A bibliometric analysis of research related Chinese Medicine in the prevention and treatment of corona virus disease 2019

被引:5
|
作者
Zhong, Dayuan [1 ]
Li, Lan [2 ]
Xu, Luhua [3 ]
Li, Huanjie [4 ]
Chen, Dahao [5 ]
Luo, Yumiao [1 ]
Li, Dingxiang [2 ]
Deng, Yihui [2 ]
机构
[1] Guangdong Prov Hosp Integrated Tradit Chinese & We, Foshan 528200, Peoples R China
[2] Hunan Univ Chinese Med, Changsha 410208, Peoples R China
[3] Shenzhen Baoan Dist Tradit Chinese Med Hosp, Shenzhen 518133, Peoples R China
[4] Foshan Hosp Tradit Chinese Med, Foshan 528099, Peoples R China
[5] Guangzhou Univ Chinese Med, Guangzhou 510006, Peoples R China
基金
中国国家自然科学基金;
关键词
Traditional Chinese medicine; Coronavirus disease 2019; COVID-19; Bibliometrics; Prevention; Treatment; NETWORK PHARMACOLOGY; DECOCTION; PNEUMONIA; MECHANISM; COVID-19; CAPSULE;
D O I
10.1016/j.heliyon.2022.e11120
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objective: To perform a bibliometric analysis of published research related to the use of traditional Chinese medicine (TCM) for the treatment of Coronavirus Disease 2019 (COVID-19).Methods: Research documents related to the use of TCM for prevention and treatment of COVID-19 published up to September 19, 2021, were retrieved from the Web of Science database. Bibliometrix R 4.0 software package was used to analyze data, including countries of publication, research institutions, journals, citations, and key-words. Further analysis was conducted to identify co-occurrence of keywords in the documents, including their titles and abstracts. Cooperative network analyses of authors, institutions, and countries of publication were also conducted. The classification types were statistically analyzed and the research progress of key TCMs was reviewed.Results: A total of 417 documents were included in our analysis. Of these, 85.13% originated in China. Of the 417 documents, 148 (35.5%) were published in journals with impact factors in quartile 1 and 164 (39.3%) in journals in quartile 2. The documents were mainly published in journals categorized as Medicine. The results of network analysis showed close cooperation between institutions and countries. Excluding disease-and drug-related key-words, the top four keywords were 'Systematic review', 'Network pharmacology', 'Medicine' and 'Molecular docking'. Keyword co-occurrence analysis showed 4 main keywords association groups. Statistical analysis of the TCM studies showed that Lianhua Qingwen capsule, Qingfei Paidu decoction, Shufeng Jiedu capsules and ReDuNing injection were the most studied Chinese medicines. Lianhua Qingwen capsules, Qingfei Paidu decoction, ReDuNing injection, and Shufeng Jiedu capsules were used in clinical, bioinformatics, and basic research. Toujie Quwen granule, Jinhua Qinggan granule, Shuanghuanglian oral liquid, Tanreqing injection, and Xuanfei Baidu decoction were used in clinical and bioinformatics research, although basic research on their mechanisms of action is lacking.Conclusion: Research intensity and recognition, as well as cooperation, in the field of Chinese medicine for the prevention and treatment of COVID-19 has increased. Research types are generally comprehensive, and investi-gated several TCM formulations that are specifically recommended by Chinese COVID-19 guidelines. However, comprehensive, in-depth research on their molecular mechanisms of action is still lacking. More basic research is thus needed to identify therapeutic mechanisms to standardize and validate the use of TCM in the prevention and treatment of COVID-19.
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页数:10
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