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 Fan; Shisan Bao; Fujian Song

doi:10.1111/jebm.12443

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 journal › Review article › peer-review

14 Citations (Scopus)

14 Downloads (Pure)

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 language	English
Pages (from-to)	218-231
Number of pages	14
Journal	Journal of Evidence-Based Medicine
Volume	14
Issue number	3
Early online date	30 Aug 2021
DOIs	https://doi.org/10.1111/jebm.12443
Publication status	Published - Sep 2021

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10.1111/jebm.12443

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Cite this

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title = "Progress and challenges of network meta-analysis",

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.",

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

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T1 - Progress and challenges of network meta-analysis

AU - Tian, Jinhui

AU - Gao, Ya

AU - Zhang, Junhua

AU - Yang, Zhirong

AU - Dong, Shengjie

AU - Zhang, Tiansong

AU - Sun, Feng

AU - Wu, Shanshan

AU - Wu, Jiarui

AU - Wang, Junfeng

AU - Yao, Liang

AU - Ge, Long

AU - Li, Lun

AU - Shi, Chunhu

AU - Wang, Quan

AU - Li, Jiang

AU - Zhao, Ye

AU - Xiao, Yue

AU - Yang, Fengwen

AU - Fan, Jinchun

AU - Bao, Shisan

AU - Song, Fujian

PY - 2021/9

Y1 - 2021/9

N2 - 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.

AB - 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.

U2 - 10.1111/jebm.12443

DO - 10.1111/jebm.12443

M3 - Review article

VL - 14

SP - 218

EP - 231

JO - Journal of Evidence-Based Medicine

JF - Journal of Evidence-Based Medicine

SN - 1756-5383

IS - 3

ER -