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本体感觉神经肌肉促进技术治疗肩周炎的临床疗效:一项系统评价与Meta分析

The clinical efficacy of proprioceptive neuromuscular facilitation technique in the treatment of scapulohumeral periarthritis: a systematic review and meta-analysis.

作者信息

Zhu Chengyu, Huang Xueyan, Yu Jiaying, Feng Ying, Zhou Haifang

机构信息

Hangzhou TCM Hospital of Zhejiang Chinese Medical University, No. 453 Tiyuchang Road, Xihu District, Hangzhou City, Zhejiang Province, 310007, China.

Nursing School, Zhejiang Chinese Medical University, Hangzhou, 310053, China.

出版信息

BMC Musculoskelet Disord. 2025 Mar 24;26(1):288. doi: 10.1186/s12891-025-08303-w.

DOI:10.1186/s12891-025-08303-w
PMID:40128679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11931788/
Abstract

BACKGROUND

Scapulohumeral periarthritis (SP) is a disease caused by chronic inflammation of the shoulder soft tissue area, which is characterized by shoulder pain and limited mobility. Due to the long course of disease, it often has a great impact on the life and work of patients.

OBJECTIVES

The purpose of this study was to systematically evaluate the effect of proprioceptive neuromuscular facilitation (PNF) stretching technique in the treatment of SP.

METHODS

A systematic search of 10 databases such as China National Knowledge Infrastructure (CNKI), China Biomedical Literature Database, Weipu, Wanfang, PubMed, Embase, Web of Science, Cochrane Library, Clinical Trials, and China Clinical Trial Registry Platform was performed. The retrieval time was from inception to January 2024. Two researchers screened the literature according to the inclusion and exclusion criteria, extracted the data, and evaluated the quality.Revman5.3 software was used for meta-analysis, and only descriptive analysis was performed on the outcome indicators of the number of literature ≤ 2.

RESULTS

A total of 12 articles were included, including 968 patients. The results of Meta-analysis showed that PNF technique could reduce pain intensity ((Visual analog scale (VAS) score (SMD = -0.67, 95% CI [-1.18, -0.15], P = 0.03), Japanese Orthopaedic Association (JOA) score (subjective pain score standard) (SMD = 0.79, 95% CI [0.23,1.35], P < 0.01)), improve the shoulder function of patients (SMD = 1.13, 95% CI [0.96,1.31], P < 0.01), and improve the patient's daily living ability (SMD = 1.06, 95% CI [0.77,1.34], P < 0.01). The results of descriptive analysis showed that the PNF technique could improve the psychological state of patients with scapulohumeral periarthritis to a certain extent.

CONCLUSION

The PNF technique can help patients with scapulohumeral periarthritis to relieve pain, improve shoulder function, and strengthen daily living ability. In addition, a good psychological state is conducive to better recovery of patients ' health. In clinical work, medical staff should pay attention to the psychological state of patients with SP.

CLINICAL TRIAL NUMBER

Not applicable.

摘要

背景

肩周炎是一种由肩部软组织区域慢性炎症引起的疾病,其特征为肩部疼痛和活动受限。由于病程较长,它常常对患者的生活和工作产生重大影响。

目的

本研究旨在系统评价本体感觉神经肌肉促进法(PNF)拉伸技术治疗肩周炎的效果。

方法

系统检索中国知网、中国生物医学文献数据库、维普、万方、PubMed、Embase、Web of Science、Cochrane Library、Clinical Trials、中国临床试验注册平台等10个数据库。检索时间从建库至2024年1月。由两名研究人员根据纳入和排除标准筛选文献、提取数据并评价质量。采用Revman5.3软件进行Meta分析,对文献数量≤2的结局指标仅进行描述性分析。

结果

共纳入12篇文章,包括968例患者。Meta分析结果显示,PNF技术可降低疼痛强度(视觉模拟量表(VAS)评分(标准化均数差(SMD)=-0.67,95%可信区间[-1.18,-0.15],P=0.03)、日本骨科协会(JOA)评分(主观疼痛评分标准)(SMD=0.79,95%可信区间[0.23,1.35],P<0.01)),改善患者肩部功能(SMD=1.13,95%可信区间[0.96,1.31],P<0.01),提高患者日常生活能力(SMD=1.06,95%可信区间[0.77,1.34],P<0.01)。描述性分析结果显示,PNF技术可在一定程度上改善肩周炎患者的心理状态。

结论

PNF技术可帮助肩周炎患者缓解疼痛、改善肩部功能、增强日常生活能力。此外,良好的心理状态有利于患者身体更好地康复。在临床工作中,医务人员应关注肩周炎患者的心理状态。

临床试验注册号

不适用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3189/11931788/2f113893d601/12891_2025_8303_Fig6_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3189/11931788/2f113893d601/12891_2025_8303_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3189/11931788/9823f6e5f78c/12891_2025_8303_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3189/11931788/573f7a5f5d0e/12891_2025_8303_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3189/11931788/369824927bb0/12891_2025_8303_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3189/11931788/aea05a61d18c/12891_2025_8303_Fig4_HTML.jpg
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