Comparative efficacy of acupuncture-related therapy for postmenopausal osteoporosis: protocol for Bayesian network meta-analysis

Author:

Xu Tiantian,Deng BingORCID,Lin Shen,Wang Hongjin,Xu Yunxiang,Chen Guizhen

Abstract

IntroductionThe review aims to conduct the first network meta-analysis to comprehensively evaluate the application of multiple acupuncture techniques in patients with postmenopausal osteoporosis, ranking the best acupuncture treatment and providing a reference for clinical treatment extensively.Methods and analysisRandomised controlled trials of different acupuncture-related therapies for postmenopausal osteoporosis will be searched in the following databases from 1 January 2002 to 31 December 2022, including PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, VIP Database, Wanfang Database and China Biomedical Literature Database. Overall, clinical efficacy rate, bone mineral density and a Visual Analogue Scale score are used as the primary outcome indicators. In addition, the secondary outcome indicator is adverse reactions. The entire screening process will be conducted by two independent investigators; meanwhile, Stata (V.14.0) and RevMan (V.5.4) will be used to conduct the network meta-analysis. If the data are permissible and feasible, we will also perform meta-regression and subgroup analyses to address the underlying causes of data inconsistency and heterogeneity in the statistical analyses. Besides, to improve the credibility of this network meta-analysis, we will evaluate the quality of evidence in this research according to the GRADE assessment.Ethics and disseminationEthics approval is not required for network meta-analyses, which do not involve animals’ or people’s welfare. The results of this network meta-analysis will be submitted to a recognised journal for publication.PROSPERO registration numberCRD42023401003.

Funder

Natural Science Foundation of Guangdong Province of China

Shenzhen Bao’an Traditional Chinese Medicine Hospital Research Program

Shenzhen Science and Technology Innovation Committee grants

Shenzhen Bao'an Traditional Chinese Medicine Development Foundation

Publisher

BMJ

Subject

General Medicine

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