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Network meta-analyses in reproductive medicine: challenges and opportunities
Author(s) -
Rui Wang,
Anna Lene Seidler,
Lisa Askie,
Robert J. Norman,
Siladitya Bhattacharya,
Madelon van Wely,
Ben W. Mol
Publication year - 2020
Publication title -
human reproduction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.446
H-Index - 226
eISSN - 1460-2350
pISSN - 0268-1161
DOI - 10.1093/humrep/deaa126
Subject(s) - reproductive medicine , medline , medicine , family medicine , biology , pregnancy , biochemistry , genetics
Network meta-analysis allows researchers to synthesise both direct and indirect evidence, thus enabling simultaneous comparisons of multiple treatments. A relatively recent addition to evidence synthesis in reproductive medicine, this approach has become increasingly popular. Yet, the underlying assumptions of network meta-analyses, which drive the validity of their findings, have been frequently ignored. In this article, we discuss the strengths and limitations of network meta-analyses. In addition, we present an overview of published network meta-analyses in reproductive medicine, summarize their challenges and provide insights into future research opportunities.

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