医学
荟萃分析
物理疗法
严格标准化平均差
置信区间
心理干预
纳入和排除标准
康复
腰痛
随机对照试验
平均差
内科学
替代医学
病理
精神科
作者
Olivier Tri-Trinh Lam,David M Strenger,Matthew Chan-Fee,Paul Thuong Pham,Richard Preuss,Shawn M. Robbins
标识
DOI:10.2519/jospt.2018.7562
摘要
Study Design Literature review with meta-analysis. Background The McKenzie Method of Mechanical Diagnosis and Therapy (MDT), a classification-based system, was designed to classify patients into homogeneous subgroups to direct treatment. Objectives To examine the effectiveness of MDT for improving pain and disability in patients with either acute (less than 12 weeks in duration) or chronic (greater than 12 weeks in duration) low back pain (LBP). Methods Randomized controlled trials examining MDT in patients with LBP were identified from 6 databases. Independent investigators assessed the studies for exclusion, extracted data, and assessed risk of bias. The standardized mean difference (SMD) and 95% confidence interval were calculated to compare the effects of MDT to those of other interventions in patients with acute or chronic LBP. Results Of the 17 studies that met the inclusion criteria, 11 yielded valid data for analysis. In patients with acute LBP, there was no significant difference in pain resolution (P = .11) and disability (P = .61) between MDT and other interventions. In patients with chronic LBP, there was a significant difference in disability (SMD, −0.45), with results favoring MDT compared to exercise alone. There were no significant differences between MDT and manual therapy plus exercise (P>.05) for pain and disability outcomes. Conclusion There is moderate- to high-quality evidence that MDT is not superior to other rehabilitation interventions for reducing pain and disability in patients with acute LBP. In patients with chronic LBP, there is moderate- to high-quality evidence that MDT is superior to other rehabilitation interventions for reducing pain and disability; however, this depends on the type of intervention being compared to MDT. Level of Evidence Therapy, level 1a. J Orthop Sports Phys Ther 2018;48(6):476–490. Epub 30 Mar 2018. doi:10.2519/jospt.2018.7562
科研通智能强力驱动
Strongly Powered by AbleSci AI