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GRADE Guidelines: 19. Assessing the certainty of evidence in the importance of outcomes or values and preferences—Risk of bias and indirectness

  • Yuan Zhang
  • , Pablo Alonso-Coello
  • , Gordon H. Guyatt
  • , Juan José 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
  • , 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

Research output: Contribution to journalArticlepeer-review

199 Scopus citations

Abstract

Objectives: The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) working group defines patient values and preferences as the relative importance patients place on the main health outcomes. We provide GRADE guidance for assessing the risk of bias and indirectness domains for 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to rate the certainty of evidence in the importance of outcomes to several systematic reviews, iteratively reviewed draft guidance and consulted GRADE members and other stakeholders for feedback.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: This is the first of two articles. A body of evidence addressing the importance of outcomes starts at “high certainty”; concerns with risk of bias, indirectness, inconsistency, imprecision, and publication bias lead to downgrading to moderate, low, or very low certainty. We propose subdomains of risk of bias as selection of the study population, missing data, the type of measurement instrument, and confounding; we have developed items for each subdomain. The population, intervention, comparison, and outcome elements associated with the evidence determine the degree of indirectness. Conclusion: This article provides guidance and examples for rating the risk of bias and indirectness for a body of evidence summarizing the importance of outcomes.

Original languageEnglish
Pages (from-to)94-104
Number of pages11
JournalJournal of Clinical Epidemiology
Volume111
DOIs
StatePublished - Jul 2019

Keywords

  • GRADE
  • Importance of outcomes
  • Indirectness
  • Quality of evidence
  • Risk of bias
  • Value and preference

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