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GRADE guidelines: 20. Assessing the certainty of evidence in the importance of outcomes or values and preferences—inconsistency, imprecision, and other domains

  • Yuan Zhang
  • , Pablo Alonso Coello
  • , Gordon H. Guyatt
  • , Juan Jose Yepes-Nuñez
  • , Elie A. Akl
  • , Glen Hazlewood
  • , Hector Pardo-Hernandez
  • , Itziar Etxeandia-Ikobaltzeta
  • , Amir Qaseem
  • , John W. Williams
  • , Peter Tugwell
  • , Signe Flottorp
  • , Yaping Chang
  • , Yuqing Zhang
  • , Reem A. Mustafa
  • , María Ximena Rojas
  • , Feng Xie
  • , Holger J. Schünemann
  • McMaster University
  • Centro de Investigación Biomédicaen Red de Epidemiología y Salud Pública (CIBERESP)
  • American University of Beirut
  • University of Calgary
  • American College of Physicians
  • Durham Veterans Affairs Medical Center and Duke University
  • University of Ottawa
  • Norwegian Institute of Public Health
  • University of Oslo
  • University of Kansas
  • Universidad Javeriana
  • Program for Health Economics and Outcome Measures (PHENOM)

Research output: Contribution to journalArticlepeer-review

233 Scopus citations

Abstract

Objective: To provide Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) guidance for assessing inconsistency, imprecision, and other domains for the certainty of evidence about the relative importance of outcomes. Study Design and Setting: We applied the GRADE domains to rate the certainty of evidence in the importance of outcomes to several systematic reviews, iteratively reviewed draft guidance, and consulted GRADE members and other stakeholders for feedback. Results: We describe the rationale for considering the remaining GRADE domains when rating the certainty in a body of evidence for the relative importance of outcomes. As meta-analyses are not common in this context, inconsistency and imprecision assessments are challenging. Furthermore, confusion exists about inconsistency, imprecision, and true variability in the relative importance of outcomes. To clarify this issue, we suggest that the true variability is neither equivalent to inconsistency nor imprecision. Specifically, inconsistency arises from population, intervention, comparison and outcome and methodological elements that should be explored and, if possible, explained. The width of the confidence interval and sample size inform judgments about imprecision. We also provide suggestions on how to detect publication bias and discuss the domains to rate up the certainty. Conclusion: We provide guidance and examples for rating inconsistency, imprecision, and other domains for a body of evidence describing the relative importance of outcomes.

Original languageEnglish
Pages (from-to)83-93
Number of pages11
JournalJournal of Clinical Epidemiology
Volume111
DOIs
StatePublished - Jul 2019

Keywords

  • GRADE
  • Importance of outcomes
  • Imprecision
  • Inconsistency
  • Publication bias
  • Quality of evidence
  • Value and preference

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