基层医疗机构慢性腰背痛预后模型偏差风险高且缺乏验证--需要高质量的研究:系统综述。

IF 6 1区 医学 Q1 ORTHOPEDICS
Yanyan Fu, Daniel Feller, Bart Koes, Alessandro Chiarotto
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引用次数: 0

摘要

目的:概述初级保健中慢性腰背痛 (LBP) 患者的现有预后模型。设计:预后系统综述。文献检索:我们在 Medline、Embase、Web of Science 和 CINAHL 数据库中检索了相关研究(截至 2022 年 7 月 13 日),并在 Web of Science 中进行了引文追踪。研究选择标准:我们纳入了针对初级保健中慢性腰背痛成人患者开发或验证预后模型的观察性(队列或嵌套病例对照)研究和随机对照试验。关注的结果包括任何随访时间点的身体功能、疼痛强度和健康相关生活质量。数据合成:使用CHARMS核对表提取数据,并使用PROBAST工具评估模型的偏倚风险。由于检索到的研究数量较多,且存在异质性,我们对结果进行了描述性报告。结果:10 项研究(共筛选出 5593 次点击)的 34 个模型符合我们的纳入标准,其中 6 项为开发研究,4 项为外部验证研究。五项研究报告了模型的曲线下面积(从 0.48 到 0.84 不等),而没有研究报告校准指数。最有前途的模型是厄勒布鲁肌肉骨骼疼痛筛查问卷短表。结论:鉴于偏倚风险较高且缺乏外部验证,我们不建议临床医生在初级医疗机构中对慢性腰背痛患者使用预后模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostic Models for Chronic Low Back Pain Outcomes in Primary Care Are at High Risk of Bias and Lack Validation-High-Quality Studies Are Needed: A Systematic Review.

OBJECTIVE: To provide an updated overview of available prognostic models for people with chronic low back pain (LBP) in primary care. DESIGN: Prognosis systematic review LITERATURE SEARCH: We searched for relevant studies on MEDLINE, Embase, Web of Science, and CINAHL databases (up to July 13, 2022), and performed citation tracking in Web of Science. STUDY SELECTION CRITERIA: We included observational (cohort or nested case-control) studies and randomized controlled trials that developed or validated prognostic models for adults with chronic LBP in primary care. The outcomes of interest were physical functioning, pain intensity, and health-related quality of life at any follow-up time-point. DATA SYNTHESIS: Data were extracted using the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS), and the Prediction model Risk of Bias Assessment Tool (PROBAST) tool was used to evaluate the risk of bias of the models. Due to the number of studies retrieved and the heterogeneity, we reported the results descriptively. RESULTS: Ten studies (out of 5593 hits screened) with 34 models met our inclusion criteria, of which six are development studies and four are external validation studies. Five studies reported the area under the curve of the models (ranging from 0.48 to 0.84), whereas no study reported calibration indices. The most promising model is the Örebro Musculoskeletal Pain Screening Questionnaire Short-Form. CONCLUSIONS: Given the high risk of bias and lack of external validation, we cannot recommend that clinicians use prognostic models for patients with chronic LBP in primary care settings. J Orthop Sports Phys Ther 2024;54(5):1-13. Epub 15 February 2024. doi:10.2519/jospt.2024.12081.

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来源期刊
CiteScore
8.00
自引率
4.90%
发文量
101
审稿时长
6-12 weeks
期刊介绍: The Journal of Orthopaedic & Sports Physical Therapy® (JOSPT®) publishes scientifically rigorous, clinically relevant content for physical therapists and others in the health care community to advance musculoskeletal and sports-related practice globally. To this end, JOSPT features the latest evidence-based research and clinical cases in musculoskeletal health, injury, and rehabilitation, including physical therapy, orthopaedics, sports medicine, and biomechanics. With an impact factor of 3.090, JOSPT is among the highest ranked physical therapy journals in Clarivate Analytics''s Journal Citation Reports, Science Edition (2017). JOSPT stands eighth of 65 journals in the category of rehabilitation, twelfth of 77 journals in orthopedics, and fourteenth of 81 journals in sport sciences. JOSPT''s 5-year impact factor is 4.061.
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