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GRADE guidance 36: updates to GRADE's approach to addressing inconsistency
Gordon Guyatt1, Yunli Zhao2, Martin Mayer3
1Department of Health Research Methods, Evidence, and Impact, McMaster University, Ontario, Canada; Department of Medicine, McMaster University, Ontario, Canada.
This updated guidance refines the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach for assessing inconsistency in treatment effect estimates. It clarifies inconsistency assessment and the credibility of effect modifiers in systematic reviews.
Area of Science:
- Clinical epidemiology
- Health technology assessment
- Evidence-based medicine
Background:
- Previous Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidance requires updates to address inconsistencies.
- Systematic review authors face challenges in interpreting variability in treatment effect estimates across studies.
Purpose of the Study:
- To update existing GRADE guidance on assessing inconsistency and interpreting subgroup analyses.
- To provide clarifications on assessing the credibility of effect modifiers.
Main Methods:
- An iterative process involving the GRADE working group through written feedback and meetings.
- Consultation with GRADE working group members.
Main Results:
- Clarified that inconsistency refers to variability in results, not study characteristics.
- Guidance on assessing inconsistency for binary outcomes using relative and absolute effects.
- A stepwise process for assessing the credibility of effect modification analyses and subgroup-specific estimates.
Conclusions:
- The updated guidance addresses practical issues faced by systematic review authors regarding inconsistency in treatment effect estimates.
- This update enhances the GRADE approach for evaluating evidence certainty.
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