Background: Since the COVID-19 outbreak in 2020, more than 20 million people worldwide have been diagnosed with COVID-19, and all health care workers are looking for ways to improve the cure rate of the disease. As an important method of rehabilitation therapy, exercise therapy has been proved to improve the level of human function, promote the recovery of diseases, and improve the human immune ability. The main objective of this study was to provide reliable methods and credible evidence for exercise therapy to improve the prognosis of COVID-19 patients. Methods and analysis: The scheme was systematically reviewed in accordance with the preferred reporting items. We searched the following experimental databases: Cochrane Library, PubMed, EMBASE, Web of Science, China Biomedical Literature Database (CBM), China National Knowledge Infrastructure Database (CNKI), China Science and Wanfang Database. All trials using exercise therapy for rehabilitation of COVID-19 patients in the above database should be considered for inclusion. Relevant randomised controlled trials(RCTS), controlled before and after, interrupted time series and prospective analytic cohort studies regardless of publication date, language and geographic location, will be included. To summarize the therapeutic effect of exercise therapy on COVID-19 patients, high-quality literature was selected for data extraction and analysis. Two reviewers will independently screen titles, abstracts and full-text articles against inclusion criteria; perform data extraction and assess risk of bias in included studies. We will assess the certainty of the overall evidence using the Grading of Recommendations Assessment, Development and Evaluation approach and report findings accordingly. Results: In this study, we hope to summarize effective exercise therapy that can improve the prognosis of COVID-19 patients and find strong evidence for it. Conclusions: The conclusions of this study will provide reliable evidence to determine whether exercise and exercise therapy can improve the prognosis of COVID-19 patients and guide future studies. PROSPERO registration number: CRD42020209025.
Background: From the end of 2019, COVID-19 has become a global epidemic, threatening the physical and mental health of everyone. How to effectively prevent and treat COVID-19 is concerned. Some studies have shown that Health-Preserving Sports plays an active role in the prognosis treatment of COVID-19. Therefore, this study aims to provide a method to assess the efficacy and safety of Health-Preserving Sports for the prognosis of COVID-19. Methods: This protocol is guided by the Preferred Reporting Items for Systematic Reviews. The following electronic databases will be searched: PubMed, the Cochrane Central Register of Controlled Trials, Excerpta Medica Database, MEDLINE, Web of Science, China National Knowledge Infrastructure Database, Chinese Biomedical Literature Database, China Science and Technology Journal Database, and Wan-Fang Database. We will be screened for data extraction and analysis, to summarize the therapeutic effect of Health-Preserving Sports on the treatment of COVID-19. Result: This study will provide a reliable evidence for the treatment of COVID-19 by Health-Preserving Sports. Conclusion: To provide a method to assess the efficacy and safety of Health-Preserving Sports for the prognosis of COVID-19, and guide future researches. PROSPERO registration number: CRD42020219526.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.