Use of traditional Chinese medicine for the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients: An evidence mapping study
Background: The potential effectiveness of traditional Chinese medicine (TCM) against “epidemic diseases” has highlighted the knowledge gaps associated with TCM in COVID-19 management. This study aimed to map the matrix for rigorously assessing, organizing, and presenting evidence relevant to TCM in...
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Frontiers Media S.A.
2023-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2023.1069879/full |
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author | Yanfei Li Yanfei Li Yanfei Li Yanfei Li Yu Qin Yu Qin Yu Qin Yu Qin Nan Chen Long Ge Long Ge Qi Wang Taslim Aboudou Jiani Han Jiani Han Jiani Han Jiani Han Liangying Hou Liangying Hou Liangying Hou Liangying Hou Liujiao Cao Rui Li Meixuan Li Meixuan Li Ningning Mi Peng Xie Siqing Wu Linmin Hu Xiuxia Li Zhongyang Song Jing Ji Zhiming Zhang Kehu Yang Kehu Yang Kehu Yang Kehu Yang |
author_facet | Yanfei Li Yanfei Li Yanfei Li Yanfei Li Yu Qin Yu Qin Yu Qin Yu Qin Nan Chen Long Ge Long Ge Qi Wang Taslim Aboudou Jiani Han Jiani Han Jiani Han Jiani Han Liangying Hou Liangying Hou Liangying Hou Liangying Hou Liujiao Cao Rui Li Meixuan Li Meixuan Li Ningning Mi Peng Xie Siqing Wu Linmin Hu Xiuxia Li Zhongyang Song Jing Ji Zhiming Zhang Kehu Yang Kehu Yang Kehu Yang Kehu Yang |
author_sort | Yanfei Li |
collection | DOAJ |
description | Background: The potential effectiveness of traditional Chinese medicine (TCM) against “epidemic diseases” has highlighted the knowledge gaps associated with TCM in COVID-19 management. This study aimed to map the matrix for rigorously assessing, organizing, and presenting evidence relevant to TCM in COVID-19 management.Methods: In this study, we used the methodology of evidence mapping (EM). Nine electronic databases, the WHO International Clinical Trials Registry Platform (ICTRP) Search Portal, ClinicalTrials.gov, gray literature, reference lists of articles, and relevant Chinese conference proceedings, were searched for articles published until 23 March 2022. The EndNote X9, Rayyan, EPPI, and R software were used for data entry and management.Results: In all, 126 studies, including 76 randomized controlled trials (RCTs) and 50 systematic reviews (SRs), met our inclusion criteria. Of these, only nine studies (7.14%) were designated as high quality: four RCTs were assessed as “low risk of bias” and five SRs as “high quality.” Based on the research objectives of these studies, the included studies were classified into treatment (53 RCTs and 50 SRs, 81.75%), rehabilitation (20 RCTs, 15.87%), and prevention (3 RCTs, 2.38%) groups. A total of 76 RCTs included 59 intervention categories and 57 efficacy outcomes. All relevant trials consistently demonstrated that TCM significantly improved 22 outcomes (i.e., consistent positive outcomes) without significantly affecting four (i.e., consistent negative outcomes). Further, 50 SRs included nine intervention categories and 27 efficacy outcomes, two of which reported consistent positive outcomes and two reported consistent negative outcomes. Moreover, 45 RCTs and 38 SRs investigated adverse events; 39 RCTs and 30 SRs showed no serious adverse events or significant differences between groups.Conclusion: This study provides evidence matrix mapping of TCM against COVID-19, demonstrating the potential efficacy and safety of TCM in the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients, and also addresses evidence gaps. Given the limited number and poor quality of available studies and potential concerns regarding the applicability of the current clinical evaluation standards to TCM, the effect of specific interventions on individual outcomes needs further evaluation. |
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spelling | doaj.art-51a92fe3ef2f497b8896a1a6aecef9d52023-01-19T06:17:47ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122023-01-011410.3389/fphar.2023.10698791069879Use of traditional Chinese medicine for the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients: An evidence mapping studyYanfei Li0Yanfei Li1Yanfei Li2Yanfei Li3Yu Qin4Yu Qin5Yu Qin6Yu Qin7Nan Chen8Long Ge9Long Ge10Qi Wang11Taslim Aboudou12Jiani Han13Jiani Han14Jiani Han15Jiani Han16Liangying Hou17Liangying Hou18Liangying Hou19Liangying Hou20Liujiao Cao21Rui Li22Meixuan Li23Meixuan Li24Ningning Mi25Peng Xie26Siqing Wu27Linmin Hu28Xiuxia Li29Zhongyang Song30Jing Ji31Zhiming Zhang32Kehu Yang33Kehu Yang34Kehu Yang35Kehu Yang36Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, ChinaKey Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, ChinaWHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, ChinaChinese GRADE Centre, Lanzhou University, Lanzhou, ChinaEvidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, ChinaKey Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, ChinaWHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, ChinaChinese GRADE Centre, Lanzhou University, Lanzhou, ChinaResearch and education department, Shaanxi Provincial Rehabilitation Hospital, Xi’an, ChinaDepartment of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, ChinaEvidence-Based Social Science Research Centre, School of Public Health, Lanzhou University, Lanzhou, ChinaDepartment of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, CanadaThe First Hospital of Lanzhou University, Lanzhou University, Lanzhou, ChinaEvidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, ChinaKey Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, ChinaWHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, ChinaChinese GRADE Centre, Lanzhou University, Lanzhou, ChinaEvidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, ChinaKey Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, ChinaWHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, ChinaChinese GRADE Centre, Lanzhou University, Lanzhou, China0West China School of Nursing/West China Hospital, Sichuan University, Chengdu, China1National Health Commission of the People’s Republic of China, Beijing, ChinaEvidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, ChinaDepartment of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, CanadaThe First Hospital of Lanzhou University, Lanzhou University, Lanzhou, China2The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China3School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China3School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, ChinaEvidence-Based Social Science Research Centre, School of Public Health, Lanzhou University, Lanzhou, China4Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Lanzhou, China5Department of Rehabilitation, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, China5Department of Rehabilitation, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, ChinaEvidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, ChinaKey Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, ChinaWHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, ChinaChinese GRADE Centre, Lanzhou University, Lanzhou, ChinaBackground: The potential effectiveness of traditional Chinese medicine (TCM) against “epidemic diseases” has highlighted the knowledge gaps associated with TCM in COVID-19 management. This study aimed to map the matrix for rigorously assessing, organizing, and presenting evidence relevant to TCM in COVID-19 management.Methods: In this study, we used the methodology of evidence mapping (EM). Nine electronic databases, the WHO International Clinical Trials Registry Platform (ICTRP) Search Portal, ClinicalTrials.gov, gray literature, reference lists of articles, and relevant Chinese conference proceedings, were searched for articles published until 23 March 2022. The EndNote X9, Rayyan, EPPI, and R software were used for data entry and management.Results: In all, 126 studies, including 76 randomized controlled trials (RCTs) and 50 systematic reviews (SRs), met our inclusion criteria. Of these, only nine studies (7.14%) were designated as high quality: four RCTs were assessed as “low risk of bias” and five SRs as “high quality.” Based on the research objectives of these studies, the included studies were classified into treatment (53 RCTs and 50 SRs, 81.75%), rehabilitation (20 RCTs, 15.87%), and prevention (3 RCTs, 2.38%) groups. A total of 76 RCTs included 59 intervention categories and 57 efficacy outcomes. All relevant trials consistently demonstrated that TCM significantly improved 22 outcomes (i.e., consistent positive outcomes) without significantly affecting four (i.e., consistent negative outcomes). Further, 50 SRs included nine intervention categories and 27 efficacy outcomes, two of which reported consistent positive outcomes and two reported consistent negative outcomes. Moreover, 45 RCTs and 38 SRs investigated adverse events; 39 RCTs and 30 SRs showed no serious adverse events or significant differences between groups.Conclusion: This study provides evidence matrix mapping of TCM against COVID-19, demonstrating the potential efficacy and safety of TCM in the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients, and also addresses evidence gaps. Given the limited number and poor quality of available studies and potential concerns regarding the applicability of the current clinical evaluation standards to TCM, the effect of specific interventions on individual outcomes needs further evaluation.https://www.frontiersin.org/articles/10.3389/fphar.2023.1069879/fullCOVID-19evidence mappinggap mapspreventionrehabilitationtraditional Chinese medicine |
spellingShingle | Yanfei Li Yanfei Li Yanfei Li Yanfei Li Yu Qin Yu Qin Yu Qin Yu Qin Nan Chen Long Ge Long Ge Qi Wang Taslim Aboudou Jiani Han Jiani Han Jiani Han Jiani Han Liangying Hou Liangying Hou Liangying Hou Liangying Hou Liujiao Cao Rui Li Meixuan Li Meixuan Li Ningning Mi Peng Xie Siqing Wu Linmin Hu Xiuxia Li Zhongyang Song Jing Ji Zhiming Zhang Kehu Yang Kehu Yang Kehu Yang Kehu Yang Use of traditional Chinese medicine for the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients: An evidence mapping study Frontiers in Pharmacology COVID-19 evidence mapping gap maps prevention rehabilitation traditional Chinese medicine |
title | Use of traditional Chinese medicine for the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients: An evidence mapping study |
title_full | Use of traditional Chinese medicine for the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients: An evidence mapping study |
title_fullStr | Use of traditional Chinese medicine for the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients: An evidence mapping study |
title_full_unstemmed | Use of traditional Chinese medicine for the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients: An evidence mapping study |
title_short | Use of traditional Chinese medicine for the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients: An evidence mapping study |
title_sort | use of traditional chinese medicine for the treatment and prevention of covid 19 and rehabilitation of covid 19 patients an evidence mapping study |
topic | COVID-19 evidence mapping gap maps prevention rehabilitation traditional Chinese medicine |
url | https://www.frontiersin.org/articles/10.3389/fphar.2023.1069879/full |
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