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Cancer Registries and Rare Cancers:Data quality and supplementary
information
Carmen Martínez-García.Granada Cancer Registry.
Andalusian School of Public Health. Spain
WP6 Second Meeting. Andalusian School of Public Health
Granada, 25 March 2009
WP6. Objectives
To assess the validity, completeness and inter-
registry standardisation of population-based
cancer registry data on rare cancers.
To improve the data quality and comparability
of incidence, prevalence and survival of rare
cancers among European population-based
cancer registries (PBCR).
WP6 Partners• Gemma Gatta, INT, Project Leader Italy
• Franco Berrino, INT, EUROCARE Italy
• Ricardo Capocaccia, ISS
Italy
• Stefano Ferreti FCR Italy
• Adriano Giacomin, BCR Italy
• Torgil Möller, Lund UH
Sweden
• Maja Primic Žakelj, IOL
Slovenia
• Jean Michel Lutz, NICER
Swizerland
• Juan A Virizuela (Oncologist), SAS Spain
• Ricardo González-Cámpora (Anatomopath), SAS
Spain
• María José Sánchez (Epidemiologist), EASP
Spain
•Juan Manuel Melchor, EASP Spain
• Carmen Martínez García, EASP
SpainSamba Sowe INT
• To select the same data quality indicators
from the PBCR participating in RARECARE
• To be able to interpret the variability in
incidence and survival among these PBCR
• To propose actions that improve the data’s
quality and comparability
What do we want?
Data Quality.WP6
Indicators used to evaluate completeness and validity in cancer registries:
• Basis of diagnosis
• %Microscopically verified cases
• %Clinical diagnosis
• %Unknwon
• %Death Certificate only
• %Autopsies
Data Quality
• Unknown primary site: C80.0
• Ill-defined site: C55.9 (uterus); C76.- (Thorax,…)
• Ill-defined subsite: 4th digit 8 and 9
• Morphology NOS ( 8000/3, 8001/3, 8010/3...)
• Pathological review of specific cases/markers?
• Follow up indicators ?
Data Quality WP6
What have we done until now?
To calculate indicators on basis of diagnosis for some
layer 1 categories:
• Epithelial: C30-31, C11, C07- C08
• Mesothelioma
• Central Nervous system: Glial, Non glial, Meningioma
• By registry, country and region
Data QualityEpithelial Tumour of the Nasal Cavity and Sinuses, by
country. 1995-2002
0% 20% 40% 60% 80% 100%
AUSTRIA
FRANCE
ICELAND
ITALY
NETHERLAND
POLAND
SLOVENIA
SWEDEN
UK_ENGLAND
UK_SCOTLAND
MC
CD
UK
Data QualityEpithelial Tumour of the Nasal Cavity and Sinuses, by Area.
1995-2002
0% 20% 40% 60% 80% 100%
Northern Europe
Central Europe
Eastern Europe
Southern Europe
UK and Northern Ireland
EU Overall
MC
CD
UK
Data QualityGlial Tumour of the CNS and Pineal Gland, by country.
1995-20020% 20% 40% 60% 80% 100%
AUSTRIA
BELGIUM
FRANCE
GERMANY
ICELAND
IRELAND
ITALY
MALTA
NETHERLAND
NORWAY
POLAND
PORTUGAL
SLOVENIA
SPAIN
SWEDEN
SWITZERLAND
UK_ENGLAND
UK_NORTHERN_IRELAND
UK_SCOTLAND
UK_WALES
MC
CD
UNK
Data QualityGlial Tumour of the CNS and Pineal Gland, by Area.
1995-2002
0% 20% 40% 60% 80% 100%
Northern Europe
Central Europe
Eastern Europe
Southern Europe
UK and Northern Ireland
EU Overall
MC
CD
UNK
Data Quality WP6
What have we done until now?
• To “explore” the ill defined sites
• By registry and country
• To “explore” the morfology NOS
• By registry
Data Qualityill-defined sites
Numerador Numerator
Overlapping lesion of other and unspecified parts of mouth and Mouth,NOS 6.8-6.9
Hypopharynx,NOS 13.9
Pharynx,NOS and Overlapping lesion of lip, oral cavity and pharynx 14.0-14.8
Overlapping lesion of rectum, anus and anal canal 21.8
Intestinal tract, NOS and Gastrointestinal tract, NOS 26.0-26.9
Overlapping lesion of heart, mediastinum, and pleura 38.8
Upper respiratory tract, NOS-ILL-defined withing respiratory system 39.0-39.9
Uterus, NOS 55.9
Overlapping lesion of female genital organs- Female genital tract, NOS 57.8-57.9
Overlapping lesion of male genital organs- Male genital tract, NOS 63.8-63.9
Overlapping lesion of urinary organs-Urinary system, NOS 68.8-68.9
Overlapping lesion of brain and central nervous system-Nervous system, NOS 72.8-72.9
Overlapping lesion of endocrine glands and related structures-Endocrine gland, NOS 75.8-75.9
Head, face or neck, NOS- Overlapping lesion of ill-defined sites 76.0-76.8
Unknown primary site 80.9
Data Qualityill-defined sites. Number of incident cases and percentage by
site and Registry. 1995-2002
Site
Registry
06.8-06.9 13.9
14.0-14.8 21.8
26.0-26.9 38.8
39.0-39.9 55.9
57.8-57.9
63.8-63.9
68.8-68.9
72.8-72.9
75.8-75.9
76.0-76.8 80.9 Total
Austria 183 753 157 52 207 3 1 470 91 10 256 70 11 623 11.126 Belgium Flemish 154 118 126 12 68 7 2 237 33 4 79 8 4 364 6.125 France Bas Rhin 6 24 41 1 5 0 0 8 1 0 2 3 0 9 365
Calvados 1 5 5 0 0 2 0 5 1 0 1 0 0 11 144
Calvados Digestive 0 0 0 9 9 0 0 0 0 0 0 0 0 0 31
Cote d’Or Digestive 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0
Cote d’Or Hematopoietic 0 0 0 0 2 0 0 0 0 0 0 0 0 7 2
Site
Registry
06.8-06.9 13.9
14.0-14.8 21.8
26.0-26.9 38.8
39.0-39.9 55.9
57.8-57.9
63.8-63.9
68.8-68.9
72.8-72.9
75.8-75.9
76.0-76.8 80.9
Austria 6,20 71,44 2,20 0,37 0,27 0,42 0,00 3,80 0,43 25,64 1,03 1,45 0,25 0,20 3,65
Belgium Flemish
8,82
28,16
3,33
0,19
0,22
0,89
0,01
4,27
0,37
0,02
0,82
0,37
0,39
0,25
4,23
France Bas Rhin
1,78
10,17
4,75
0,21
0,16
0,00
0,00
1,62
0,12
0,00
0,19
1,58
0,00
0,07
2,78
Calvados 0,51 4,00 0,93 0,00 0,00 4,88 0,00 1,90 0,23 0,00 0,19 0,00 0,00 0,19 2,53
Calvados Digestive 0,00 0,00 0,00 1,91 0,33 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 1,11
Cote d’Or Digestive 0,00 0,00 0,00 0,00 0,18 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00
Cote d’Or Hematopoietic 0,00 0,00 0,00 0,00 2,60 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,37 0,11
Data Quality WP6
Morphology NOS
Data Quality
Data Quality.WP6
Proposal of short list of rare cancers of high priority:
• Mesothelioma: primary prevention
• Angiosarcoma of the liver: primary prevention
• Sarcoma: diagnostic accuracy
• Oral cavity: secondary prevention
• CNS: appropiateness of treatment
• Germ cell tumours: appropiateness of treatment
• Leukaemia: appropiateness of treatment
• Endocrine tumours: data quality
Other sugestions for quality control?
Data Quality Report. WP6
The report will include:
• Results on quality control of rare cancers
• complet list
• priority list
• List of markers that may improve the accuracy of the diagnosis of selected cancers
• Proposal for improving the quality and comparability in terms of completeness and validity
The Report (D15) will be done by October 2009
Data Quality Seminar. WP6Seminar on classification and coding problems for selected rare cancers addressed to profesionals linked with population-based cancer registries.
Linked with WP4 and WP5
Collaboration with:
• European Network of Cancer Registries
• Northern Cancer Registries
• Groupe pour l’Epidemiologie et l’Enregistrement du Cancer dans les Pays de Langue Latine (GRELL)
The seminar will be due by April 2010
Difficulties studying rare cancers:
quality and comparability • Low number of cases: random variations in incidence and survival, as well as in quality indicators, for small registries
• Some cancers are new entities that need:
• technology for diagnosis (laboratory, imaging...)
• training of professionals
• training of registrars
• Some morphological entities in ICD-O-3 don’t exist in ICD-O-1 or ICD-O-2.
Comparing data from
Population-based
Cancer Registries: Art
or Science?
Comparing data from population- based cancer
registriesSome aspects to be taken into account when interpreting results from PBCR
• Socioeconomic conditions and health system in the region
• Definition of incident case: /0, /1, /2 and /3
• Rules for collecting coding and classifying data
• The “traditional” quality indicators
• Consider for each age group, site or morphology the circumstances that may be affected by a selection bias
When comparing data “each tumour” or group of
tumours must be studied using different
approaches; taking into account age, risk
factors, diagnostic resources (more or less
advanced technology), treatment (new drugs,
specialized centres for treatment), screening
programs in the region (neuroblastoma in
children) and other circumstances that may
influence incidence and survival
Considerations
Some sites with special problems• Bladder cancer
– Not enough tissue for diagnosis of invasion: /2 or /3 ?– Different criteria for coding the cases /1, /2 /3
• Ovary cancer – Borderline tumours: /1 in ICD-O-1, /3 in ICD-O-2
• Neurological/ Intracranial tumours– Inclusion of /0, /1 and /3 or only /3
• Uveal melanoma– Underascertainment when surgery is not performed