基于传感器的康复疗法 (SR) 对慢性膝关节疼痛 (CKP) 结果的影响--系统回顾与元分析 (SRMA)。

IF 0.8 Q4 SURGERY
Surgical technology international Pub Date : 2024-11-25
Leeu Jun Jie, Tao Xinyu, Angeline Ai Ling, Hamid Rahmatullah
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引用次数: 0

摘要

简介:本研究旨在评估传感器康复(SR)对慢性膝关节疼痛(CKP)疗效的影响:本研究旨在评估基于传感器的康复疗法(SR)对慢性膝关节疼痛(CKP)疗效的影响:检索了从开始到 2023 年 4 月的 PubMed、Embase、CINAHL、SCOPUS、Cochrane 图书馆、灰色文献和参考文献。仅纳入了评估SR对CKP影响的随机对照试验(RCT)和队列研究。纳入和排除标准基于研究类型、研究对象、干预措施、结果、语言和数据的可用性。在筛选出的 937 项研究中,共有 10 项研究的 4347 名患者符合筛选标准。各研究对干预后的结果进行了比较。此外,还对 KOOS 子量表进行了元分析。文献检索和数据提取由三位独立审稿人完成。两名审稿人独立进行定量数据提取,然后在 Covidence 上进行汇编和交叉引用,第三名研究人员独立协助交叉引用过程,以尽量减少判断错误:使用的传感器包括可穿戴传感器、足底控制传感器、嵌入式传感器和光学传感器。干预计划的实施和评估的时间点存在很大差异。从基线到干预后,KOOS 的总分都有所提高,采用基于虚拟人的生物反馈技术的研究取得了更好的效果。然而,对KOOS分量表的荟萃分析并未显示对照组和干预组之间存在临床显著差异:没有足够的证据支持在 CKP 患者中常规使用 SR。然而,有一些证据表明,在多方面的治疗方法中结合 SR 和基于虚拟人的生物反馈,可能会比仅仅使用传感器作为活动追踪器取得更好的疗效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effect of Sensor-Based Rehabilitation (SR) on Chronic Knee Pain (CKP) Outcomes-A Systematic Review and Meta-Analysis (SRMA).

Introduction: This study aims to evaluate the effect of sensor-based rehabilitation (SR) on chronic knee pain (CKP) outcomes.

Materials and methods: PubMed, Embase, CINAHL, SCOPUS, Cochrane Library, grey literature, and bibliographic references were searched from inception to April 2023. Only randomized controlled trials (RCTs) and cohort studies evaluating the outcomes of SR on CKP were included. Inclusion and exclusion criteria were based on type of study, research subjects, intervention, outcome, language, and availability of data. Out of 937 studies screened, a total of 10 studies with 4347 patients met selection criteria. Comparison of outcomes following intervention was conducted across studies. Meta-analysis of KOOS subscales was also conducted. Literature retrieval and data extraction were conducted by three independent reviewers. Two reviewers performed quantitative data extraction independently before compilation and cross-referencing on Covidence with a third researcher assisting in the cross-referencing process independently to minimise judgment errors.

Results: The sensors utilized included wearable sensors, plantar-controlled sensors, embedded sensors, and optical sensors. There was a high degree of variability in the conduct of the intervention programs and timepoint of assessment. There was an improvement in the KOOS aggregate scores from baseline to post intervention with better improvements seen in studies incorporating avatar-based biofeedback. However, meta-analysis of the KOOS subscales did not show clinically significant differences between control and intervention groups.

Conclusion: There is insufficient evidence to support the routine use of SR in patients with CKP. However, there is some evidence to suggest that incorporation of SR with avatar-based biofeedback in a multi-faceted treatment approach may yield better outcomes than the use of sensors as merely activity trackers.

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CiteScore
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