-0.04, 0.02]-0.00 [-0.01, 0.01]
0.00 [-0.00, 0.01]
Opioids Placebo Risk Difference Risk Difference
M-H, Random, 95% CI
-0.2 -0.1 0 0.1 0.2Favours placebo Favours opioid
120
Figure 8 (Electronic Supplementary Material): Effect estimates (risk difference) of death
during study
121
Forest Plots of standardised mean differences and risk differences of opioids compared to placebo on selected outcomes
EERW design
Figure 9 (Electronic Supplementary Material): Effect estimates (standardised mean
differences) of mean pain intensity reduction at end of treatment
Study or Subgroup
2.2.3 Morphine
Katz 2010Subtotal (95% CI)
Heterogeneity: Not applicable
Test for overall effect: Z = 1.42 (P = 0.16)
2.2.4 Oxycodone
Caldwell 1999
Friedmann 2011Subtotal (95% CI)
Heterogeneity: Tau² = 0.11; Chi² = 4.17, df = 1 (P = 0.04); I² = 76%
Test for overall effect: Z = 1.49 (P = 0.14)
Total (95% CI)
Heterogeneity: Tau² = 0.02; Chi² = 4.63, df = 2 (P = 0.10); I² = 57%
Test for overall effect: Z = 2.17 (P = 0.03)
Test for subgroup differences: Chi² = 0.73, df = 1 (P = 0.39), I² = 0%
Mean
-0.4
0.44
-0.7
SD
1.3
0.76
2.05
Total
170170
34
203237
407
Mean
-0.2
1
-0.3
SD
1.3
0.78
2.48
Total
173173
36
207243
416
Weight
40.5%40.5%
16.6%
42.9%59.5%
100.0%
IV, Random, 95% CI
-0.15 [-0.37, 0.06]-0.15 [-0.37, 0.06]
-0.72 [-1.20, -0.23]
-0.18 [-0.37, 0.02]-0.40 [-0.92, 0.12]
-0.26 [-0.49, -0.03]
Opioid Placebo Std. Mean Difference Std. Mean Difference
IV, Random, 95% CI
-4 -2 0 2 4Opioid Placebo
122
Figure 10 (Electronic Supplementary Material): Effect estimates (risk difference) of 50% pain
reduction at end of treatment
Study or Subgroup
2.4.3 Morphine
Katz 2010Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 1.74 (P = 0.08)
Total (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 1.74 (P = 0.08)
Test for subgroup differences: Not applicable
Events
97
97
97
Total
171171
171
Events
82
82
82
Total
173173
173
Weight
100.0%100.0%
100.0%
IV, Random, 95% CI
0.09 [-0.01, 0.20]0.09 [-0.01, 0.20]
0.09 [-0.01, 0.20]
Opioid Placebo Risk Difference Risk Difference
IV, Random, 95% CI
-10 -5 0 5 10Favours placebo Favours opioid
123
Figure 11 (Electronic Supplementary Material): Effect estimates (standardised mean
differences) of physical function improvementat end of treatment
124
Figure 12 (Electronic Supplementary Material): Effect estimates (risk difference) of dropping
out due to lack of efficacy during study
Study or Subgroup
2.5.1 Buprenorphine
Munera 2010Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 1.28 (P = 0.20)
2.5.2 Morphine
Katz 2010Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 4.58 (P < 0.00001)
2.5.3 Oxycodone
Caldwell 1999
Caldwell 1999
Friedmann 2011Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 2.37, df = 2 (P = 0.31); I² = 16%
Test for overall effect: Z = 3.56 (P = 0.0004)
2.5.4 Tramadol
Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Not applicable
Total (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 4.31, df = 4 (P = 0.37); I² = 7%
Test for overall effect: Z = 6.12 (P < 0.00001)
Test for subgroup differences: Chi² = 2.16, df = 2 (P = 0.34), I² = 7.2%
Events
43
43
6
6
3
4
12
19
0
68
Total
152152
171171
34
37
205276
0
599
Events
57
57
32
32
7
6
38
51
0
140
Total
163163
173173
18
18
207243
0
579
Weight
16.2%16.2%
37.6%37.6%
3.0%
3.1%
40.0%46.2%
100.0%
IV, Random, 95% CI
-0.07 [-0.17, 0.04]-0.07 [-0.17, 0.04]
-0.15 [-0.21, -0.09]-0.15 [-0.21, -0.09]
-0.30 [-0.55, -0.06]
-0.23 [-0.46, 0.01]
-0.13 [-0.19, -0.06]-0.16 [-0.24, -0.07]
Not estimable
-0.13 [-0.18, -0.09]
Opioid Placebo Risk Difference Risk Difference
IV, Random, 95% CI
-1 -0.5 0 0.5 1Favours placebo Favours opioid
125
Figure 13 (Electronic Supplementary Material): Effect estimates (risk difference) of dropping
out due to adverse events during study
Study or Subgroup
2.8.3 Morphine
Katz 2010Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 0.98 (P = 0.33)
2.8.4 Oxycodone
Caldwell 1999
Friedmann 2011Subtotal (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 1.69, df = 1 (P = 0.19); I² = 41%
Test for overall effect: Z = 1.52 (P = 0.13)
Total (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 3.06, df = 2 (P = 0.22); I² = 35%
Test for overall effect: Z = 1.89 (P = 0.06)
Test for subgroup differences: Chi² = 0.52, df = 1 (P = 0.47), I² = 0%
Events
18
18
3
43
46
64
Total
171171
34
205239
410
Events
13
13
3
22
25
38
Total
173173
36
207243
416
Weight
45.5%45.5%
15.6%
38.9%54.5%
100.0%
IV, Random, 95% CI
0.03 [-0.03, 0.09]0.03 [-0.03, 0.09]
0.00 [-0.13, 0.14]
0.10 [0.03, 0.17]0.07 [-0.02, 0.16]
0.05 [-0.00, 0.11]
Opioid Placebo Risk Difference Risk Difference
IV, Random, 95% CI
-0.5 -0.25 0 0.25 0.5Placebo Opioid
126
Figure 14 (Electronic Supplementary Material): Effect estimates (risk difference) of serious
adverse events during study
Study or Subgroup
2.9.3 Morphine
Katz 2010Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 0.43 (P = 0.66)
2.9.4 Oxycodone
Friedmann 2011Subtotal (95% CI)
Total events
Heterogeneity: Not applicable
Test for overall effect: Z = 1.16 (P = 0.25)
Total (95% CI)
Total events
Heterogeneity: Tau² = 0.00; Chi² = 0.83, df = 1 (P = 0.36); I² = 0%
Test for overall effect: Z = 0.84 (P = 0.40)
Test for subgroup differences: Chi² = 0.83, df = 1 (P = 0.36), I² = 0%
Events
9
9
5
5
14
Total
171171
205205
376
Events
11
11
2
2
13
Total
173173
207207
380
Weight
20.3%20.3%
79.7%79.7%
100.0%
IV, Random, 95% CI
-0.01 [-0.06, 0.04]-0.01 [-0.06, 0.04]
0.01 [-0.01, 0.04]0.01 [-0.01, 0.04]
0.01 [-0.01, 0.03]
Opioid Placebo Risk Difference Risk Difference
IV, Random, 95% CI
-0.5 -0.25 0 0.25 0.5Placebo Opioid