Efficacy of pelvic floor muscle training with physical therapy for low back pain: A systematic review and meta-analysis

医学 物理疗法 盆底 科克伦图书馆 盆底肌 奇纳 盆腔疼痛 心理干预 梅德林 荟萃分析 腰痛 物理医学与康复 随机对照试验 分级(工程) 外科 替代医学 内科学 护理部 病理 政治学 法学 土木工程 工程类
作者
Youngeun Lim,Yerim Do,Seon Heui Lee,Haneul Lee
出处
期刊:Clinical Rehabilitation [SAGE]
卷期号:38 (12): 1590-1608 被引量:1
标识
DOI:10.1177/02692155241287766
摘要

Objective To assess the efficacy of pelvic floor muscle training and physical therapy interventions in patients with low back pain. Data sources The Ovid–Medline, Ovid–Embase, Cochrane Library, CINAHL, Web of Science, and PEDro databases were searched for randomised, controlled trials published in English or Korean between database inception and September 2024. Review Methods Studies providing pelvic floor muscle training in individuals with low back pain were included. The risk of bias using the Cochrane Risk of Bias 2 tool and the grading of recommendation, assessment, development, and evaluation (GRADE) system was used to evaluate the quality of evidence. The meta-analysis was performed using Review Manager software 5.4. Results Nineteen studies were included in this review. Pelvic floor muscle training showed low certainty evidence for improving pain (standardised mean difference = −0.73, 95% CI [−1.10, −0.36]) and reflected a clinically meaningful reduction in pain. The evidence for disability improvement had a low certainty (mean difference = −5.21, 95% CI [−7.15, −3.26]) due to high heterogeneity. Substantial improvements in pain and disability were observed when pelvic floor muscle training was added to standard physical therapy, with low certainty of evidence supporting these findings. Whereas pelvic floor muscle training substantially improved pain compared to other interventions, there was no marked improvement in disability. Conclusion Pelvic floor muscle training is potentially beneficial in addition to physical therapy for reducing low back pain, particularly in pregnancy-related cases. However, the evidence should be interpreted considering the quality and risk of bias.
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