生物反馈
医学
物理疗法
荟萃分析
置信区间
严格标准化平均差
随机对照试验
物理医学与康复
心理干预
奇纳
梅德林
外科
内科学
政治学
精神科
法学
作者
Danilo Harudy Kamonseki,Letícia Bojikian Calixtre,Rodrigo Py Gonçalves Barreto,Paula Rezende Camargo
标识
DOI:10.1177/0269215521990950
摘要
To systematically review the effectiveness of electromyographic biofeedback interventions to improve pain and function of patients with shoulder pain.Systematic review of controlled clinical trials.Databases (Medline, EMBASE, CINAHL, PEDro, CENTRAL, Web of Science, and SCOPUS) were searched in December 2020.Randomized clinical trials that investigated the effects of electromyographic biofeedback for individuals with shoulder pain. Patient-reported pain and functional outcomes were collected and synthesized.The level of evidence was synthesized using GRADE and Standardized Mean Differences and 95% confidence interval were calculated using a random-effects inverse variance model for meta-analysis.Five studies were included with a total sample of 272 individuals with shoulder pain. Very-low quality of evidence indicated that electromyographic biofeedback was not superior to control for reducing shoulder pain (standardized mean differences = -0.21, 95% confidence interval: -0.67 to 0.24, P = 0.36). Very-low quality of evidence indicated that electromyographic biofeedback interventions were not superior to control for improving shoulder function (standardized mean differences = -0.11, 95% confidence interval: -0.41 to 0.19, P = 0.48).Electromyographic biofeedback may be not effective for improving shoulder pain and function. However, the limited number of included studies and very low quality of evidence does not support a definitive recommendation about the effectiveness of electromyographic biofeedback to treat individuals with shoulder pain.
科研通智能强力驱动
Strongly Powered by AbleSci AI