Annals of internal medicine · 2025
GRADE Guidance: Using Thresholds for Judgments on Health Benefits and Harms in Decision Making (GRADE Guidance 42).
СтатьяКлинические рекомендацииНазвание и аннотация: Перевод в очереди
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Wiercioch Wojtek, Morgano Gian Paolo, Piggott Thomas, Nieuwlaat Robby, Neumann Ignacio, Sousa-Pinto Bernardo, Alonso-Coello Pablo, Akl Elie A, Mbuagbaw Lawrence, Mirzayev Fuad, Moja Lorenzo, Mustafa Reem, Piovani Daniele, Parmelli Elena, Saz-Parkinson Zuleika, Schumacher Samuel G, Verstijnen Ilse, Bonovas Stefanos, Schünemann Holger J
Аннотация
Users of GRADE (Grading of Recommendations Assessment, Development and Evaluation) make judgments about the size of intervention effects on desirable and undesirable people-important health outcomes or on benefits and harms. Benchmarking effect sizes by using decision thresholds (DTs) can help to facilitate these judgments and the process. This article provides GRADE guidance for use of DTs for judgments about the magnitude of desirable and undesirable health effects, such as in a health guideline or health technology assessment. Through iterative discussions and refinement in in-person and online meetings of a GRADE project group and through e-mail communication, the authors developed guidance for using DTs in Evidence-to-Decision (EtD) frameworks. The authors applied the approach and used these examples from guidelines and the results of a randomized methodological study to develop official GRADE guidance. Several alternatives for determining and using DTs are presented. In the first main approach, outcome-specific DTs for trivial, small, moderate, and large effects are determined through a calculation using empirically derived generic coefficients and the outcome's utility value and are compared with the effect estimate obtained from an evidence synthesis. In the second main approach, outcome-specific DTs are also determined, but through direct surveying of decision makers to explicitly assign thresholds for the prioritized health outcomes. The article also describes how these approaches can be combined. The suggested approaches provide transparency for judgments in EtD frameworks that are based on findings from evidence syntheses.