Cohort studies allow an exploration of patient change over time. They can p
rovide information on the incidence of disease, prognosis (including patien
t satisfaction) and likely health-care resource use. Nonetheless, bias can
be present in cohort studies in the way patients are selected and followed-
up, the way measures are taken, or the way data are analysed. This short pa
per explores ways in which such flaws can be uncovered in published studies
, so that their findings can be interpreted appropriately.