Challenges in Dementia Studies

Kevin T Ong
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Abstract

Alzheimer’s and other neurodegenerative diseases are generally incurable and often difficult to diagnose accurately. Yet early and accurate diagnosis of a neurodegenerative disease can potentially contribute to more effective treatment. Hence research efforts are moving towards early identification of high risk subjects and prevention of disease progression with biomarkers. Unfortunately dementia and biomarker studies are hampered by variables such as drop outs, challenges in comparing data sets, discordant biomarker sets, availability of histopathological confirmation at death, validity of cognitive testing, and nonlinear fluctuations in cognitive domains as disease progresses in vivo in subjects. This chapter is an assessment of the challenges in the early diagnosis of dementia, as well as a presentation of the issues faced in conducting dementia and biomarker studies.
痴呆症研究面临的挑战
阿尔茨海默病和其他神经退行性疾病通常是无法治愈的,而且往往难以准确诊断。然而,神经退行性疾病的早期和准确诊断可能有助于更有效的治疗。因此,研究工作正朝着用生物标志物早期识别高风险受试者和预防疾病进展的方向发展。不幸的是,痴呆症和生物标志物的研究受到诸如退出、比较数据集的挑战、不一致的生物标志物集、死亡时组织病理学确认的可用性、认知测试的有效性以及受试者体内疾病进展时认知领域的非线性波动等变量的阻碍。本章评估了痴呆症早期诊断面临的挑战,并介绍了开展痴呆症和生物标志物研究所面临的问题。
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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