Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
Department of Spine Surgery, Mallika Spine Centre, Guntur, India.
Neurosurgery. 2021 May 13;88(6):1065-1073. doi: 10.1093/neuros/nyab023.
Existing adult spinal deformity (ASD) classification systems are based on radiological parameters but management of ASD patients requires a holistic approach. A comprehensive clinically oriented patient profile and classification of ASD that can guide decision-making and correlate with patient outcomes is lacking.
To perform a systematic review to determine the purpose, characteristic, and methodological quality of classification systems currently used in ASD.
A systematic literature search was conducted in MEDLINE, EMBASE, CINAHL, and Web of Science for literature published between January 2000 and October 2018. From the included studies, list of classification systems, their methodological measurement properties, and correlation with treatment outcomes were analyzed.
Out of 4470 screened references, 163 were included, and 54 different classification systems for ASD were identified. The most commonly used was the Scoliosis Research Society-Schwab classification system. A total of 35 classifications were based on radiological parameters, and no correlation was found between any classification system levels with patient-related outcomes. Limited evidence of limited quality was available on methodological quality of the classification systems. For studies that reported the data, intraobserver and interobserver reliability were good (kappa = 0.8).
This systematic literature search revealed that current classification systems in clinical use neither include a comprehensive set of dimensions relevant to decision-making nor did they correlate with outcomes. A classification system comprising a core set of patient-related, radiological, and etiological characteristics relevant to the management of ASD is needed.
现有的成人脊柱畸形(ASD)分类系统基于影像学参数,但 ASD 患者的管理需要采用整体方法。目前缺乏一种全面的、基于临床的 ASD 患者特征和分类方法,这种方法既能指导决策,又能与患者的结局相关联。
对现有的 ASD 分类系统进行系统回顾,以确定其用途、特征和方法学质量。
在 MEDLINE、EMBASE、CINAHL 和 Web of Science 中进行系统的文献检索,检索时间为 2000 年 1 月至 2018 年 10 月。对纳入的研究,分析其分类系统列表、方法学测量特性及其与治疗结局的相关性。
在筛选出的 4470 篇参考文献中,有 163 篇被纳入,共确定了 54 种 ASD 分类系统。最常用的是 SRS-Schwab 分类系统。共有 35 种分类是基于影像学参数的,且没有任何一种分类系统的水平与患者相关的结局相关。对分类系统方法学质量的研究,仅有少量低质量证据。对于报告数据的研究,观察者内和观察者间的可靠性良好(kappa=0.8)。
本次系统文献检索显示,目前临床应用的分类系统既没有包含一套与决策相关的全面维度,也没有与结局相关联。需要一种包含与 ASD 管理相关的患者相关、影像学和病因学特征的核心分类系统。