Two decades of network meta-analysis: Roadmap to their applications and challenges.

Autor: Veroniki AA; Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.; Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada., Florez I; Department of Pediatrics, University of Antioquia, Medellín, Colombia.; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada., Hutton B; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.; Ottawa University School of Epidemiology and Public Health, Ottawa, Ontario, Canada., Straus SE; Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.; Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada.; Department of Geriatric Medicine, University of Toronto, Toronto, Ontario, Canada., Tricco AC; Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.; Epidemiology Division & Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Jazyk: angličtina
Zdroj: Research synthesis methods [Res Synth Methods] 2024 Sep; Vol. 15 (5), pp. 741-746. Date of Electronic Publication: 2024 Jul 31.
DOI: 10.1002/jrsm.1744
Abstrakt: Recently, Ades and colleagues discussed the controversies and advancements in network meta-analysis (NMA) over the past two decades, discussing its reliability, assumptions, novel approaches, and provided some useful recommendations for the conduction of NMAs. The present discussion paper builds on the insights by Ades and colleagues, providing a roadmap for NMA applications, advancements in software and tools, and approaches designed to facilitate the assessment and interpretation of NMA findings. It also discusses the impact of NMA across disciplines, particularly for policymakers and guideline developers. Despite 20 years of NMA history, challenges remain in understanding and assessing assumptions, communicating and interpreting findings, and applying common approaches like network meta-regression and NMA involving non-randomized studies in readily available software. NMA has proven particularly valuable in clinical decision-making, which highlights the need for additional training and interdisciplinary collaboration of knowledge users, including patient engagement, to enhance its adoption and address real-world problems.
(© 2024 The Author(s). Research Synthesis Methods published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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