Progress and challenges of network meta-analysis

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
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
Depositing User:	LivePure Connector
Date Deposited:	10 Sep 2021 00:23
Last Modified:	19 Dec 2024 01:04
URI:	https://ueaeprints.uea.ac.uk/id/eprint/81350
DOI:	10.1111/jebm.12443

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