Progress and challenges of network meta-analysis

Jinhui Tian, Ya Gao, Junhua Zhang, Zhirong Yang, Shengjie Dong, Tiansong Zhang, Feng Sun, Shanshan Wu, Jiarui Wu, Junfeng Wang, Liang Yao, Long Ge, Lun Li, Chunhu Shi, Quan Wang, Jiang Li, Ye Zhao, Yue Xiao, Fengwen Yang, Jinchun FanShisan Bao, Fujian Song

Research output: Contribution to journalReview articlepeer-review

Abstract

In the past years, network meta-analysis (NMA) has been widely used among clinicians, guideline makers, and health technology assessment agencies and has played an important role in clinical decision-making and guideline development. To inform further development of NMAs, we conducted a bibliometric analysis to assess the current status of published NMA methodological studies, summarized the methodological progress of seven types of NMAs, and discussed the current challenges of NMAs.
Original languageEnglish
Pages (from-to)218-231
Number of pages14
JournalJournal of Evidence-Based Medicine
Volume14
Issue number3
Early online date30 Aug 2021
DOIs
Publication statusPublished - Sep 2021

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