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Assessment of Chinese medicine for coronavirus-related pneumonia: A protocol for systematic review and meta-analysis
BACKGROUND: The 2019 novel coronavirus disease has caused a global pandemic with substantial morbidity and mortality. Chinese medicine has been extensively employed in the coronavirus-related pandemic in China. We aim to assess the efficacy and safety of Chinese medicine in treatment of coronavirus-...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302632/ https://www.ncbi.nlm.nih.gov/pubmed/32541496 http://dx.doi.org/10.1097/MD.0000000000020613 |
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author | Zhu, Yibing Jiang, Zhiming Zhang, Yuke Zhang, Qi Li, Wen Ren, Chao Yao, Renqi Feng, Jingzhi Ren, Yu Jin, Lin Wang, Yang Du, Bin Li, Wei Huang, Huibin Xi, Xiuming |
author_facet | Zhu, Yibing Jiang, Zhiming Zhang, Yuke Zhang, Qi Li, Wen Ren, Chao Yao, Renqi Feng, Jingzhi Ren, Yu Jin, Lin Wang, Yang Du, Bin Li, Wei Huang, Huibin Xi, Xiuming |
author_sort | Zhu, Yibing |
collection | PubMed |
description | BACKGROUND: The 2019 novel coronavirus disease has caused a global pandemic with substantial morbidity and mortality. Chinese medicine has been extensively employed in the coronavirus-related pandemic in China. We aim to assess the efficacy and safety of Chinese medicine in treatment of coronavirus-related pneumonia with the updated results of relevant clinical trials. METHODS: Six electronic databases including PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure, Chongqing VIP, and SinoMed will be searched to identify randomized controlled trials up to May 2020. Patients diagnosed with coronavirus-related pneumonia including severe acute respiratory syndrome, Middle East respiratory syndrome, and 2019 novel coronavirus disease and administrated with Chinese medicine will be included. The primary outcome is the all cause mortality at the longest follow up available. The second outcomes include the length of stay in hospital and intensive care units, the duration of mechanical ventilation, and adverse events. The pooled effects will be analyzed and reported as risk ratios for dichotomous data using the Mantel–Haenszel method or mean differences for continuous data using the inverse-variance method. Sensitivity and subgroup analyses will be performed to test the robustness of the results and to explore the potential sources of heterogeneities. The Egger test and/or funnel plots will be used for the examination of publication bias. The grades of recommendation assessment, development, and evaluation methodology will be used to summarize the quality of evidence. The trial sequential analysis will be conducted to test whether the meta-analysis has a sufficient sample size after adjustment of the increased type I and II error risks. RESULTS: The evidence to date of Chinese medicine in treatment of coronavirus-related pneumonia will be systematically reviewed and meta-analyzed. CONCLUSION: The relevant studies will be summarized and further evidence will be provided. PROSPERO registration number: CRD42020178879 |
format | Online Article Text |
id | pubmed-7302632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-73026322020-06-29 Assessment of Chinese medicine for coronavirus-related pneumonia: A protocol for systematic review and meta-analysis Zhu, Yibing Jiang, Zhiming Zhang, Yuke Zhang, Qi Li, Wen Ren, Chao Yao, Renqi Feng, Jingzhi Ren, Yu Jin, Lin Wang, Yang Du, Bin Li, Wei Huang, Huibin Xi, Xiuming Medicine (Baltimore) 4900 BACKGROUND: The 2019 novel coronavirus disease has caused a global pandemic with substantial morbidity and mortality. Chinese medicine has been extensively employed in the coronavirus-related pandemic in China. We aim to assess the efficacy and safety of Chinese medicine in treatment of coronavirus-related pneumonia with the updated results of relevant clinical trials. METHODS: Six electronic databases including PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure, Chongqing VIP, and SinoMed will be searched to identify randomized controlled trials up to May 2020. Patients diagnosed with coronavirus-related pneumonia including severe acute respiratory syndrome, Middle East respiratory syndrome, and 2019 novel coronavirus disease and administrated with Chinese medicine will be included. The primary outcome is the all cause mortality at the longest follow up available. The second outcomes include the length of stay in hospital and intensive care units, the duration of mechanical ventilation, and adverse events. The pooled effects will be analyzed and reported as risk ratios for dichotomous data using the Mantel–Haenszel method or mean differences for continuous data using the inverse-variance method. Sensitivity and subgroup analyses will be performed to test the robustness of the results and to explore the potential sources of heterogeneities. The Egger test and/or funnel plots will be used for the examination of publication bias. The grades of recommendation assessment, development, and evaluation methodology will be used to summarize the quality of evidence. The trial sequential analysis will be conducted to test whether the meta-analysis has a sufficient sample size after adjustment of the increased type I and II error risks. RESULTS: The evidence to date of Chinese medicine in treatment of coronavirus-related pneumonia will be systematically reviewed and meta-analyzed. CONCLUSION: The relevant studies will be summarized and further evidence will be provided. PROSPERO registration number: CRD42020178879 Wolters Kluwer Health 2020-06-12 /pmc/articles/PMC7302632/ /pubmed/32541496 http://dx.doi.org/10.1097/MD.0000000000020613 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | 4900 Zhu, Yibing Jiang, Zhiming Zhang, Yuke Zhang, Qi Li, Wen Ren, Chao Yao, Renqi Feng, Jingzhi Ren, Yu Jin, Lin Wang, Yang Du, Bin Li, Wei Huang, Huibin Xi, Xiuming Assessment of Chinese medicine for coronavirus-related pneumonia: A protocol for systematic review and meta-analysis |
title | Assessment of Chinese medicine for coronavirus-related pneumonia: A protocol for systematic review and meta-analysis |
title_full | Assessment of Chinese medicine for coronavirus-related pneumonia: A protocol for systematic review and meta-analysis |
title_fullStr | Assessment of Chinese medicine for coronavirus-related pneumonia: A protocol for systematic review and meta-analysis |
title_full_unstemmed | Assessment of Chinese medicine for coronavirus-related pneumonia: A protocol for systematic review and meta-analysis |
title_short | Assessment of Chinese medicine for coronavirus-related pneumonia: A protocol for systematic review and meta-analysis |
title_sort | assessment of chinese medicine for coronavirus-related pneumonia: a protocol for systematic review and meta-analysis |
topic | 4900 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302632/ https://www.ncbi.nlm.nih.gov/pubmed/32541496 http://dx.doi.org/10.1097/MD.0000000000020613 |
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