Case Control Study

Case Control Study


DEFINITION:

  • A case control study involves two populations – cases and controls and has three distinct features : 
    •  Both exposure and outcome have occurred before the start of the study. 
    •  The study proceeds backwards from effect to cause(Retrospective) 
    •  It uses a control or comparison group to support or refute an inference.
DESGIN:
  • The investigator selects cases with the disease and appropriate controls without the disease and obtains data regarding past exposure to possible etiologic factors in both groups. 
  • The investigator then compares the frequency of exposure of the two groups.
  • Hallmark of Case Control Study: Starts from cases and controls and searches for exposure.
  CASES

(With disease)

CONTROL

(Without disease) 

Were Exposed a b
Were Not Exposed c d
Totals a+c b+d
Proportions Exposed a/a+c b/b+d
 
SELECTION OF CASE & CONTROL:

Selection of CASES:
  • Representativeness: 
    • Random sample of all cases of interest in the source population (e.g. from vital data, registry data). 
    • Selection of available cases from a medical care facility. (e.g. from hospitals, clinics)
    • Information: Collected from cases themselves, or from a respondent by proxy (relative/ friend), from records or a combination of the above.
  •  Method of Selection:
    •  From incidence or prevalence case: 
      •  Incident cases:Ongoing ascertainment of cases over time. 
      •  Prevalent cases : Crosssectional survey.
    • Selection of INCIDENT CASES is OPTIMAL. 
      •  All newly diagnosed cases over a given period of time in a defined population. 
      •  Excludes patients who died before diagnosis.  
      • Prevalent cases 
        •  So patients who recovered early and those who died will not be included. 
        • Additional protection against bias by including deceased cases as well as those alive
    • Diagnostic criteria for case studies 
      • Specificity 
      • Diagnostic bias 
      •  Validation
Selection of CONTROLS: 
  • Comparability vs Representativeness:
    • Similar to the cases in all respects other than having the disease i.e. COMPARABLE 
    • Representative of all non-diseased people in the population from which the cases are selected i.e. REPRESENTATIVE
  • Representative of the general population in terms of probability of exposure to the risk factor 
  • They should also have had the same opportunity to be exposed as the cases have.
  • Criteria:
    • Comparability is more important than representativeness in the selection of controls 
    •  The control should be at risk of the disease 
    •  The control should resemble the case in all respects except for the presence of disease
  • Sources:
    • Hospital based
    • Population based (registry cases)
    • Neighbourhood controls/ Telephone exchange random dialing
    • Best friend control/ Sibling control
  • Number:
    • Large study: Cases: Control :: 1:1 
    •  Small study: Cases: Control :: 1:2, 1:3, 1:4. 
    •  Use of multiple controls
  • Types:
    • Controls of same type:Cases: Control :: 1:1
    • Multiple controls of different types: controls- 1 hospital, 1 neighborhood 
  • Objectives:
    • Elimination of selection bias – Selection 
    •  Minimization of information bias – Blinding 
    •  Minimization of confounding – Matching
BIAS IN CASE CONTROL STUDY:
  • Selection bias
  • Information bias:
    • Recall bias 
    •  Interviewer bias
  • Confounding bias

OUTCOMES OF CASE CONTROL STUDY:
  • Exposure rates:
    • The frequency of exposure to suspected risk factor in cases and in controls
    • Exposure rates:
      • Cases = a/ (a + c)
      • Controls = b/ (b + d)
  • Estimation of disease risk associated with exposure: (Odds ratio)
    • Odds Ratio / Relative odds (estimate of relative risk)
    • Odds ratio=Odds that case was exposed/Odds that control was exposed=  (a/c)/ (b/d)
    • Odds ratio ( = cross products ratio) can also be viewed =Product of the two cells that support the hypothesis of an association/product of the two cells which negate the hypothesis of an association= ad/bc
ADVANTAGES:
  • Uncover etiology in rare diseases 
  • Understanding new diseases 
  • Commonly used in outbreaks investigation 
  • Useful if inducing period is long 
  • Relatively inexpensive
  • Causal association factors can be revealed 
DISADVANTAGES:
  • Susceptible to bias
  • Exposure misclassification
  • Single outcome
  • Incidence rates not usually calculate
  • Cannot assess effects of matching variables
 
NESTED CASE CONTROL STUDY:
  • Also k/as  Prospective case-control study
  • Cases and controls are drawn from the population in a fully enumerated cohort.
  • Used when exposure of interest is difficult or expensive to obtain and when the outcome is rare. 
  • Cases and controls are developed during follow up. 
  • Exposure frequencies are compared by the data collected at the start of study.
  • Advantages:
    • Time and cost of beginning a new case–control study is avoided. 
    • Recall bias eliminated
    • Exposure data are more likely to represent the preillness state
    • Avoids problems (in study design) related to  Temporal association
  • By only measuring the covariate in as many participants as necessary, the cost and effort of exposure assessment is reduced.
Image result for NESTED CASE CONTROL
 

Exam Important

  • Recall bias is most commonly associated with  Case control study
  • Nested case control study is a type of Prospective study
  • Odds ratio can be calculated in case control study
  • Case control study are Relatively cheap
  • Case control study Used for rare diseases
  • Case control study proceeds from effect to cause
  • Exposure already occur in case control study
  • Risk factor can be identified using case control study
  • There is no risk to subjects in case control study
  • In a case control study, the most characteristic feature is Odds ratio estimation 
  • In case control study, the risk is calculated by Cross product ratio
  • Possible to study many diseases in case control study
  • Direction of study is reverse but time is forward in case control study
  • As compared to a routine case control study, nested case control study avoids problems (in study design) related to  Temporal association
  • Causal association factors can be revealed by Case control study
  • Matching is method to eliminate confounding bias used in  Case control study
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