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2019冠状病毒病的中医药辅助治疗:一项系统评价与Meta分析方案

Chinese medicine for coronavirus disease 2019 as complementary therapy: A protocol for a systematic review and meta-analysis.

作者信息

Zhou Min, Liang Qijun, Pei QiuLan, Xu Fan, Wen Hang

机构信息

College of Clinical Medical, Jiangxi University of Traditional Chinese Medicine.

Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang.

出版信息

Medicine (Baltimore). 2020 Aug 14;99(33):e21034. doi: 10.1097/MD.0000000000021034.

Abstract

BACKGROUND

The aim of this systematic review and meta-analysis is to assess effectiveness and safety of Chinese medicine (CM) as complementary therapy in treating coronavirus disease 2019 (COVID-19).

METHODS

The following databases will be searched: PubMed, Cochrane, Embase, China National Knowledge Infrastructure, Chinese Science and Technology Periodical Database, and Wanfang database from October 1, 2019 to March 1, 2020. Randomized trials and quasi-randomized or prospective controlled clinical trials of CM that reported data on COVID-19 patients will be included. Study selection, data extraction, quality assessment, and assessment of risk bias will be performed by 2 reviewers independently. Odds ratios and correlative 95% confidence intervals will be calculated to present the association between the CM and CWM using Review Manager version 5.3 when there is sufficient available data.

RESULTS

The results will be disseminated through a peer-reviewed journal publication.

CONCLUSION

This systematic review findings will summarize up-to-date evidence for that CM is more effective and safe as adjunctive treatment for patients with COVID-19.

ETHICS AND DISSEMINATION

Ethics approval and patient consent are not required as this study is a systematic review based on published articles.

PROSPERO REGISTRATION NUMBER

CRD42020185382.

摘要

背景

本系统评价和荟萃分析旨在评估中药作为辅助疗法治疗2019冠状病毒病(COVID-19)的有效性和安全性。

方法

检索以下数据库:PubMed、Cochrane、Embase、中国知网、中国科技期刊数据库和万方数据库,检索时间为2019年10月1日至2020年3月1日。纳入报告COVID-19患者数据的中药随机试验、半随机或前瞻性对照临床试验。由2名 reviewers 独立进行研究选择、数据提取、质量评估和风险偏倚评估。当有足够的可用数据时,使用Review Manager 5.3计算比值比和相关的95%置信区间,以呈现中药与中西医结合之间的关联。

结果

结果将通过同行评审的期刊发表进行传播。

结论

本系统评价结果将总结最新证据,证明中药作为COVID-19患者的辅助治疗更有效、更安全。

伦理与传播

由于本研究是基于已发表文章的系统评价,因此无需伦理批准和患者同意。

PROSPERO注册号:CRD42020185382。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/935a/7437844/6a6968b8f2f4/medi-99-e21034-g002.jpg

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