6 - Case control studies Flashcards
Case-control study
Observational study on individuals, which compares past ‘exposures’ of those with and without disease
Rare events - cohort or case-control?
Impractical to study rare outcomes n cohort study as would need to be huge - case-control is good for rare events as can select individuals know to have the disease already
Considerations when selecting cases
Clear case definition needed
Potential sources - routine testing, notification, registration, case-finding
Considerations when selecting controls
Supposed to represent the target population - give an estimate of the expected level of exposure
Must represent the same population as the cases
Must be at risk of being a case
Can select from the population, hospital, or rest of cohort (in nested designs)
What measure of disease frequency in case-control study
None! Proportion of diseased individuals is set by the design
(unless nested case-control within cohort - could calculate incidence)
Why do a Nested Case-Control?
Cost-effective approach for large cohorts
for example:
* Use of baseline biological material (Blood samples, DNA)
– finite resource and often expensive to analyse
* Further data needs to be gathered on those who
develop the disease of interest.
– Additional exposure data may need to be acquired
– May be costly in terms of time and money
Case-cohort design
Cohort study
Pre-select a subset of the cohort - more detailed follow up from the outset
Use this group as the controls for multiple case sets
Purpose of matching
Assures comparable distribution of known confounders among cases and controls
Multiple matched controls per case can increase power
Cautions when matching
Effects of matched factors cannot be estimated
Can restrict control selection (not enough farms exist!)
Overmatching - can make cases and controls too similar so no differences
What measures can be calculated from case-control?
Odds of exposure (prevalence of Exposure in each group)
Odds ratio measures strength of association
(read down columns of disease status - prevalence of disease is fixed by study design)
What measures can be calculated from cohort study?
Cumulative incidence (risk), incidence rate, relative risk.
Read across rows - compare incidence - RR
Odds calculation
Odds of exposure in cases = A/C (both over A+C- cancel out)
Odds of exposure in controls = B/D (both over B+D - cancel out)
Odds Ratio = A/C / B/D = AD/BC
Interpreting odds ratio
Case control determines the rate of exposure among diseased / non diseased groups
Interpretation strictly is the odds of an individual with X (disease) having been exposed to Y (exposure) are A times higher than that of a control
Often read as the odds of an individual with Y (exposure) having X (disease) are A times higher than without
Reverse causality bias
Ordering of events can be unclear
Can try to disregard exposure shortly before diagnosis eg T2DM diagnosis vs antibiotics
Selection bias
Systematic difference in characteristics between study participants and the population from which they were selected, or between groups compared within the study (e.g. cases and controls)
eg deprived patients less likely to participate, more likely lost to follow up