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Acupuncture and Moxibustion for restless legs syndrome: A systematic review and meta-analysis protocol

机译：针灸和艾灸对焦躁的腿综合征：系统评论和元分析方案

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Introduction: Previous reviews indicate that the effect of acupuncture and moxibustion (AM) on restless legs syndrome (RLS) remains uncertainty. The results of trials published in the past 12 years may possibly change this situation, but an updated systematic review is not available. We therefore designed this study to systematically assess the effectiveness and safety of AM for treating RLS. Methods and analysis: Nine online databases will be searched from inception to October 01 2019; there will be no language restrictions on the included trials. Randomized controlled trials that included patients with RLS receiving AM therapy versus a control group will be included. The selection of studies, risk of bias assessment and data extraction will be conducted by 2 independent researchers. Data synthesis will be performed by using RevMan V.5.2 software with fixed effects model or random effects model, according to the heterogeneity test. The dichotomous data will be presented as risk ratios with 95% confidence intervals (Cis) and the continuous data will be presented as weighted mean differences or standardized mean differences with 95% CIs. Evidence quality will be evaluated by using the grading of recommendations assessment (GRADE), development and evaluation system with low risk, unclear risk, and high risk. Ethics and dissemination: This systematic review and meta-analysis is literature research which will not refer to private information and not impair one's health, so, ethical approval is not required. The results of this study will be published in a journal or concerned conferences.
机译：简介：之前的评论表明，针灸和艾灸（AM）对焦躁腿综合征（RLS）的影响仍然不确定性。过去12年出版的试验结果可能会改变这种情况，但更新的系统审查不可用。因此，我们设计该研究以系统地评估AM用于治疗RLS的有效性和安全性。方法和分析：将从2019年10月1日开始搜索九个在线数据库;随附的试验将没有语言限制。包括随机对照试验，包括接受AM治疗的RLS患者，将被包括对照组。研究的选择，偏见评估和数据提取的风险将由2名独立研究人员进行。根据异质性测试，使用Revman V.5.2软件使用Revman V.5.2软件进行数据综合，通过固定效果模型或随机效果模型进行。二分法数据将被呈现为风险比为95％置信区间（CIS），并且连续数据将作为加权平均差异或标准化的平均差异，与95％CIS。通过使用具有低风险，风险，风险和高风险的建议评估（级别），开发和评估系统的评估，将通过评估来评估证据质量。道德和传播：这种系统审查和荟萃分析是文学研究，不会指的是私人信息而不是损害一个人的健康，因此，不需要道德批准。本研究的结果将在杂志或有关会议中发表。

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