Yang Ke-Lu, Jin Xin-Yao, Gao Ya, Xie Jin, Liu Ming, Zhang Jun-Hua, Tian Jin-Hui
Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, China.
Evidence-based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Integr Med Res. 2020 Sep;9(3):100490. doi: 10.1016/j.imr.2020.100490. Epub 2020 Jul 29.
The coronavirus disease 2019 (COVID-19) has caused a worldwide pandemic, and traditional Chinese medicine (TCM) has played an important role in response. We aimed to analyze the published literature on TCM for COVID-19, and provide reference for later research.
This study searched the CBM, CNKI, PubMed, and EMBASE from its establishment to March 11, 2020. VOSviewer 1.6.11 and gCLUTO 2.0 software were used to visually analyze the included studies.
A total of 309 studies were included, including 61 journals, 1441 authors, 277 institutions, and 27 provinces. Research collaborations among regions were among those close in geographical distance. The collaborations of institutions and authors were more likely to be restricted to the same region. Among the authors with frequency greater than two (65 authors), only 19 authors had connection with others. More than 70% (358/491) of keywords were only presented once, and 20 keywords were shown more than 10 times. Five research topics were identified: Data mining method based analysis on the medication law of Chinese medicine in prevention and management of COVID-19; exploration of active compounds of Chinese medicine for COVID-19 treatment based on network pharmacology and molecular docking; expert consensus and interpretation of COVID-19 treatment; research on the etiology and pathogenesis of COVID-19; and clinical research of TCM for COVID-19 treatment.
The research hotspots were scattered, and the collaboration between authors and institutions needed to be further strengthened. To improve the quality and efficiency of research output, the integration of scientific research and resources, as well as scientific collaboration are needed.
2019年冠状病毒病（COVID-19）已引发全球大流行，中医药在应对过程中发挥了重要作用。我们旨在分析已发表的关于中医药治疗COVID-19的文献，为后续研究提供参考。
本研究检索了从建库至2020年3月11日的中国生物医学文献数据库（CBM）、中国知网（CNKI）、PubMed和EMBASE。使用VOSviewer 1.6.11和gCLUTO 2.0软件对纳入研究进行可视化分析。
共纳入309项研究，涉及61种期刊、1441位作者、277个机构以及27个省份。区域间的研究合作多集中在地理距离较近的地区。机构和作者之间的合作更倾向于局限在同一区域。在出现频次大于2次的作者（65位作者）中，仅有19位作者与他人有联系。超过70%（358/491）的关键词仅出现1次，20个关键词出现次数超过10次。确定了五个研究主题：基于数据挖掘方法分析中医药防治COVID-19的用药规律；基于网络药理学和分子对接探索中医药治疗COVID-19的活性成分；COVID-19治疗的专家共识与解读；COVID-19的病因病机研究；中医药治疗COVID-19的临床研究。
研究热点较为分散，作者与机构之间的合作有待进一步加强。为提高研究产出的质量和效率，需要整合科研与资源以及开展科学合作。
