Progress and challenges of network meta-analysis

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Tian, Jinhui, Gao, Ya, Zhang, Junhua, Yang, Zhirong, Dong, Shengjie, Zhang, Tiansong, Sun, Feng, Wu, Shanshan, Wu, Jiarui, Wang, Junfeng, Yao, Liang, Ge, Long, Li, Lun, Shi, Chunhu, Wang, Quan, Li, Jiang, Zhao, Ye, Xiao, Yue, Yang, Fengwen, Fan, Jinchun, Bao, Shisan and Song, Fujian (2021) Progress and challenges of network meta-analysis. Journal of Evidence-Based Medicine, 14 (3). pp. 218-231. ISSN 1756-5383

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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.

Item Type: Article
Uncontrolled Keywords: bibliometric analysis,diagnostic test accuracy,individual participant data,methodological advances,network meta-analysis,health policy ,/dk/atira/pure/subjectarea/asjc/2700/2719
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health
Faculty of Medicine and Health Sciences > Research Groups > Health Services and Primary Care
Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023)
Faculty of Medicine and Health Sciences > Research Centres > Population Health (former - to 2025)
Faculty of Medicine and Health Sciences > Research Centres > Public Health
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Depositing User: LivePure Connector
Date Deposited: 10 Sep 2021 00:23
Last Modified: 26 Sep 2026 11:56
URI: https://uea-test-2026.eprints-hosting.org/id/eprint/81350
DOI: 10.1111/jebm.12443

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