The GRADE Working Group clarifies the construct of certainty of evidence
Karolinska Institutet · Swedish Council on Technology Assessment in Health Care · +27 more institutions
Abstract
To clarify the grading of recommendations assessment, development and evaluation (GRADE) definition of certainty of evidence and suggest possible approaches to rating certainty of the evidence for systematic reviews, health technology assessments, and guidelines. STUDY DESIGN AND SETTING: This work was carried out by a project group within the GRADE Working Group, through brainstorming and iterative refinement of ideas, using input from workshops, presentations, and discussions at GRADE Working Group meetings to produce this document, which constitutes official GRADE guidance.
Certainty of evidence is best considered as the certainty that a true effect lies on one side of a specified threshold or within a chosen range. We define possible approaches for choosing threshold or range. For guidelines, what we call a fully contextualized approach requires simultaneously considering all critical outcomes and their relative value. Less-contextualized approaches, more appropriate for systematic reviews and health technology assessments, include using specified ranges of magnitude of effect, for example, ranges of what we might consider no effect, trivial, small, moderate, or large effects.
Citation impact
- FWCI
- 69.21
- Percentile
- 100%
- References
- 14
Authors
19- MHMonica HultcrantzCorresponding
Karolinska Institutet, Swedish Council on Technology Assessment in Health Care
- DMDavid M. Rind
Institute for Clinical and Economic Review, Harvard University, Beth Israel Deaconess Medical Center
- EAElie A. Akl
American University of Beirut, American University of Beirut Medical Center, Impact, McMaster University
- STShaun Treweek
University of Aberdeen
- RAReem A. Mustafa
Impact, University of Kansas Medical Center, McMaster University
Topics & keywords
- Certainty
- Grading (engineering)
- Brainstorming
- Systematic review
- Construct (python library)
- Guideline
- Management science
- Computer science
Funding
- OFOak FoundationAward: OCAY-13-309
- SGScottish GovernmentAwards: SPHSU13, SCAF/15/02, SPHSU15
- PIParker Institute for Cancer Immunotherapy
- UOUniversity of Aberdeen
- SBStatens beredning för medicinsk och social utvärdering
- CSChief Scientist Office, Scottish Government Health and Social Care DirectorateAwards: SPHSU15, SPHSU13, SCAF/15/02
- MRMedical Research CouncilAwards: MC_UU_12017/13, MC_UU_12017/13, MC_UU_12017/15, MC_UU_12017, SPHSU15, MC_UU_12017/15, SPHSU13