TY - JOUR
T1 - Traditional, complementary and integrative medicine therapies for the treatment of mild/moderate acute COVID-19
T2 - protocol for a systematic review and network meta-analysis
AU - Li, Anqi
AU - Guyatt, Gordon
AU - Chu, Derek
AU - Thabane, Lehana
AU - Busse, Jason W.
AU - Sadeghirad, Behnam
AU - He, Qingyong
AU - Ge, Long
AU - Hao, Qiukui
AU - Vohra, Sunita
AU - Brinkhaus, Benno
AU - Witt, Claudia M.
AU - Li, Yachan
AU - Krishnan, Geetha
AU - Agoritsas, Thomas
AU - Wieland, Lisa Susan
AU - Chaturvedi, Sarika
AU - Kothari, Kavita U.
AU - Patwardhan, Bhushan
AU - Fang, Min
AU - Kong, Lingjun
AU - Ren, Jun
AU - Lee, Myeong Soo
AU - Cheung, Angela
AU - Okwen, Patrick M.
AU - Downey, Bernice
AU - Ang, Lin
AU - Zhu, Jialing
AU - Zhang, Yuqing
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2024/11/7
Y1 - 2024/11/7
N2 - Background Increasing evidence has emerged for traditional, complementary and integrative medicine (TCIM) to treat COVID-19 which requires systematic summaries of the net benefits of interventions against standard care and one another. The study aims to conduct a systematic review and network meta-analysis (NMA) regarding TCIM therapies for treating mild/moderate acute COVID-19, potentially informing the WHO guideline development and clinical decision-making. Methods and analysis We will search Embase, MEDLINE, Virtual Health Library on Traditional Complementary and Integrative Medicine, Cochrane Central Register of Controlled Trials, WHO's International Clinical Trials Registry Platform with additional searches of Chinese and Korean literature sources for randomised controlled trials comparing TCIM with placebo, standard care, no treatment or with an alternate type of TCIM to treat COVID-19. We will limit the search dates from 2020 to 28 March 2024. Reviewers will, in duplicate, screen eligible articles, extract data and evaluate the risk of bias. We will conduct frequentist network meta-analyses for network comparisons and each outcome. We will assess the certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation approach and classify interventions from most to least effective or harmful. Ethics and dissemination This NMA is based on the existing trials and data which is not subject to ethical approval. We will publish the NMA in a peer-reviewed journal. This may provide methodological reference and clinical evidence for TCIM on future epidemic-prone diseases.
AB - Background Increasing evidence has emerged for traditional, complementary and integrative medicine (TCIM) to treat COVID-19 which requires systematic summaries of the net benefits of interventions against standard care and one another. The study aims to conduct a systematic review and network meta-analysis (NMA) regarding TCIM therapies for treating mild/moderate acute COVID-19, potentially informing the WHO guideline development and clinical decision-making. Methods and analysis We will search Embase, MEDLINE, Virtual Health Library on Traditional Complementary and Integrative Medicine, Cochrane Central Register of Controlled Trials, WHO's International Clinical Trials Registry Platform with additional searches of Chinese and Korean literature sources for randomised controlled trials comparing TCIM with placebo, standard care, no treatment or with an alternate type of TCIM to treat COVID-19. We will limit the search dates from 2020 to 28 March 2024. Reviewers will, in duplicate, screen eligible articles, extract data and evaluate the risk of bias. We will conduct frequentist network meta-analyses for network comparisons and each outcome. We will assess the certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation approach and classify interventions from most to least effective or harmful. Ethics and dissemination This NMA is based on the existing trials and data which is not subject to ethical approval. We will publish the NMA in a peer-reviewed journal. This may provide methodological reference and clinical evidence for TCIM on future epidemic-prone diseases.
KW - COVID-19
KW - Complementary Medicine
KW - Network Meta-Analysis
KW - Protocols & guidelines
UR - https://www.scopus.com/pages/publications/85209480445
U2 - 10.1136/bmjopen-2024-088959
DO - 10.1136/bmjopen-2024-088959
M3 - Article
C2 - 39515857
AN - SCOPUS:85209480445
SN - 2044-6055
VL - 14
JO - BMJ Open
JF - BMJ Open
IS - 11
M1 - e088959
ER -