Inclusion and exclusion criteria
In a clinical trial, the investigators must specify inclusion and exclusion criteria for participation in the study.
Inclusion and exclusion criteria define the characteristics that prospective subjects must have if they are to be included in a study. Although there is some unclarity concerning the distinction between the two, the on reporting clinical studies suggests that
- Inclusion criteria concern properties of the target population, defining the population to which the study's results should be generalizable. Inclusion criteria may include factors such as type and stage of disease, the subject’s previous treatment history, age, sex, race, ethnicity.
- Exclusion criteria concern properties of the study sample, defining reasons for which patients from the target population are to be excluded from the current study sample. Typical exclusion criteria are defined for either ethical reasons, to overcome practical issues related to the study itself, or to eliminate factors that may limit the interpretability of study results. Exclusion criteria may lead to biases in the study's results.
Exclusion criteria
- Any criteria unless the condition or intervention is specific to the criterion, or the criterion has a direct bearing on condition/intervention/results.
- Unable to provide informed consent
- Placebo or intervention would be harmful
- Lack of equipoise
- Effect of intervention difficult to interpret
- Individual may not adhere
- Individual may not complete follow up
- Individuals do not have reliable information
Example of inclusion and exclusion criteria
Include criteria:
- Minimum outcomes: coronary deaths & non-fatal myocardial infarction
- Appropriate measures of Framingham variables
- Cohort, nested case-control, cardiovascular trial follow-up study that measures a novel risk factor and estimates its predictive value after adjusting for Framingham variables
- No data
- Population or sub-population with known coronary disease or coronary disease equivalent
- Does not include minimum outcomes
- Does not measure Framingham variables appropriately
- Wrong study design/article format