Table 1.
Study design |
Level 1: Evidence obtained from at least 1 properly designed randomized, controlled trial† |
Level 2-1: Evidence obtained from well-designed controlled trials without randomization |
Level 2-2: Evidence obtained from well-designed cohort or case–control analytic studies, preferably from more than 1 center or research group |
Level 2-3: Evidence obtained from multiple time series with or without the intervention |
Level 3: Opinions of respected authorities, based on clinical experience, descriptive studies and case reports, or reports of expert committees |
Internal validity |
Good: Meets all criteria for study design |
Fair: Does not meet all criteria for study design but is judged to have no fatal flaw that invalidates its results |
Poor: Study contains a fatal flaw |
Criteria |
Systematic reviews |
Comprehensiveness of sources/search strategy used |
Standard appraisal of included studies |
Validity of conclusions |
Recency and relevance |
Case–control studies |
Accurate assessment of cases |
Nonbiased selection of cases/controls with exclusion criteria applied equally to both |
Response rate |
Diagnostic testing procedures applied equally to each group |
Appropriate attention to potential confounding variables |
Randomized, controlled trials |
Initial assembly of comparable groups (concealment and distribution of potential confounders) |
Maintenance of comparable groups (includes attrition, crossovers, adherence, contamination) |
Important differential loss to follow-up or overall high loss to follow-up |
Measurements: equal, reliable, and valid (includes masking of outcome assessment) |
Clear definition of interventions |
All important outcomes considered |
Intention-to-treat analysis |
Sample size/power |
Cohort studies |
Consideration of potential confounders; consideration of inception cohorts |
Adjustment for potential confounders |
Important differential loss to follow-up or overall high loss to follow-up |
Sample size/power |
External validity |
High: Meets criteria |
Low: Does not meet criteria |
Criteria |
Biological plausibility |
Similarities of the study sample to the target population (risk factor profile, demographics, ethnicity, sex, clinical presentation, and similar factors) |
Similarities of the test or intervention studied to those that would be routinely available or feasible in clinical practice |
Clinical or social environmental circumstances in the studies that could modify the results from those expected in a primary care setting |
Modified from the U.S. Preventive Services Task Force (4).
Observational studies qualify as level 1 if they are used to estimate a parameter that cannot be determined experimentally (for example, mortality rate due to age-, sex-, and race-related causes).