关键词: font-size:medium, "> , 网状Meta分析；研究主题；VOSviewer；文献计量分析

Abstract: Objective：To analyze the topic analysis and cooperation of Network Meta-analysis in China by visualization method. Methods： References related to Network Meta-analysis were retrieved from the Chinese Database (CNKI) and the Chinese Biomedical Literature Database (CBM). The co-occurrence analysis of publication time， journal， province， institution， author and keywords was performed by VOSviewer1.6.18 software， and relevant charts and visualization maps were drawn. Results and Conclusions： A total of 734 literatures were included for visualization analysis， and the results showed that the number of Network Meta-analysis has been increasing rapidly. Among the 31 provinces that participated in the Network Meta-analysis， the number of articles published in Beijing ranked first (198 articles)， and among the 273 journals， Chinese Journal of Evidence-Based Medicine published the most articles (44 articles). Among the 2 989 authors， Tian Jinhui published the most articles (40 articles)， and Lanzhou University published the most articles (70 articles) among the 602 institutions. By analyzing the cooperation network of institutional collaborators， it can be found that the cooperation between members of each group is relatively close， while the cooperation between different groups is relatively weak. Therefore， it is necessary to strengthen the cooperation between different groups. High-frequency keyword cluster analysis mainly involves 9 topics， which mainly covers the medical field and methodological research of Network Meta-analysis.

Key words: font-size:medium, ">Network Meta-analysis； Research topic； VOSviewer； Bibliometric analysis