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非创伤性肩部疾病的针灸治疗:系统评价与Meta分析方案

Acupuncture for Atraumatic Shoulder Conditions: Protocol for a Systematic Review and Meta-Analysis.

作者信息

Wang Yi, Xu Yan, Peng Yu, Liao Shichuan, Dai Guogang, Li Tao

机构信息

Cervicodynia/Omalgia/Lumbago/Sciatica Department 2, Sichuan Province Orthopedic Hospital, Chengdu, China.

Experiment Teaching Center for Preclinical Medicine, Chengdu Medical College, Chengdu, China.

出版信息

Front Med (Lausanne). 2022 Mar 7;9:720551. doi: 10.3389/fmed.2022.720551. eCollection 2022.

Abstract

INTRODUCTION

Shoulder pain is one of the most common musculoskeletal disorders among adults and is caused by a variety of shoulder conditions. The popularity of different acupuncture methods in the nonsurgical treatment of shoulder pain has recently increased. However, evidence regarding the efficacy of acupuncture for shoulder pain is inconsistent, and there is a lack of supporting evidence regarding the overall efficacy of different acupuncture methods for shoulder pain.

METHODS AND ANALYSIS

A systematic review will be conducted to assess the effectiveness of a wide range of acupuncture techniques for atraumatic shoulder conditions. The PubMed, EMBASE, Cochrane Central Register of Controlled Trials, Web of Science, Ovid MEDLINE, Chinese Biomedical Literature, Chinese National Knowledge Infrastructure, Wanfang, and Chongqing VIP databases will be searched to identify eligible studies. Studies will be selected according to preset inclusion and exclusion criteria and relevant data will be extracted from the final included studies. The heterogeneity, risk of bias, publication bias and evidence quality of the studies will be assessed, and a subgroup analysis and sensitivity analysis will be performed.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration number CRD42021249625.

摘要

引言

肩部疼痛是成年人中最常见的肌肉骨骼疾病之一,由多种肩部疾病引起。近年来,不同针灸方法在肩部疼痛非手术治疗中的应用日益广泛。然而,关于针灸治疗肩部疼痛疗效的证据并不一致,且缺乏不同针灸方法对肩部疼痛总体疗效的支持性证据。

方法与分析

将进行一项系统评价,以评估多种针灸技术对非创伤性肩部疾病的有效性。将检索PubMed、EMBASE、Cochrane对照试验中央注册库、Web of Science、Ovid MEDLINE、中国生物医学文献数据库、中国知网、万方数据库和维普数据库,以识别符合条件的研究。将根据预设的纳入和排除标准选择研究,并从最终纳入的研究中提取相关数据。将评估研究的异质性、偏倚风险、发表偏倚和证据质量,并进行亚组分析和敏感性分析。

系统评价注册

PROSPERO注册号CRD42021249625。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/840d/8940297/17ced3ac7e09/fmed-09-720551-g0001.jpg

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