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Dose-response relationship between acupuncture time parameters and the effect...

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发表于 2023-10-17 00:02:43 | 只看该作者 回帖奖励 |正序浏览 |阅读模式
Dose-response relationship between acupuncture time parameters and the effects on chronic non-specific low back pain: a systematic review and Bayesian model-based network meta-analysis protocol
针刺时间参数与慢性非特异性腰痛疗效的剂量反应关系:系统综述和基于贝叶斯模型的网络荟萃分析方案
Abstract
Introduction: Low back pain (LBP) is a major global public health problem and the majority (nearly 90%) of patients with LBP suffer from non-specific LBP (NSLBP). Acupuncture has been widely used for relieving pain and is recommended as a first-line treatment in LBP guidelines. However, the guidelines do not recommend a specific acupuncture temporal dosage. A Bayesian model-based network meta-analysis (MBNMA) will be conducted to optimise the dosages of time parameters (session, frequency and duration).
Methods and analysis: The following databases will be searched from their inception until 1 July 2023: MEDLINE (via PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE, Web of Science, Cumulative Index to Nursing & Allied Health Literature (CINAHL), alternative health research database (Alt HealthWatch), China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database for Chinese Technical Periodicals, ClinicalTrials.gov, the WHO's International Clinical Trial and Chinese Clinical Registry. RCTs assessing the effects of acupuncture on chronic NSLBP will be selected. The primary outcome measure will be the improvement in pain intensity at different acupuncture time points. The MBNMA will be performed using R V.4.2.1 with related R packages. Risk of Bias V.2.0 and Confidence in Network Meta-Analysis will be used to assess the evidence quality.
Ethics and dissemination: Ethical approval is not required for literature-based studies. The results will be published in peer-reviewed journals or conferences.
摘要引言:腰痛(LBP)是一个主要的全球公共卫生问题,大多数(近90%)LBP患者患有非特异性LBP(NSLBP)。针灸已被广泛用于缓解疼痛,并被推荐为LBP指南中的一线治疗方法。然而,该指南并不推荐特定的针灸时间剂量。将进行基于贝叶斯模型的网络荟萃分析(MBNMA),以优化时间参数(会话、频率和持续时间)的剂量。方法和分析:以下数据库将从创建到2023年7月1日进行搜索:MEDLINE(通过PubMed)、Cochrane对照试验中央登记册(Central)、EMBASE、Web of Science、护理与联合健康文献累积索引(CINAHL)、替代健康研究数据库(Alt-HealthWatch)、中国知识基础设施(CNKI)、万方数据库,中国技术期刊VIP数据库,ClinicalTrials.gov,世界卫生组织国际临床试验和中国临床注册中心。将选择评估针灸对慢性NSLBP影响的随机对照试验。主要的结果测量将是在不同针刺时间点疼痛强度的改善。MBNMA将使用R V.4.2.1和相关的R包进行。偏倚风险V.2.0和网络元分析置信度将用于评估证据质量。伦理和传播:基于文献的研究不需要伦理批准。研究结果将发表在同行评审的期刊或会议上。
https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/37813535/


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