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200126P - CASE CONTROL STUDY DESIGN

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Presented at CRC course KFMC  on January 26, 2020 11-12am by Prof Omar Hasan Kasule Sr Professor of Epidemiology and Bioethics, King Fahad Medical City. 


LEARNING OBJECTIVES:

• Definition and types of case-control studies.

• Design, strengths, and weaknesses of case-control studies.

• Selection of cases and controls.


Key Words and Terms:

• Case: selection, incident, prevalent

• Case-base

• Case-cohort

• Case-control

• Case-only

• Control, community control. Dead, friend, hospital, neighbor, relative

• Exposure odds ratio

• Matching, 1:1

• Matching, 1:many

• Matching, overmatch

• Population base


BASICS OF THE CASE CONTROL STUDY:

• Popular because of its low cost, rapid results, and flexibility. 

• Uses a small numbers of subjects. 

• Is used for disease (rare and non rare) as well as non disease situations. 

• Can be exploratory or definitive. 

• Is retrospective information on exposure (?cause of disease)


VARIANTS OF THE CASE CONTROL DESIGN:

• Case-base, 

• Case-cohort, 

• Case-only, crossover designs. 


CASE-BASE DESIGN:

• cases are all diseased individuals in the population

• controls are a random sample of disease-free individuals in the same base population. 


CASE-COHORT DESIGN (NESTED):

• Sampling from a cohort (closed or open).

• Cases and controls are selected from the same cohort

• blood and other biological specimens collected from the cohort at the start can be analyzed for exposure information when cases of disease appear. 


CASE-ONLY DESIGN:

• Used in genetic studies in which the control exposure distribution can be worked out theoretically. 

• No need to select controls because information about them is known theoretically.


CROSSOVER DESIGN:

• Used for sporadic exposures. 

• The same individual can serve as a case or as a control several times without any prejudice to the study. 


BASIC 2x2 TABLE FOR CASE-BASE STUDIES:


PUT A 2x2 TABLE HERE:

• The marginal totals, a+b and c+d, are fixed by design before data collection thus prevalence cannot be computed. 

• The basic statistical parameter is the odds ratio = ad/bc

• The source population for cases and controls must be the same. 


CASE SELECTION:

• Cases are sourced from clinical records, hospital discharge records, disease registries, data from surveillance programs, employment records, and death certificates. 

• Cases are either all cases of a disease or a sample thereof. 

• Only incident cases (new cases) are selected. 


SELECTION OF CONTROLS:

• Controls must be from the same population base as the cases and must be like cases in everything except having the disease being studied. 

• Information comparability between the case series and the control series must be assured. 

• Hospital, community, neighborhood, friend, dead, and relative controls are used. 

• There is little gain in efficiency beyond a 1:2 case control ratio unless control data is obtained at no cost. 


PREVENTION OF CONFOUNDING:

• Stratification

• Matching

• Restriction


SOURCE OF EXPOSURE INFORMATION:

• Interviews, 

• Hospital records, 

• Pharmacy records, 

• Vital records, 

• Disease registry, 

• Employment records, 

• Environmental data, 

• Genetic determinants, 

• Biomarkers, 

• Physical measurements, 

• Laboratory measurements. 


STRENGTHS OF THE CASE CONTROL DESIGN:

• Computation of the OR 

• Low cost, 

• Short duration, convenience for subjects because they are contacted/interviewed only once. 


WEAKNESSES OF THE CASE CONTROL DESIGN:

• OR is an approximation

• Prevalence cannot be computed because marginal totals are fixed in advance

• the time sequence between exposure and disease outcome is not clear

• vulnerability to bias (misclassification, selection, and confounding),