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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 antide...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher:
Wiley Publisher's website
Journal:
Research Synthesis Methods Journal website
Publication date:
2020-05-25
Acceptance date:
2020-04-21
DOI:
EISSN:
1759-2887
ISSN:
1759-2879
Pubs id:
1101138
Local pid:
pubs:1101138

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