医学
荟萃分析
艾灸
随机对照试验
科克伦图书馆
骨质疏松症
梅德林
系统回顾
临床试验
物理疗法
内科学
生活质量(医疗保健)
不利影响
数据提取
作者
Xin Hui,Hao Wang,Qin Yao,Baixiao Zhao,Lue Ha
出处
期刊:Medicine
[Ovid Technologies (Wolters Kluwer)]
日期:2019-12-01
卷期号:98 (52)
标识
DOI:10.1097/md.0000000000018226
摘要
Background Primary osteoporosis (POP) is a common disease among elderly, which increase the risk of fracture and impact to the quality of life. As a Chinese traditional therapy, moxibustion has been commonly applied in treating chronic musculoskeletal diseases in China. Many trails have shown that moxibustion therapy is effective in treating primary osteoporosis. The protocol aims to present the methods used to access the effectiveness and safety of moxibustion therapy for patients with primary osteoporosis. Methods The following databases will be searched from their inception: the Cochrane Central Register of Controlled Trails(CENTRAL), Pubmed, EMBASE, China National Knowledge Infrastructure(CNKI), Chinese Biomedical Literature Database(CBM), Chinese Scientific Journal Database (VIP database), and Wan-Fang Database. Clinical randomized controlled trials related to moxibustion therapy for treating primary osteoporosis will be included, regardless of publication status and languages. Study selection, data collection, and quality assessment will be independently conducted by 2 researchers. We will select the fixed-effects or random-effects model according to the heterogeneity assessment for data synthesis. Bone mineral density(BMD) will be the primary outcomes. Visual analogue scale(VAS), response rate, TCM Syndrome scale(TCMSS), bone gla protein(BGP), alkaline phosphatase(BALP), blood calcium(Ca), blood phosphate(P), quality of life(QOL) will be the second outcomes. If it is appropriate for meta-analysis, RevMan V.5.3 statistical software will be used. Otherwise, a systematic narrative synthesis will be conducted. The results will be presented as risk ratio (RR) with 95% confidence intervals (CIs) for dichotomous data and weight mean difference(WMD) or standard mean difference (SMD) 95% CIs for continuous data. Trial registration number PROSPERO CRD42019129507.
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