Progress and challenges of network meta-analysis

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dc.contributor.authorTian, Jinhui
dc.contributor.authorGao, Ya
dc.contributor.authorZhang, Junhua
dc.contributor.authorYang, Zhirong
dc.contributor.authorDong, Shengjie
dc.contributor.authorZhang, Tiansong
dc.contributor.authorSun, Feng
dc.contributor.authorWu, Shanshan
dc.contributor.authorWu, Jiarui
dc.contributor.authorWang, Junfeng
dc.contributor.authorYao, Liang
dc.contributor.authorGe, Long
dc.contributor.authorLi, Lun
dc.contributor.authorShi, Chunhu
dc.contributor.authorWang, Quan
dc.contributor.authorLi, Jiang
dc.contributor.authorZhao, Ye
dc.contributor.authorXiao, Yue
dc.contributor.authorYang, Fengwen
dc.contributor.authorFan, Jinchun
dc.contributor.authorBao, Shisan
dc.contributor.authorSong, Fujian
dc.contributor.departmentBiochemistry and Molecular Biology, School of Medicine
dc.date.accessioned2024-07-19T12:25:14Z
dc.date.available2024-07-19T12:25:14Z
dc.date.issued2021
dc.description.abstractIn 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.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationTian J, Gao Y, Zhang J, et al. Progress and challenges of network meta-analysis. J Evid Based Med. 2021;14(3):218-231. doi:10.1111/jebm.12443
dc.identifier.urihttps://hdl.handle.net/1805/42331
dc.language.isoen_US
dc.publisherWiley
dc.relation.isversionof10.1111/jebm.12443
dc.relation.journalJournal of Evidence-Based Medicine
dc.rightsPublisher Policy
dc.sourceAuthor
dc.subjectBibliometric analysis
dc.subjectDiagnostic test accuracy
dc.subjectIndividual participant data
dc.subjectMethodological advances
dc.subjectNetwork meta-analysis
dc.titleProgress and challenges of network meta-analysis
dc.typeArticle
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