Network meta-analyses in reproductive medicine: challenges and opportunities

Rui Wang* (Corresponding Author), Anna Lene Seidler, Lisa Askie, Robert J. Norman, Siladitya Bhattacharya, Madelon van Wely, Ben Willem Mol

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1723-1731
Number of pages9
JournalHuman reproduction (Oxford, England)
Volume35
Issue number8
Early online date14 Jul 2020
DOIs
Publication statusPublished - Aug 2020

Bibliographical note

Funding
R.W. was supported by an Australian Government Research Training Program (RTP) Scholarship. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Keywords

  • certainty of evidence
  • evidence synthesis
  • infertility
  • meta-analysis
  • network meta-analysis
  • reporting
  • reproductive medicine
  • systematic review
  • transitivity

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