GET-IT Glossary
  

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Top Ten terms

  1. cut-off value (cut-off point, cut point, threshold) — 54644 views
    “For diagnostic or screening tests, the value used to divide continuous results into categories; typically positive and negative” … (read more)
  2. summary of findings (iSoF, interactive summary of findings) — 38090 views
    “A table summarising key information about the most important treatment outcomes, including a summary of the results and the certainty of the evidence” … (read more)
  3. index test — 36191 views
    “A diagnostic test that is being evaluated against a reference standard test in a study of test accuracy” … (read more)
  4. performance bias — 20890 views
    “Bias resulting from differences in the care provided to the participants in a study, other than the treatments being compared.” … (read more)
  5. length-time bias (length bias) — 18581 views
    “In screening, an apparent increase in survival due to detecting disease earlier than it would otherwise have been detected” … (read more)
  6. randomized study (randomized control trial, RCT, randomized trial, randomized controlled trial (should not be used)) — 18055 views
    “A category of studies comparing two or more treatments in which random allocation is used to assign participants to treatment comparison groups” … (read more)
  7. effect estimate (effect size, estimate of effect, point estimate) — 17802 views
    “A statistical measure indicating the most likely size of a treatment effect” … (read more)
  8. baseline characteristics (baseline data) — 17474 views
    “Descriptive information about the participants in a study collected at the beginning of the study” … (read more)
  9. reference standard test (gold standard, reference test) — 17118 views
    “The best available method of determining whether people have a condition” … (read more)
  10. systematic review — 17112 views
    “A summary of studies addressing a clear question, using systematic and explicit methods to identify, select, and critically appraise relevant studies, and to collect and analyse data from them” … (read more)