Wang Qianfei, Wang Chenxi, Wu Lijuan, Zhang He, Gao Haiyun, Li Junhu, Chen Fenqiao
Graduate School, Hebei College of Traditional Chinese Medicine, Shijiazhuang 050091, Hebei, China.
Basic Medical School, Hebei College of Traditional Chinese Medicine, Shijiazhuang 050020, Hebei, China.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020 Jul;32(7):779-784. doi: 10.3760/cma.j.cn121430-20200608-00823.
To analyze the research status, research hotspots and frontier trends of traditional Chinese medicine (TCM) in the treatment of influenza in the past 20 years through the knowledge graph, so as to provide reference basis for further research.
The related literatures of TCM in the treatment of influenza were collected in China National Knowledge Infrastructure (CNKI) from 2000 to 2019. The relevant graphs of authors, research institutions and key words were drawn by CiteSpace 5.6, the distribution and cooperation of main research forces in this field were analyzed, and the research frontiers and hot spot information in this field were discussed.
A total of 3 048 related literatures were obtained, involving 949 authors and 242 research institutions. The analysis of the number of articles showed that the volume of articles related to the treatment of influenza with TCM fluctuated greatly in the past 20 years, which was obviously affected by the sudden hot spots around 2010, but showed an overall upward trend, with an average annual volume of about 152 articles. The analysis of the author's cooperation map showed that a total of 77 core authors had published more than 5 articles, accounting for only 8.1% of all authors, and 5 authors had published more than 30 articles. Five major teams had been formed with Gu Ligang, Liu Qingquan, Lu Fangguo, Cui Xiaolan and Zhang Fengxue as the core. The analysis of the cooperation map of research institutions showed that the cooperation among institutions was not good, and only the scientific research institutes in Beijing and Guangzhou had formed a closely related cooperation network. The keyword co-occurrence map showed that 8 keywords appeared more than 100 times, especially ultra-high-frequency keywords, influenza virus ranked first (n = 518). There were 14 key nodes, such as influenza virus, TCM treatment, viral pneumonia and so on, which supported the current research field of TCM in the treatment of influenza. Fourteen clusters were formed to classify the current research hotspots, including the nomenclature of influenza, virus type, TCM treatment, western medicine knowledge, etc., and the map showed that the clustering was reasonable and the structure was significant. Timeline graph showed that parainfluenza virus, virus disease, pharmacodynamics, heat-clearing and detoxifying drugs, bacteriostasis and experimental research had all been studied for more than 8 years, revealing the research hotspots and trends of TCM in the treatment of influenza.
The overall research related to the treatment of influenza with TCM is relatively perfect. In the future, the close cooperation among authors and institutions should be strengthened. The molecular mechanism research, clinical and animal trials of TCM should be further studied, so as to improve the research system of TCM treatment of influenza.
通过知识图谱分析近20年中医药治疗流感的研究现状、研究热点及前沿趋势，为进一步研究提供参考依据。
收集中国知网（CNKI）2000年至2019年中医药治疗流感的相关文献，运用CiteSpace 5.6绘制作者、研究机构及关键词相关图谱，分析该领域主要研究力量的分布与合作情况，并探讨该领域的研究前沿及热点信息。
共获得3048篇相关文献，涉及949位作者和242个研究机构。论文数量分析显示，近20年中医药治疗流感相关论文数量波动较大，2010年左右受突发热点影响明显，但整体呈上升趋势，年均发文量约152篇。作者合作图谱分析显示，共77位核心作者发表论文超过5篇，仅占全部作者的8.1%，5位作者发表论文超过30篇。形成了以谷丽刚、刘清泉、卢芳国、崔晓兰、张凤瑞为核心的5个主要团队。研究机构合作图谱分析显示，机构间合作不佳，仅北京和广州的科研院所形成了紧密相关的合作网络。关键词共现图谱显示，8个关键词出现次数超过100次，超高频关键词中，流感病毒位居首位（n = 518）。存在流感病毒、中医治疗、病毒性肺炎等14个关键节点，支撑了当前中医药治疗流感的研究领域。形成14个聚类对当前研究热点进行分类，包括流感命名、病毒类型、中医治疗、西医知识等，图谱显示聚类合理、结构显著。时间线图谱显示，副流感病毒、病毒病、药效学、清热解毒药、抑菌及实验研究等均已研究8年以上，揭示了中医药治疗流感的研究热点及趋势。
中医药治疗流感的整体研究较为完善。未来应加强作者与机构间的紧密合作，进一步开展中医药分子机制研究、临床试验及动物试验，完善中医药治疗流感的研究体系。
