GRADE approach to drawing conclusions from a network meta-analysis using a minimally contextualised framework
Romina Brignardello‐Petersen(Impact), Iván D. Flórez(Universidad de Antioquia), Ariel Izcovich, Nancy Santesso(Impact), Glen Hazlewood(University of Calgary), Waleed Alhazanni(Impact), Juan José Yepes-Núñez(Universidad de Los Andes), George Tomlinson(University Health Network), Holger J. Schünemann(Impact), Gordon Guyatt(Impact)
Cited by 309Open Access
Abstract
Network meta-analyses (NMA) rarely establish that one intervention is better than all others; reviewers should group interventions in categories, from the most to the least effective or the least to the most harmful This article describes GRADE guidance on how to draw conclusions from NMA for one outcome using a transparent, straightforward, minimally contextualised approach that focuses on effect estimates and evidence certainty to classify interventions in groups from the most to the least effective or harmful NMA GRADE users should use the new approach to ensure appropriate, informative conclusions that clinicians can easily understand on 15 July
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