case control studies
TRANSCRIPT
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CASE CONTROL STUDIES
Dr Manish Chandra PrabhakarMGIMS
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Case control study= retrospective study=case referent study
Purpose:1- study the association between disease
and one or more exposure factors2- confirmation of new hypothesis
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Design:
Two groups are compared 1- the group of cases, defined according to
the presence of the disease2- the group of controls defined according
to the absence of the disease
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Cases: Defined as having the disease( the
working definition of the disease should be set)
Selected to represent all the population of cases in the community (inclusion of mild cases or severe cases only is not representative of the whole spectrum of the disease
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Cases:
Should have some reasonable probability of having had their diseases induced by the exposure under study. Ex:
In studying the association between oral contraceptive (OC) and deep venous thrombosis (DVT), cases with post-operative DVT should not be included
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Cases:
Should have been at potential risk of exposure to the factor under study:
ex.: unmarried , hyterectomized, or women with contraindications for OC are not eligible for the above study
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Cases: Should better be newly diagnosed
(incident cases):
-To avoid to be missed in the selection as in short course diseases and diseases with high fatality
- To avoid recall bias- Ambiguity of temporal relationship
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Cases:
Should have a reasonable probability of homogeneity of etiology:
Ex.: in studying lung cancer and smoking, squamous cell type (RR=30-40) is not homogenous with adenocarcinoma (RR=3-4)
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Cases:
Source may be -the hospital-Disease registries-Records-Community survey
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Controls:
Similar to cases in everything except the disease under the study
Must have a similar chance of exposure compared to cases
Source may be :general population, neighbors, friends of cases
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Controls: Number of control per case- 1/1 when cases are easy to find at no
extra cost- >1/1 when the number of cases is
limited up to 4/1 Number of control groups- Usually one group- If the control group is suspected to
have a specific bias a second group might be used to increase validity
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Controls: Matching may be used to ensure equal
distribution in the two groups of factors that might affect the studied relationship
Assessment of exposure is done in both groups (case and control) using the same maneuver
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+E
-E retrospective assessment of exposure
+E -E
+Cases (D)
- Controls (D)
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Analysis of case control studies:
total Non-exposed
exposed
A+B100
B20
A80
Cases (D +)
C+D100
D70
C30
Control (D -)
A+C+ B+D
200
B+D90
A+C110
total
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Odds ratio (OR)
1- The probability that a case was exposed previously is estimated by
The case exposure probability= exposed cases all cases = A/A+B = 80/100
2-The probability that a case was not exposed previously is estimated by
cases not exposed all cases =B/A+B= 20/100
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Odds ratio (OR)
The odds of exposure of cases = exposed cases cases not exposed
all cases all cases
= A/A+B =A/B= 80/20=4 B/A+B
The odds of exposure of controls =C/D= 30/70=0.4
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Odds ratio (OR)
The odds ratio is the odds of exposure for cases divided by the odds of exposure for controls=
A/B = AD/BC= 70x80/20x30=56/6=9.3C/D
This represents the degree of association between the disease and exposure under investigation
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Advantages of case- control studies
Feasibility: short time and costs Confirms a new hypothesis Most suitable for the studying of rare
diseases High statistical efficiency due to equal
groups
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Problems: Misclassification: this is the placement
of a study subject in an improper cell in the 2x2 table
- misclassification of disease ex. Classify case as disease or the reverse will lead to underestimate the OR
Classification of exposure
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Problems: Selection bias: this may be encountered in
either cases or controls:- Selection of cases from the hospital may
lead to:1- missing all cases that didn’t need hospital
care (mild cases)2- missing all cases that are not able to reach
the hospital( died – lack of money…)3- lack of representation of cases referred from
wide areas to a specialized center
- Selection of controls from the hospital lead to lack of representation because the hospital population is different from the general population (higher exposure to many risk factors)
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Problems: Difficult in selection of proper control
group Recall bias Uncertainty of temporal relationship
between exposure and outcome specially in chronic diseases of insiduous onset