Transatlantic confusion in MS diagnostic criteria: one patient, two continents, zero diagnosis.

IF 1.9 Q2 MEDICINE, GENERAL & INTERNAL
Diagnosis Pub Date : 2025-11-18 eCollection Date: 2026-05-01 DOI:10.1515/dx-2025-0103
Jagannadha Avasarala
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引用次数: 0

Abstract

The lack of universal diagnostic criteria for multiple sclerosis (MS) delays diagnosis and care. Diagnostic guidelines widen existing gaps in neurological health depending on how they are applied by clinicians across the globe. The 2016 MAGNIMS and 2017 McDonald's criteria for MS exclude cerebrospinal fluid (CSF) findings, and optic neuritis (ON), respectively, opening the door for missed diagnosis, which, in under-resourced settings, could have devastating consequences. When guidelines prioritize precision over clinical inclusion, they risk excluding patients with a true diagnosis, and undermine the very utility they aim to standardize. Diagnostic frameworks must evolve not only to reflect statistical rigor but support health policy that demands the real-world consequences of underdiagnosis just as heavily as the cost of overdiagnosis. Precision with inclusivity and epidemiologic modeling should be part of that conversation. The burden of MS is immense; we need universal diagnostic criteria that cut across borders.

MS诊断标准的跨大西洋混淆:一个病人,两个大洲,零诊断。
缺乏多发性硬化症(MS)的通用诊断标准延误了诊断和治疗。诊断指南扩大了神经健康方面的现有差距,这取决于全球临床医生如何应用这些指南。2016年MAGNIMS和2017年McDonald的MS标准分别排除了脑脊液(CSF)和视神经炎(ON)的发现,这为误诊打开了大门,在资源不足的环境中,这可能会造成毁灭性的后果。当指南优先考虑准确性而不是临床纳入时,它们可能会排除真正诊断的患者,并破坏它们旨在标准化的效用。诊断框架必须不断发展,不仅要反映统计上的严谨性,而且要支持卫生政策,要求对诊断不足的现实后果和过度诊断的代价同样重视。精确、包容和流行病学模型应该成为对话的一部分。多发性硬化症的负担是巨大的;我们需要跨越国界的通用诊断标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Diagnosis
Diagnosis MEDICINE, GENERAL & INTERNAL-
CiteScore
7.20
自引率
5.70%
发文量
41
期刊介绍: Diagnosis focuses on how diagnosis can be advanced, how it is taught, and how and why it can fail, leading to diagnostic errors. The journal welcomes both fundamental and applied works, improvement initiatives, opinions, and debates to encourage new thinking on improving this critical aspect of healthcare quality.  Topics: -Factors that promote diagnostic quality and safety -Clinical reasoning -Diagnostic errors in medicine -The factors that contribute to diagnostic error: human factors, cognitive issues, and system-related breakdowns -Improving the value of diagnosis – eliminating waste and unnecessary testing -How culture and removing blame promote awareness of diagnostic errors -Training and education related to clinical reasoning and diagnostic skills -Advances in laboratory testing and imaging that improve diagnostic capability -Local, national and international initiatives to reduce diagnostic error
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