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. Author manuscript; available in PMC: 2012 Sep 28.
Published in final edited form as: Ann Intern Med. 2007 Jan 16;146(2):133–141. doi: 10.7326/0003-4819-146-2-200701160-00008

Table 1.

Strength of Evidence Hierarchy*

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).