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200126P - CASE-CONTROL STUDY DESIGN

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Presented at CRC course held at King Fahad Medical City, Riyadh on 26 January 2020. 09:00 am - 10:00 am by Professor Omar Hasan Kasule Sr. MB ChB (MUK), MPH (Harvard), DrPH (Harvard), Chairman of the KFMC IRB


LEARNING OBJECTIVES:

• Definition and types of case-control studies.

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

• Selection of cases and controls. 


KEYWORDS 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 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 control several times without any prejudice to the study. 


BASIC 2x2 TABLE FOR CASE-BASE STUDIES

• 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).