GRADE approach to drawing conclusions from a network meta-analysis using a partially contextualised framework

Brignardello-Petersen, Romina; Izcovich, Ariel; Rochwerg, Bram; Florez, Ivan D.; Hazlewood, Glen; Alhazanni, Waleed; Yepes-Nunez, Juan; Santesso, Nancy; Guyatt, Gordon H.; Schunemann, Holger J.; GRADE Working Grp

Abstract

This article describes GRADE (grading of recommendations assessment, development and evaluation) guidance on how to make conclusions from a network meta-analysis of interventions that includes individual randomised controlled trials for one outcome at a time. The guidance is based on a partially contextualised approach in which review authors must establish ranges of magnitudes of effect that represent a trivial to no effect, small but important effect, moderate effect, and large effect. The principles guiding this framework are that interventions should be grouped in categories, based on the magnitude of the effect; and that the judgments that place interventions in such categories should consider the estimates of effect, the certainty of the evidence, and the rankings. We describe and illustrate the four steps of this framework using an example.

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Título según WOS: ID WOS:000588285100002 Not found in local WOS DB
Título de la Revista: BMJ-BRITISH MEDICAL JOURNAL
Volumen: 371
Editorial: BMJ Publishing Group
Fecha de publicación: 2020
DOI:

10.1136/bmj.m3907

Notas: ISI