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

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

Journal

Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383

Informations de publication

Date de publication:
07 2019
Historique:
received: 18 09 2017
revised: 23 03 2018
accepted: 03 05 2018
pubmed: 26 5 2018
medline: 6 5 2020
entrez: 26 5 2018
Statut: ppublish

Résumé

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. 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to rate the certainty of evidence in the importance of outcomes to several systematic reviews, iteratively reviewed draft guidance, and consulted GRADE members and other stakeholders for feedback. 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. We provide guidance and examples for rating inconsistency, imprecision, and other domains for a body of evidence describing the relative importance of outcomes.

Identifiants

pubmed: 29800687
pii: S0895-4356(17)31061-2
doi: 10.1016/j.jclinepi.2018.05.011
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

83-93

Subventions

Organisme : CIHR
Pays : Canada

Informations de copyright

Copyright © 2018. Published by Elsevier Inc.

Auteurs

Yuan Zhang (Y)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

Pablo Alonso Coello (PA)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Iberoamerican Cochrane Centre, CIBERESP-IIB Sant Pau, Barcelona, Spain.

Gordon H Guyatt (GH)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

Juan Jose Yepes-Nuñez (JJ)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

Elie A Akl (EA)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Department of Internal Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.

Glen Hazlewood (G)

Department of Medicine and Department of Community Health Sciences, University of Calgary, Calgary, Canada.

Hector Pardo-Hernandez (H)

Iberoamerican Cochrane Centre, CIBERESP-IIB Sant Pau, Barcelona, Spain.

Itziar Etxeandia-Ikobaltzeta (I)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

Amir Qaseem (A)

American College of Physicians, Philadelphia, PA, USA.

John W Williams (JW)

Center of Innovation for Health Services Research in Primary Care at the Durham Veterans Affairs Medical Center and Duke University, Durham, NC 27701, USA.

Peter Tugwell (P)

Department of Medicine, University of Ottawa, Ottawa, Canada.

Signe Flottorp (S)

Norwegian Institute of Public Health, Oslo, Norway; Institute of Health and Society, University of Oslo, Oslo, Norway.

Yaping Chang (Y)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

Yuqing Zhang (Y)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

Reem A Mustafa (RA)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Division of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA.

María Ximena Rojas (MX)

Department of Clinical Epidemiology and Biostatistics, Pontificia Universidad Javeriana, Bogotá, Colombia.

Feng Xie (F)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Program for Health Economics and Outcome Measures (PHENOM), Hamilton, Canada.

Holger J Schünemann (HJ)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Department of Medicine, McMaster University, Hamilton, Canada. Electronic address: schuneh@mcmaster.ca.

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