Kinesiology Laboratory, University of Geneva and Geneva University Hospitals, Geneva, Switzerland.
Department of Rheumatology, Geneva University Hospitals, Geneva, Switzerland.
Sci Rep. 2021 Mar 12;11(1):5850. doi: 10.1038/s41598-021-84034-x.
The identification of relevant and valid biomarkers to distinguish patients with non-specific chronic low back pain (NSCLBP) from an asymptomatic population in terms of musculoskeletal factors could contribute to patient follow-up and to evaluate therapeutic strategies. Several parameters related to movement and/or muscular activity impairments have been proposed in the literature in that respect. In this article, we propose a systematic and comprehensive review of these parameters (i.e. potential biomarkers) and related measurement properties. This systematic review (PROSPERO registration number: CRD42020144877) was conducted in Medline, Embase, and Web of Knowledge databases until July 2019. In the included studies, all movements or muscular activity parameters having demonstrated at least a moderate level of construct validity were defined as biomarkers, and their measurement properties were assessed. In total, 92 studies were included. This allowed to identify 121 movement and 150 muscular activity biomarkers. An extensive measurement properties assessment was found in 31 movement and 14 muscular activity biomarkers. On the whole, these biomarkers support the primary biomechanical concepts proposed for low back pain. However, a consensus concerning a robust and standardised biomechanical approach to assess low back pain is needed.
在肌肉骨骼因素方面，识别相关且有效的生物标志物，以将患有非特异性慢性下腰痛（NSCLBP）的患者与无症状人群区分开来，这有助于患者随访并评估治疗策略。在这方面，文献中已经提出了几个与运动和/或肌肉活动障碍相关的参数。在本文中，我们提出了对这些参数（即潜在的生物标志物）及其相关测量特性进行系统和全面的综述。这项系统综述（PROSPERO 注册号：CRD42020144877）在 2019 年 7 月之前在 Medline、Embase 和 Web of Knowledge 数据库中进行。在纳入的研究中，所有表现出至少中度结构有效性的运动或肌肉活动参数均被定义为生物标志物，并对其测量特性进行了评估。总共纳入了 92 项研究。这使得我们能够识别 121 个运动和 150 个肌肉活动生物标志物。在 31 个运动和 14 个肌肉活动生物标志物中发现了广泛的测量特性评估。总的来说，这些生物标志物支持了低腰痛提出的主要生物力学概念。然而，需要就评估低腰痛的稳健和标准化生物力学方法达成共识。
