E-Ref程序的缺陷:Tie值和异常数据的比例。

IF 2.8 3区 医学 Q2 CLINICAL NEUROLOGY
Muscle & Nerve Pub Date : 2025-03-01 Epub Date: 2025-01-06 DOI:10.1002/mus.28338
Keisuke Tachiyama, Takamichi Kanbayashi, Akiko Kawabata, Satoshi Hoshino, Yosuke Miyaji, Shunsuke Kobayashi, Hirofumi Maruyama, Masahiro Sonoo
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引用次数: 0

摘要

外推参考值(E-Ref)法是一种不收集对照数据而确定截止值的新方法。我们试图应用这种方法来确定正中神经远端运动潜伏期的截止值(正中DML)。在这个过程中,我们发现了E-Ref方法的两个缺陷。首先,当0.1 ms精度测量的DML值经常取正值时,E-Ref程序不能正确工作。其次,结果受到异常值比例的影响。本研究调查了这些问题。方法:从实验室数据库中提取中位DML数据。为了解决tie值的问题,我们在原来的E-Ref方法中尝试了一个更宽的后平滑窗口。我们还设计了一种改进的预平滑方法。为了观察异常数据比例的影响,我们模拟了多个不同异常数据比例的数据集。结果:共鉴定出1016个DML值。使用原始方法,即使使用更宽的窗口,也经常将tie值引起的错误偏转识别为E-Ref点,从而导致不切实际的低值。修改后的方法没有这个缺点。各方法的E-Ref值均随异常值比例的增加而增加。讨论:通过对数据进行预平滑处理,可以解决E-Ref方法的一个缺陷——关系值问题。E-Ref值受正常数据占比的影响,异常数据占比小于20%的数据集可能会获得较好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pitfalls of the E-Ref Procedure: Tie Values and the Proportion of the Abnormal Data.

Introduction: Extrapolated reference values (E-Ref) procedure is a new method for determining the cutoff value without collecting the control data. We tried to apply this method to determine the cutoff value for the distal motor latency of the median nerve (median DML). During this process, we found two pitfalls of the E-Ref method. First, the E-Ref procedure did not correctly work when the DML values measured with 0.1 ms accuracy frequently took on tie values. Second, the result was influenced by the proportion of abnormal values. This study investigated these issues.

Methods: Data of the median DML were extracted from our laboratory database. To solve the problem of tie values, we tried a wider post-smoothing window in the original E-Ref method. We also devised a modified method conducting pre-smoothing. To see the effect of the proportion of abnormal data, we simulated many datasets having different proportion of abnormal data.

Results: In total, 1016 DML values were identified. False deflections due to tie values were often identified as the E-Ref point using the original methods even using a wider window, resulting in unrealistically low values. Modified method was free from this drawback. For all methods, the E-Ref value increased as the proportion of abnormal values increased.

Discussion: The problem of tie values, a pitfall of the E-Ref method, might be solved by pre-smoothing the data. The E-Ref value is influenced by the proportion of the normal data, and datasets containing less than 20% abnormal data may achieve appropriate results.

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来源期刊
Muscle & Nerve
Muscle & Nerve 医学-临床神经学
CiteScore
6.40
自引率
5.90%
发文量
287
审稿时长
3-6 weeks
期刊介绍: Muscle & Nerve is an international and interdisciplinary publication of original contributions, in both health and disease, concerning studies of the muscle, the neuromuscular junction, the peripheral motor, sensory and autonomic neurons, and the central nervous system where the behavior of the peripheral nervous system is clarified. Appearing monthly, Muscle & Nerve publishes clinical studies and clinically relevant research reports in the fields of anatomy, biochemistry, cell biology, electrophysiology and electrodiagnosis, epidemiology, genetics, immunology, pathology, pharmacology, physiology, toxicology, and virology. The Journal welcomes articles and reports on basic clinical electrophysiology and electrodiagnosis. We expedite some papers dealing with timely topics to keep up with the fast-moving pace of science, based on the referees'' recommendation.
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