Suppr超能文献

神经退行性疾病认知筛查的未来。

The Future of Cognitive Screening in Neurodegenerative Diseases.

机构信息

Department of Neurology, Medical College of Wisconsin, Wauwatosa, WI, USA.

Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.

出版信息

J Alzheimers Dis. 2023;93(1):47-59. doi: 10.3233/JAD-221077.

Abstract

Cognitive screening instruments (CSI) have variable sensitivity and specificity to the cognitive changes associated with dementia syndromes, and the most recent systematic review found insufficient evidence to support the benefit of cognitive screening tools in older adults residing within the community. Consequently, there is a critical need to improve CSI methods, which have not yet incorporated advances in psychometrics, neuroscience, and technology. The primary goal of this article is to provide a framework for transitioning from legacy CSIs to advanced dementia screening measurement. In line with ongoing efforts in neuropsychology and the call for next-generation digital assessment for early detection of AD, we propose a psychometrically advanced (including application of item response theory methods), automated selective assessment model that provides a framework to help propel an assessment revolution. Further, we present a three-phase model for modernizing CSIs and discuss critical diversity and inclusion issues, current challenges in differentiating normal from pathological aging, and ethical considerations.

摘要

认知筛查工具(CSI)对与痴呆综合征相关的认知变化的敏感性和特异性各不相同,最近的系统评价发现,没有足够的证据支持认知筛查工具对居住在社区中的老年人的益处。因此,迫切需要改进 CSI 方法,这些方法尚未纳入心理测量学、神经科学和技术的进展。本文的主要目标是提供一个从传统 CSI 向先进的痴呆症筛查测量方法过渡的框架。与神经心理学领域的持续努力以及呼吁使用下一代数字评估方法来早期发现 AD 保持一致,我们提出了一种心理测量学上先进的(包括应用项目反应理论方法)、自动化的选择性评估模型,为推动评估革命提供了一个框架。此外,我们还提出了一个 CSI 现代化的三阶段模型,并讨论了关键的多样性和包容性问题、区分正常和病理性衰老的当前挑战以及伦理考虑。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验