Can neurocognitive assessment be a lower-cost substitute for biomarkers in predicting progression from mild cognitive impairment (MCI) to Alzheimer’s disease (AD)? A narrative review

Lea Daou , Alaeddine El Alayli , Fadi Constantinos , Georgette Dib , Marc Barakat
{"title":"Can neurocognitive assessment be a lower-cost substitute for biomarkers in predicting progression from mild cognitive impairment (MCI) to Alzheimer’s disease (AD)? A narrative review","authors":"Lea Daou ,&nbsp;Alaeddine El Alayli ,&nbsp;Fadi Constantinos ,&nbsp;Georgette Dib ,&nbsp;Marc Barakat","doi":"10.1016/j.bionps.2023.100069","DOIUrl":null,"url":null,"abstract":"<div><p>The challenge to find the best predictors of conversion from Mild Cognitive Impairment (MCI) to Alzheimer’s disease (AD) has been ongoing at least for the last decade. Nonetheless, clinicians still lack, to date, a robust predictive tool for identifying individuals who will go through this conversion. In this narrative review, we reported the sensitivity and specificity of biomarkers and neurocognitive assessment in predicting the progression from MCI to AD. Given that biomarkers do not necessarily provide a better predictive accuracy as showcased by the numbers in this study, cognitive tests seem like a more cost-effective, less invasive, and easily accessible option. They also offer the added benefit of measuring functional cognitive impairment. However, it remains clear that efforts are still needed to come up with more accurate, sensitive, and specific predictors.</p></div>","PeriodicalId":52767,"journal":{"name":"Biomarkers in Neuropsychiatry","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in Neuropsychiatry","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666144623000096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

The challenge to find the best predictors of conversion from Mild Cognitive Impairment (MCI) to Alzheimer’s disease (AD) has been ongoing at least for the last decade. Nonetheless, clinicians still lack, to date, a robust predictive tool for identifying individuals who will go through this conversion. In this narrative review, we reported the sensitivity and specificity of biomarkers and neurocognitive assessment in predicting the progression from MCI to AD. Given that biomarkers do not necessarily provide a better predictive accuracy as showcased by the numbers in this study, cognitive tests seem like a more cost-effective, less invasive, and easily accessible option. They also offer the added benefit of measuring functional cognitive impairment. However, it remains clear that efforts are still needed to come up with more accurate, sensitive, and specific predictors.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在预测从轻度认知障碍(MCI)到阿尔茨海默病(AD)的进展方面,神经认知评估能否成为生物标志物的低成本替代品?叙述性评论
至少在过去十年里,寻找轻度认知障碍(MCI)转化为阿尔茨海默病(AD)的最佳预测因素的挑战一直在进行。尽管如此,到目前为止,临床医生仍然缺乏一个强大的预测工具来识别将经历这种转变的个体。在这篇叙述性综述中,我们报道了生物标志物和神经认知评估在预测MCI至AD进展方面的敏感性和特异性。鉴于生物标志物不一定能像本研究中的数字所显示的那样提供更好的预测准确性,认知测试似乎是一种更具成本效益、侵入性更小、更容易获得的选择。它们还提供了测量功能性认知障碍的额外好处。然而,很明显,仍然需要努力找出更准确、敏感和具体的预测因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Biomarkers in Neuropsychiatry
Biomarkers in Neuropsychiatry Medicine-Psychiatry and Mental Health
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
7 weeks
期刊最新文献
Biomarker discovery using machine learning in the psychosis spectrum Biomarkers of thrombotic tendency in schizophrenia and related psychoses: Implications for the potential usefulness of anticoagulants in schizophrenia Affective processing in aphantasia and potential overlaps with alexithymia: Mental imagery facilitates the recognition of emotions in oneself and others Using data processing to understand inconsistency in smartphone behavior among patients with serious mental illness: Results of a digital phenotyping biomarker study An emotional distress biomarker in pregnant women: Ultra-short-term heart rate variability
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1