Meta-analysis of single-group rate of the distribution of traditional Chinese medicine syndromes in 2 139 patients with coronavirus disease 2019

Zhonghua wei zhong bing ji jiu yi xue
Xuanlin LiJian-sheng Li

Abstract

To systematically evaluate the incidence of coronavirus disease 2019 (COVID-19) syndrome in traditional Chinese medicine (TCM), and to provide a basis for the standard of COVID-19 syndrome differentiation. CNKI, China Medical Journal Network, PubMed and Embase databases were searched by computer, and TCM syndrome data of COVID-19 cross-sectional surveys and case series were collected from the establishment of the database to March 31st in 2020. Two researchers independently screened the literature, extracted relevant data such as TCM syndromes, and evaluated the quality of the literature according to the quality assessment tool recommended by the JBI Evidence-Based Health Care Center. Stata 14.0 software was used to perform a single-group Meta-analysis of TCM syndromes. Thirteen cross-sectional studies and 5 case series studies were included, with a total of 2 139 patients. The analysis of the cross-sectional studies showed that the risk bias was higher in the identification, control and accuracy of the confounding factors, and the description of the reliability and validity of the outcome indicators was unclear. The analysis of the case series studies showed that the overall risk bias was small, but there was a lack of a compr...Continue Reading

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