[HTML][HTML] An algorithm was developed to assign GRADE levels of evidence to comparisons within systematic reviews
A Pollock, SE Farmer, MC Brady, P Langhorne… - Journal of clinical …, 2016 - Elsevier
Journal of clinical epidemiology, 2016•Elsevier
Objectives One recommended use of the Grading of Recommendations Assessment,
Development and Evaluation (GRADE) approach is supporting quality assessment of
evidence of comparisons included within a Cochrane overview of reviews. Within our
overview, reviewers found that current GRADE guidance was insufficient to make reliable
and consistent judgments. To support our ratings, we developed an algorithm to grade
quality of evidence using concrete rules. Methods Using a pragmatic, exploratory approach …
Development and Evaluation (GRADE) approach is supporting quality assessment of
evidence of comparisons included within a Cochrane overview of reviews. Within our
overview, reviewers found that current GRADE guidance was insufficient to make reliable
and consistent judgments. To support our ratings, we developed an algorithm to grade
quality of evidence using concrete rules. Methods Using a pragmatic, exploratory approach …
Objectives
One recommended use of the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach is supporting quality assessment of evidence of comparisons included within a Cochrane overview of reviews. Within our overview, reviewers found that current GRADE guidance was insufficient to make reliable and consistent judgments. To support our ratings, we developed an algorithm to grade quality of evidence using concrete rules.
Methods
Using a pragmatic, exploratory approach, we explored the challenges of applying GRADE levels of evidence and developed an algorithm to applying GRADE levels of evidence in a consistent and transparent approach. Our methods involved application of algorithms and formulas to samples of reviews, expert panel discussion, and iterative refinement and revision.
Results
The developed algorithm incorporated four key criteria: number of participants, risk of bias of trials, heterogeneity, and methodological quality of the review. A formula for applying GRADE level of evidence from the number of downgrades assigned by the algorithm was agreed.
Conclusion
Our algorithm which assigns GRADE levels of evidence using a set of concrete rules was successfully applied within our Cochrane overview. We propose that this methodological approach has implications for assessment of quality of evidence within future evidence syntheses.
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