10.1111/jebm.12443

Progress and challenges of network meta-analysis

Jinhui Tian ; Ya Ga ; 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 Zha ; Yue Xiao ; Fengwen Yang ; Jinchun Fan ; Shisan Bao ; Fujian Song

Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China. ; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.

Song, Fujian

JOURNAL OF EVIDENCE BASED MEDICINE

1756-5383

1756-5391

2021-08-30

14

3

218-231

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.

bibliometric analysis diagnostic test accuracy individual participant data methodological advances network meta-analysis

This work was supported by the Gansu Province Science and Technology Plan Funded Project (20CX4ZA027, 20CX9ZA112) and the National Key Research and Development Program of China (2019YFC1709805).

甘肃省科技厅 ; 科技部

https://onlinelibrary.wiley.com/doi/10.1111/jebm.12443

英文

中国

循证医学

SCIE

Medicine ; General & Internal

MIXED TREATMENT COMPARISONS ; INDIVIDUAL-PATIENT DATA ; SYSTEMATIC REVIEWS ; COVARIATE INTERACTIONS ; BIBLIOMETRIC ANALYSIS ; MULTIPLE-TREATMENTS ; FUTURE-PROSPECTS ; CONSISTENCY ; MODEL ; AGGREGATE

14

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