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神经软体征有多软?七种最常用的神经软体征量表中的 71 种症状的内容重叠分析。

How soft are neurological soft signs? Content overlap analysis of 71 symptoms among seven most commonly used neurological soft signs scales.

机构信息

Department of Adult Psychiatry, Chair of Psychiatry, Jagiellonian University Medical College, Kopernika St 21A, 31-501, Cracow, Poland.

Department of Psychiatry, Jagiellonian University Medical College, Kopernika St 21A, 31-501, Cracow, Poland.

出版信息

J Psychiatr Res. 2021 Jun;138:404-412. doi: 10.1016/j.jpsychires.2021.04.020. Epub 2021 Apr 29.

DOI:10.1016/j.jpsychires.2021.04.020
PMID:33962127
Abstract

INTRODUCTION

Neurological soft signs (NSS) are described as subtle, non-localizable neurological abnormalities that cannot be related to impairment of a specific brain region or are not believed to be typical for any specific neurological disease. Crucial issue concerning research on NSS are the instruments with which they are assessed, since the results and the conclusions of the studies are mediated by the characteristics of such instruments. There is common, silent and unverified assumption that NSS rating scales may be used as interchangeable measure of the same phenomenon.

AIM

To investigate the differences in item content and the interchangeability of commonly used NSS scales.

METHODS

A content analysis was carried out to determine symptom overlap among the chosen seven most often used scales using the Jaccard index (0 = no overlap, 1 = full overlap) according to the methodology of Fried 2017.

RESULTS

71 NSSs were distinguished from 167 items used in 7 above mentioned instruments. Mean overlap among all scales is low (0.27), overlap among specific scales ranges from 0.1 to 0.5.

CONCLUSIONS

The diversity of NSS in analyzed tools causes the low overlap between scales, leading to uncertainty as to whether they measure the same phenomena. This limits the reproducibility of studies and impedes the possibility of unifying the knowledge stemming from existing data. We argue that the non-localizable nature of NSS is yet to be examined.

摘要

简介

神经学软体征(NSS)被描述为细微的、无法定位的神经异常,无法与特定脑区的损伤相关联,也不被认为是任何特定神经系统疾病的典型表现。关于 NSS 研究的关键问题是用于评估它们的工具,因为研究的结果和结论受到这些工具特征的影响。存在一个普遍的、无声的、未经证实的假设,即 NSS 评分量表可以作为同一现象的可互换衡量标准。

目的

研究常用 NSS 量表在项目内容和可互换性方面的差异。

方法

根据 Fried 2017 年的方法,我们采用 Jaccard 指数(0=无重叠,1=完全重叠)对选择的七种最常用量表进行内容分析,以确定所选择的七个最常用量表之间的症状重叠。

结果

从 7 种上述仪器中使用的 167 个项目中区分出 71 个 NSS。所有量表之间的平均重叠率较低(0.27),特定量表之间的重叠率范围从 0.1 到 0.5。

结论

分析工具中 NSS 的多样性导致了量表之间的低重叠,使得它们是否测量相同现象存在不确定性。这限制了研究的可重复性,并阻碍了从现有数据中统一知识的可能性。我们认为,NSS 的非定位性质尚未得到检验。

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