Suppr超能文献

麦克内马尔变化指数在单个个体水平上显示变化方面比最小可察觉变化更有效。

The McNemar Change Index worked better than the Minimal Detectable Change in demonstrating the change at a single subject level.

机构信息

IRCCS Fondazione Don Carlo Gnocchi Onlus, via Alfonso Capecelatro 66, 20148 Milano, Italy.

Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Via Dezza 48, 20144 Milano, Italy.

出版信息

J Clin Epidemiol. 2021 Mar;131:79-88. doi: 10.1016/j.jclinepi.2020.11.015. Epub 2020 Nov 24.

Abstract

BACKGROUND AND OBJECTIVE

To assess the agreement between the Rasch Change Index (RCI), minimal detectable change (MDC), and McNemar Change Index (McCI), three statistics for demonstrating the patient's improvement/deterioration.

METHODS

The Mini-Balance Evaluation Systems Test (Mini-BESTest (MB)) (a balance scale developed with the Rasch analysis) was administered before and after rehabilitation to 315 neurological patients. The MB RCI was chosen as the criterion standard for detecting the patient's improvement. Positive likelihood ratios and negative likelihood ratios (PLRs and NLRs, respectively) were used to evaluate the MDC and McCI accuracy in identifying the patient's improvement. Three different MB MDCs were assessed.

RESULTS

One-hundred patients improved their MB in accordance with the RCI. All three MDCs and the McCI were solid in ruling out the patient's improvement (NLR <0.2). The McCI and the largest MDC were also good in detecting the patient's improvement (PLR>5), whereas the smaller MDCs were not. Of the four indices, McCI was the most robust in case of missing items.

CONCLUSION

A patient stable in accordance with the MDCs or McCI is actually stable as per the criterion standard. To be reasonably sure that the patient is actually improved, larger MDC values or the McCI should be preferred, and the McCI is preferable if there are missing items.

摘要

背景与目的

评估 Rasch 变化指数(RCI)、最小可检测变化(MDC)和 McNemar 变化指数(McCI)这三种统计学方法在显示患者改善/恶化方面的一致性,这三种统计学方法用于评估患者的改善情况。

方法

对 315 名神经科患者进行康复前后的 Mini-Balance Evaluation Systems Test(Mini-BESTest,MB)(采用 Rasch 分析开发的平衡量表)评估。选择 MB RCI 作为检测患者改善的标准。阳性似然比和阴性似然比(PLR 和 NLR,分别)用于评估 MDC 和 McCI 在识别患者改善方面的准确性。评估了三种不同的 MB MDC。

结果

根据 RCI,有 100 名患者的 MB 得到改善。所有三种 MDC 和 McCI 在排除患者改善方面都很可靠(NLR <0.2)。McCI 和最大的 MDC 也能很好地检测到患者的改善(PLR>5),而较小的 MDC 则不行。在四种指标中,McCI 在出现缺失项目的情况下最为稳健。

结论

根据 MDC 或 McCI 稳定的患者实际上根据标准是稳定的。为了合理确定患者确实有所改善,应选择较大的 MDC 值或 McCI,并且如果存在缺失项目,则应选择 McCI。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验