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2019年冠状病毒病的中药疗效与安全性:系统评价与荟萃分析方案

Efficacy and safety of Chinese herbal medicine for Coronavirus disease 2019: A protocol for systematic review and meta-analysis.

作者信息

Yang Maoyi, Hu Zhipeng, Yue Rensong

机构信息

Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, P.R. China.

出版信息

Medicine (Baltimore). 2020 May 29;99(22):e20157. doi: 10.1097/MD.0000000000020157.

Abstract

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a global pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). There is no specific cure for this disease, and the clinical management mainly depends on supportive treatment. Traditional Chinese medicines (CHM) is widely used in treating COVID-19 in China.

METHODS

A comprehensive literature search will be conducted. Two methodological trained researchers will read the title, abstract, and full texts and independently select the qualified literature according to inclusion and exclusion criteria. After assessment of the risk of bias and data extraction, we will conduct meta-analyses for outcomes related to COVID-19. The heterogeneity of data will be investigated by Cochrane χ and I tests. Then publication bias assessment will be conducted by funnel plot analysis and Egger test.

RESULTS

The results of our research will be published in a peer-reviewed journal.

CONCLUSION

Our study aims to systematically present the clinical evidence of CHM in the treatment of COVID-19, which will be of guiding significance for further research and clinical practice.

OSF REGISTRATION NUMBER

10.17605/OSF.IO/H7GMU.

摘要

背景

2019冠状病毒病(COVID-19)是由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的全球大流行疾病。该疾病尚无特效治疗方法,临床管理主要依赖支持性治疗。中药在中国被广泛用于治疗COVID-19。

方法

将进行全面的文献检索。两名经过方法学培训的研究人员将阅读标题、摘要和全文,并根据纳入和排除标准独立选择合格文献。在评估偏倚风险和进行数据提取后,我们将对与COVID-19相关的结局进行荟萃分析。将通过Cochrane χ²和I²检验研究数据的异质性。然后通过漏斗图分析和Egger检验进行发表偏倚评估。

结果

我们的研究结果将发表在同行评审期刊上。

结论

我们的研究旨在系统地呈现中药治疗COVID-19的临床证据,这将对进一步的研究和临床实践具有指导意义。

开放科学框架注册号

10.17605/OSF.IO/H7GMU。

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