Table 1

Checklist for the assessment of methodological quality of cross-sectional studies, case–control studies and prospective cohort studies

Study type
Study objective
 1. Positive, if the study had a clearly defined objectiveCS/CC/PC
Study population
 2. Positive, if the main features of the study population are described (sampling frame and distribution of the population according to age and sex)CS/CC/PC
 3. Positive, if cases and controls are drawn from the same population and a clear definition of cases and controls is given and if participants with the disease/symptom in the past 3 months are excluded from the control groupCC
 4. Positive, if the participation rate is at least 80% or if the participation rate is 60–80% and the non-response is not selective (data shown)CS/CC/PC
 5. Positive, if the participation rate at the main moment of follow-up is at least 80% or if the non-response is not selective (data shown)PC
Outcome measurements
 6. Positive, if data on history of the disease/symptom are collected and included in the statistical analysisCS/CC/PC
 7. Positive, if the outcome is measured in an identical manner among cases and controlsCC
 8. Positive, if the outcome assessment is blinded with respect to disease statusCS/CC
 9. Positive, if the outcome is assessed at a time before the occurrence of the disease/symptomCC
Assessment of the outcome
 10. Positive, if the time period in which the assessment of disease/symptom was based was at least 1 yearPC
 11. Method for assessing injury status: physical examination blinded to exposure status (+); self-reported: specific questions relating to symptoms/disease/use of manikin (+), single question (−)CS/CC/PC
 12. Positive, if incident cases were included (prospective enrolment)CC
Analysis and data presentation
 13. Positive, if the measures of association estimated were presented (OR/RR), including CI and numbers in the analysisCS/PC/CC
 14. Positive, if the analysis is controlled for confounding or effect modification: individual factorsCS/PC/CC
 15. Positive, if the analysis is controlled for confounding or effect modification: other factorsCS/PC/CC
 16. Positive, if the number of cases in the final multivariate model was at least 10 times the number of independent variables in the analysisCS/PC/CC
  • Reproduced from: van der Worp et al,25 with permission from BMJ Publishing Group Ltd.

  • CC, case–control study; CS, cross-sectional study; PC, prospective cohort study.