Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
Department of Emergency Medicine, University of Michigan. Ann Arbor, Michigan, USA.
J Neurotrauma. 2020 Dec 15;37(24):2674-2679. doi: 10.1089/neu.2019.6969. Epub 2020 Aug 26.
The Glasgow Outcome Scale-Extended (GOS-E), an ordinal scale measuring global outcome, is used commonly as the primary outcome measure in clinical trials of traumatic brain injury. Analysis is often based on a dichotomization and thus has inherent statistical limitations, including loss of information related to the collapse of adjacent categories. A fixed dichotomization defines favorable outcome consistently for all subjects, whereas a sliding dichotomy tailors the definition of favorable outcome according to baseline prognosis/severity. Literature indicates that the sliding dichotomy is more statistically efficient than the fixed dichotomy; however, the sliding dichotomy still collapses categories and therefore discards information. We propose an alternative, a sliding scoring system for the GOS-E, intended to address the limitations of the sliding dichotomy. The score is assigned based on the number of levels between the achieved score and the favorable cut-point. The proposed scoring system reflects the magnitude of change, where change is defined according to each subject's baseline prognosis. Because the score is approximately continuous, statistical methods can rely on the normal distribution, both for analysis and study design. Two examples show the corresponding potential for improved power. A sliding score approach allows for quantification of the magnitude of change while still accounting for prognosis. Scientific advantages include increased power and an intuitive interpretation.
格拉斯哥结局量表扩展版(GOS-E)是一种衡量总体结局的有序量表,常用于创伤性脑损伤临床试验的主要结局指标。分析通常基于二分法,因此具有固有的统计局限性,包括与相邻类别崩溃相关的信息丢失。固定二分法为所有受试者一致定义有利结局,而滑动二分法根据基线预后/严重程度调整有利结局的定义。文献表明,滑动二分法比固定二分法更具统计学效率;然而,滑动二分法仍然会合并类别,因此会丢弃信息。我们提出了一种替代方法,即 GOS-E 的滑动评分系统,旨在解决滑动二分法的局限性。评分是根据达到的评分和有利分界点之间的水平数来确定的。所提出的评分系统反映了变化的幅度,变化是根据每个受试者的基线预后来定义的。由于评分近似连续,统计方法可以依赖正态分布进行分析和研究设计。两个示例展示了提高功效的潜在可能性。滑动评分方法允许量化变化的幅度,同时仍然考虑预后。科学优势包括提高功效和直观的解释。