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Copyright 2008, The Johns Hopkins University and Sukon Kanchanaraksa. All rights reserved. Use of these materials permitted only in accordance with license rights granted. Materials provided “AS IS”; no representations or warranties provided. User assumes all responsibility for use, and all liability related thereto, and must independently review all materials for accuracy and efficacy. May contain materials owned by others. User is responsible for obtaining permissions for use from third parties as needed. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License . Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site.

Lecture 13: Cohort Studies

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Page 1: Lecture 13: Cohort Studies

Copyright 2008, The Johns Hopkins University and Sukon Kanchanaraksa. All rights reserved. Use of these materials permitted only in accordance with license rights granted. Materials provided “AS IS”; no representations or warranties provided. User assumes all responsibility for use, and all liability related thereto, and must independently review all materials for accuracy and efficacy. May contain materials owned by others. User is responsible for obtaining permissions for use from third parties as needed.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site.

Page 2: Lecture 13: Cohort Studies

Cohort Studies

Sukon Kanchanaraksa, PhDJohns Hopkins University

Page 3: Lecture 13: Cohort Studies

3

Exposed Not exposedIdentify:

Design of a Cohort Study

Develop

diseaseDo not

develop

disease

Develop

diseaseDo not

develop

disease

follow:

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Cohort Study

Totals

First, identify

Exposed a + b

Not exposed

c + d

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Cohort Study

Then, follow to see whether

Disease develops

Disease does not develop Totals

First, identify

Exposed a b a + b

Not exposed

c d c + d

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Cohort Study

Then, follow to see whetherCalculate

and compare

Disease develops

Disease does not develop Totals

Incidence of disease

First, identify

Exposed a b a + b

Not exposed

c d c + d

aa + b

cc + d

aa + b

= Incidence in exposed

cc + d

= Incidence in not exposed

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Cohort Study

Then, follow to see whether Calculate

Develop CHD

Do not develop

CHD TotalsIncidence of disease

First, select

Smoke cigarettes

84 2916 3000

Do not smoke cigarettes

87 4913 5000

843000

= 0.028 = Incidence in 'smoke cigarettes'

875000

= 0.0174 = Incidence in 'not smoke cigarettes'

843000

875000

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Design of a Cohort Study

Develop

diseaseDo not

develop

disease

Exposed

Develop

diseaseDo not

develop

disease

Not exposedIdentify :

N o n -

r a n d o m i z e d

Defined populationBegin with:

follow:

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9

Comparison of Experimental vs. Observational Study

Experimental(Randomized trial)

Population

Random allocation

Group A Group B

Observational(Cohort study)

Population

Other-than-random allocation

Group A Group B

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10

Types of Cohort Studies

Prospective cohort study−

Concurrent cohort study or longitudinal study

Retrospective cohort study−

Non-concurrent cohort or historical cohort study

= Investigator

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Time Frames for a Hypothetical Prospective

Cohort Study

Conducted in 2000

Disease No

disease

Exposed

Disease No

disease

Not

exposed

N o n -

r a n d o m i z e d

Defined populationProspective

2000

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Time Frames for a Hypothetical Retrospective Cohort Study

Conducted in 2000

Retrospective

1980

2000Disease No

disease

Exposed

Disease No

disease

Not

exposed

N o n -

r a n d o m i z e d

Defined population

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13

Differentiating between Prospective and Retrospective

Prospective cohort study−

Investigator

Starts the study (from the beginning) with the identification of the population and the exposure status (exposed/not exposed groups)Follows them (over time) for the development of diseaseTakes a relatively long time to complete the study (as long as the length of the study)

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Differentiating between Prospective and Retrospective

Retrospective cohort study−

Investigator

Uses existing data collected in the past to identify the population and the exposure status (exposed/not exposed groups)Determines at present the (development) status of disease

Investigator spends a relatively short time to:Assemble study population (and the exposed/not exposed groups) from past dataDetermine disease status at the present time (no future follow-up)

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Combined Prospective and Retrospective Cohort Study

Investigator uses existing data collected in the past to:−

Identify the population and the exposure status (exposed/not exposed groups)

Follow them into the future

for the development of the

disease Investigator−

Spends a relatively short time to assemble study population (and the exposed/not exposed groups) from past data

Will spend additional time following them into the future for the development of disease

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Example of a Prospective Cohort Study: Framingham Study

Prospective

1948

Disease No

disease

Exposed

Disease No

disease

Not

exposed

N o n -

r a n d o m i z e d

Defined Framingham study population

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Framingham Study

Objectives

To study the impact of several factors on incidence of cardiovascular diseases

Exposures

Blood pressure, smoking, body weight, diabetes, exercise, etc.

Multiple Outcomes

Coronary heart disease, stroke, congestive heart failure, peripheral arterial disease

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Framingham Study as a Cohort Study

The study started with a defined population−

Investigators (USPHS and NHLBI) started by identifying a new population and did not use existing data to identify the population and the exposure groups

There were several hypotheses to be tested−

Different exposures and different outcomes

For each exposure, investigators identified the “exposed” and the “not exposed” groupsFor each exposure, the participants were followed for the development of diseaseDifferent exposures were studied, as well as different diseases

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Derivation of the Framingham Study Population

* CHD = coronary heart disease

Men Women Total

Random sample3074 3433 6507

Respondents 2024 2445 4469

Volunteers 312 428 740

Respondents free of CHD*

1975 2418 4393

Volunteers free of CHD 307 427 734

Total Free of CHD 2282 2845 5127

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Follow-Up of Participants

Risk factors and the development of cardiovascular events were evaluated every two years by medical history, medical record review, and physical examinationAll diagnoses were verified without knowledge of risk factors by Framingham examiners who reviewed medical records and death certificatesApproximately three percent of the subjects were lost to follow-up for mortality during the first 45 years of the study

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Timeline of Milestones from the Framingham Study

1948: start of the Framingham Heart Study1960: cigarette smoking found to increase risk of heart disease1961: cholesterol, blood pressure, and ECG abnormalities found to increase risk of heart disease1965: first Framingham Heart Study report on stroke1967: physical activity found to reduce risk of heart disease; obesity to increase the risk1970: high blood pressure found to increase the risk of stroke1974: diabetes found to be associated with cardiovascular diseaseMore milestones: www.framingham.com/heart/timeline.htm

http://www.framingham.com/heart/timeline.htm

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Book

A Change of Heart: How the People of Framingham, Massachusetts, Helped Unravel the Mysteries of Cardiovascular Disease

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Average Annual Incidence of Coronary Heart Disease by Weight, Gender, and Age Group

Men

Women

40-49 50-59 60-69 70-79

Age group

0

10

20

30

0

10

20

Above median weight

Below median weight

Rate

per

1,0

00

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Average Annual Incidence of Coronary Heart Disease by Systolic Blood Pressure

<120 120–139 140–159 160–179

Systolic blood pressure, mm Hg

0

5

10

15

20

25

30Ra

te p

er 1

,000

180+

MenWomen

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CHD Risk Assessment Based on Relationship Between HDL and LDL Cholesterol Men 50–70 Years

0

1

2

3

100 160 220

LDL cholesterol (mg/dl)

Average risk

Rela

tive

Risk

HDL < 26 mg/dlHDL < 56 mg/dlHDL < 86 mg/dl

Source: Kannel

WB. CHD Risk Factors: a Framingham Study Update. Hosp Pract

(Off Ed)

1990;25:119-127.

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Types of Potential Bias in Cohort Studies

Selection bias−

Select participants into exposed and not exposed groups based on some characteristics that may affect the outcome

Information bias−

Collect different quality and extent of information from exposed and not exposed groups

Loss to follow-up differs between exposed and not exposed (or between disease and no disease)

Misclassification bias−

Misclassify exposure status or disease status

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When Is a Cohort Study Warranted?

When the (alleged) exposure is knownWhen exposure is rare and incidence of disease among exposed is high (even if the exposure is rare, determined investigators will identify exposed individuals)When the time between exposure and disease is relatively shortWhen adequate funding is available When the investigator has a long life expectancy

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Review

What are the differences in the study design between prospective cohort study and retrospective cohort study?What are the differences in the study design between randomized clinical trial study and cohort study?Why is cohort study preferred for studying rare exposure?