Effect of manual soft tissue therapy on the pain in patients with chronic neck pain: A systematic review and meta-analysis

漏斗图 出版偏见 医学 荟萃分析 科克伦图书馆 按摩 颈部疼痛 子群分析 物理疗法 系统回顾 随机对照试验 临床试验 梅德林 慢性疼痛 林地 内科学 替代医学 病理 法学 政治学
作者
Si-Qi Wang,Aiyun Jiang,Qi Gao
出处
期刊:Complementary Therapies in Clinical Practice [Elsevier BV]
卷期号:49: 101619-101619 被引量:20
标识
DOI:10.1016/j.ctcp.2022.101619
摘要

To systematically evaluate the impact of manual soft tissue therapy (MSTT) on the degree of pain in patients with chronic neck pain (CNP).Trials included in the meta-analysis were identified by searching 5 English databases, including the PubMed, Embase, Cochrane Library, Web of Science and U.S. Clinical Trial Registry databases. The search was conducted with the subject terms neck pain, soft tissue treatment, massage, and myofascial release. We assessed the included trials using the Cochrane risk-of-bias tool. STATA statistical software version 16.0 was used for statistical analysis. Additionally, subgroup analysis and sensitivity analysis were performed to analyze the sources of heterogeneity and assess the stability of the research results. Begg's funnel plot and Egger's publication bias plot were used to assess potential publication bias.This systematic review included a total of 12 randomized controlled trials (566 patients in total). The participants were between 18 and 85 years old. Most of the included studies were of medium quality. This meta-analysis validated the effectiveness of MSTT in alleviating pain symptoms in patients with CNP (ES: 0.83; 95% CI: 1.15 to -0.51; P = 0.001). Egger's publication bias plot and Begg's funnel plot indicated that there may be potential publication bias.This meta-analysis found that MSTT has a significant effect on alleviating the pain of patients with CNP. In addition, the use of different pain measurement tools may influence effect of the intervention, but more clinical studies are needed in the future to determine the specific effect.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wls发布了新的文献求助10
刚刚
BenjaminBrain完成签到,获得积分10
1秒前
XFF发布了新的文献求助10
2秒前
两只晕虾完成签到,获得积分10
3秒前
希望天下0贩的0应助YoYo采纳,获得10
3秒前
兴奋冬萱发布了新的文献求助10
4秒前
7秒前
于是真的完成签到,获得积分10
8秒前
9秒前
moya发布了新的文献求助10
10秒前
张欢馨应助小灰灰采纳,获得10
10秒前
11秒前
11秒前
12秒前
xf完成签到,获得积分10
14秒前
Blossom发布了新的文献求助10
14秒前
鼻揩了转去应助alps采纳,获得10
14秒前
科研通AI6.3应助凌晨洋采纳,获得10
15秒前
15秒前
16秒前
16秒前
xphpyy完成签到,获得积分10
17秒前
闪闪的老虎完成签到,获得积分20
17秒前
烟花应助不谢特采纳,获得10
17秒前
17秒前
受伤凌蝶发布了新的文献求助10
17秒前
YoYo发布了新的文献求助10
17秒前
张荣钦关注了科研通微信公众号
18秒前
sunnio完成签到,获得积分10
19秒前
阿飞发布了新的文献求助20
20秒前
20秒前
浮沉发布了新的文献求助10
20秒前
21秒前
21秒前
21秒前
俏皮的孤丹完成签到 ,获得积分10
21秒前
23秒前
夜信发布了新的文献求助10
23秒前
24秒前
陈瑾初完成签到,获得积分10
24秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7602854
求助须知:如何正确求助?哪些是违规求助? 9178899
关于积分的说明 19656853
捐赠科研通 7178252
什么是DOI,文献DOI怎么找? 3269095
关于科研通互助平台的介绍 2433276
邀请新用户注册赠送积分活动 2262941