Visualizing the evolution of evidence: Cumulative network meta-analyses of new generation antidepressants in the last 40 years.

ABSTRACT: It is often challenging to present the available evidence in a timely and comprehensible manner. We aimed to visualize the evolution of evidence about antidepressants for depression by conducting cumulative network meta-analyses (NMAs) and to examine whether it could have helped the selection of optimal drugs. We built a Shiny web application that performs and presents cumulative NMAs based on R netmeta. We used a comprehensive dataset of double-blind randomized controlled trials of 21 antidepressants in the acute treatment of major depression. The primary outcomes were efficacy (treatment response) and acceptability (all-cause discontinuation), and treatment effects were summarized via odds ratios. We evaluated the confidence in evidence using the CINeMA (Confidence in Network Meta-Analys

SUBMITTER: Luo Y 

PROVIDER: S-EPMC7818396 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature