医学
荟萃分析
梅德林
科克伦图书馆
随机对照试验
协议(科学)
系统回顾
指南
子群分析
物理疗法
替代医学
医学物理学
外科
病理
政治学
法学
作者
Haifeng Chen,Ruikun Zhang,Yan Kun,Wenyi Wang,Zhineng Chen,Xinmiao Yao
出处
期刊:BMJ Open
[BMJ]
日期:2022-11-01
卷期号:12 (11): e063878-e063878
被引量:1
标识
DOI:10.1136/bmjopen-2022-063878
摘要
Introduction As populations age, osteoporosis has become a hot topic of global public concern. The beneficial effects of traditional Chinese exercises on the musculoskeletal system have been demonstrated. However, previous research findings on osteoporosis are inconsistent, and it is unclear which type of exercise and its frequency and duration have the best effect on osteoporosis. This study aims to investigate the most appropriate exercise modality for people with osteoporosis through systematic evaluation and network meta-analysis to guide clinical practice. Methods and analysis The Cochrane Library, Web of Science, MEDLINE, Embase, China Biomedical Literature, China Knowledge Network, China Science and Technology Journal and Wanfang databases will be searched until January 2022. The language of the articles should be English or Chinese. All clinical randomised controlled trials on the effect of traditional Chinese exercises on osteoporosis will be included. We will use RevMan, Stata and GeMTC software to complete our network meta-analysis. We will perform risk of bias assessment, subgroup analysis and sensitivity analysis to correct the results. Finally, we will use the Grading of Recommendations Assessment, Development and Evaluation guideline development tool and Confidence in Network Meta-Analysis (CINeMA, a new method for assessing CINeMA results) approach to evaluate the reliability of our final results. Ethics and dissemination All data for this study will be obtained from published studies, so no ethical review will be needed. We will publish the results of the study in a peer-reviewed journal. PROSPERO registration number CRD42022323622.
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