Cockx Helena, Klaver Emilie, Tjepkema-Cloostermans Marleen, van Wezel Richard, Nonnekes Jorik
Department of Biophysics Radboud University, Donders Institute for Brain, Cognition and Behaviour Nijmegen The Netherlands.
Department of Neurology and Clinical Neurophysiology Medical Spectrum Twente Enschede The Netherlands.
Mov Disord Clin Pract. 2022 Sep 18;9(8):1099-1104. doi: 10.1002/mdc3.13556. eCollection 2022 Nov.
Freezing of gait, a disabling episodic symptom, is difficult to assess as the exact begin- and endpoint of an episode is not easy to specify. This hampers scientific and clinical progress. The current golden standard is video annotation by two independent raters. However, the comparison of the two ratings gives rise to non-overlapping, gray areas.
To provide a guideline for dealing with these gray areas.
METHODS/RESULTS: We propose a standardized procedure for handling the gray areas based on two parameters, the tolerance and correction parameter. Furthermore, we recommend the use of positive agreement, negative agreement, and prevalence index to report interrater agreement instead of the commonly used intraclass correlation coefficient or Cohen's kappa. This theoretical guideline was implemented in an open-source practical tool, (https://github.com/helenacockx/FOGtool).
This paper aims to contribute to the standardization of freezing of gait assessment, thereby improving data sharing procedures and replicability of study results
冻结步态是一种致残性发作性症状,由于发作的确切起始和终点不易确定,因此难以评估。这阻碍了科学和临床进展。当前的金标准是由两名独立评估者进行视频标注。然而,两种评分的比较会产生不重叠的灰色区域。
提供处理这些灰色区域的指南。
方法/结果:我们基于两个参数,即容忍度和校正参数,提出了一种处理灰色区域的标准化程序。此外,我们建议使用阳性一致性、阴性一致性和患病率指数来报告评估者间的一致性,而不是常用的组内相关系数或科恩kappa系数。这一理论指南在一个开源实用工具(https://github.com/helenacockx/FOGtool)中得以实现。
本文旨在促进冻结步态评估的标准化,从而改善数据共享程序和研究结果的可重复性。