Cohort Study

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COHORT STUDY Dr Manish Chandra Prabhakar MGIMS Sewagram

Transcript of Cohort Study

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COHORT STUDY

Dr Manish Chandra PrabhakarMGIMS Sewagram

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Cohort studieslongitudinal Prospective studiesForward looking study IIncidence studyFollow up study

starts with people free of disease assesses exposure at “baseline”assesses disease status at “follow-up”

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Cohort studies

Purpose:- Study of the association between an

exposure factor and one or more diseases outcomes

- Confirmation of hypothesis (a step further towards causation)

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• Cohort study is undertaken to support the existence of association between suspected cause and disease

A major limitation of cross-sectional surveys and case-control studies is difficulty in determining if exposure or risk factor preceded the disease or outcome.

Cohort Study:

Key Point:

Presence or absence of risk factor is determined before outcome occurs.

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INDICATION OF A COHORT STUDY

When there is good evidence of exposure and disease.

When exposure is rare but incidence of disease is higher among exposed

When follow-up is easy, cohort is stable When sample funds are available

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Design:

Two groups are studied:- Study group (cohort- Control group

Defined according to the presence or the absence of the exposure under

investigation

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Study group (cohort)

Defined as those who:- Have the exposure factor under the study

(working definition of the exposure should be set)

- Are free from the disease or outcome under study and,

- Are at risk of developing this disease or outcome

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Study group (cohort)

Selected to represent all the population of exposed individuals

Source of selection may be;-workplace-Registries- Hospital records- community

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WHAT IS COHORT

Ancient Roman military unit, A band of warriors.

Persons banded together. Group of persons with a common

statistical characteristic. [Latin]

.

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Control group Similar to the study group in everything

except the exposure under the study Must have a similar chance of the

occurrence of the outcome, compared to the study group

Source: general pop., neighbors, friends of cases, hospital…

Matching of factors that might affect the studied relationship (confounding factors)

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After selection of the two groups

Baseline information should be obtained from members of the two groups. This information includes:

- Exposure factor: to ensure its presence in the study group and its absence in the control group

- Outcome: to ensure its absence in both groups

- Confounding factors: to assess their presence and level

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Follow up A rigorous system of follow up should be

planned and implemented to avoid losses The same follow-up maneuver should be

done in both groups In each follow-up, subjects are assessed

for the occurrence of the outcome under study (endpoint) which must be:

- objectively measurable (hard point) - specific -validAscertainment of exposure status in each

follow-up visit

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Follow up

The period of follow-up is determined by the nature of the expected outcome and its latency from the exposure, it should be:

- not too short: no enough time for the outcome to occur

- not too long: probability of the occurrence in the control group

approaches that in the study group

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Follow up (historical(

disease

historical follow-up

Control group no disease

Past (1945)

Start

FU

TimeOf

The study

Today 2007

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Follow up (concurrent)

Time

Of The stu

dy

Start

FU

Concurrent FU

disease

No disease

Future

2010

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In either study

Identification and classification of cohort is based on exposure status

Disease is not present at the start of FU Follow-up is in the direction of the natural

history of the disease

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ANALYSIS

Calculation of incidence rates among exposed and non exposed groups

Estimation of risk

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Incidence rates of outcome

a+b+c+d

dc

ba

Diseased Not diseased

Yes

No

a+b

c+d

b+d a+c

Total

Control (not exposed)

Study cohort

(exposed)

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Incidence rates

Incidence rate among exposed=Ie = a/a+b Incidence among unexposed=Iu = c/c+d

Total incidence= a+c/a+b+c+d

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Estimation of risk= measures the strength of association between exposure and outcome

Relative Riskincidence of disease among exposed

RR = ______________________________Incidence of disease among non-

exposeda/a+b

= _________c/c+d

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Attributable Risk( measures the absolute increase in the risk of disease due to exposure)

Attributable Risk

Incidence of disease among exposed – incidence of disease among non exposed

AR = _______________________________Incidence of disease among exposed

a/a+b – c/c+dAR = _______________

a/a+b

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Smoking Lung cancer Total

YES NO

YES 70 6930 7000

NO 3 2997 3000

73 9927 10000

Find out RR and AR for above data

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Incidence of lung cancer among smokers70/7000 = 10 per 1000

Incidence of lung cancer among non-smokers

3/3000 = 1 per thousandRR = 10 / 1 = 10

(lung cancer is 10 times more common among smokers than non smokers)

AR = 10 – 1 / 10 X 100= 90 %

(90% of the cases of lung cancer among smokers are attributed to their habit of smoking)

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Cohort studies Strengths We can find out

incidence rate and risk

More than one disease related to single exposure

can establish cause - effect

good when exposure is rare

minimizes selection and information bias

Weaknesses losses to follow-up often requires large

sample ineffective for rare

diseases long time to

complete expensive Ethical issues Status change with

long follow up Change in diagnosis

along FU