Neuropsychological Measures that Predict Progression from Mild Cognitive Impairment to Alzheimer's type dementia in Older Adults: a Systematic Review and Meta-Analysis

This study aimed to determine the extent to which cognitive measures can predict progression from mild cognitive impairment (MCI) to Alzheimer’s type dementia (AD), assess the predictive accuracy of different cognitive domain categories, and determine whether accuracy varies as a function of age and...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Neuropsychology review Ročník 27; číslo 4; s. 328 - 353
Hlavní autoři: Belleville, Sylvie, Fouquet, Céline, Hudon, Carol, Zomahoun, Hervé Tchala Vignon, Croteau, Jordie
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.12.2017
Springer Nature B.V
Témata:
Accuracy
Alzheimer's disease
Biomedical and Life Sciences
Biomedicine
Cognitive ability
Data processing
Dementia
Dementia disorders
Memory
Meta-analysis
Neurodegenerative diseases
Neurology
Neuropsychology
Neurosciences
Review
Reviews
Systematic review
Neuropsychology
Diagnosis
Alzheimer’s disease
Cognitive tests
Predictive accuracy
Mild cognitive impairment
ISSN:1040-7308, 1573-6660, 1573-6660
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This study aimed to determine the extent to which cognitive measures can predict progression from mild cognitive impairment (MCI) to Alzheimer’s type dementia (AD), assess the predictive accuracy of different cognitive domain categories, and determine whether accuracy varies as a function of age and length of follow-up. We systematically reviewed and meta-analyzed data from longitudinal studies reporting sensitivity and specificity values for neuropsychological tests to identify individuals with MCI who will develop AD. We searched articles in Medline, Cochrane, EMBASE, PsycINFO, and the Web of Science. Methodological quality was assessed using the STARDem and QUADAS standards. Twenty-eight studies met the eligibility criteria (2365 participants) and reported predictive values from 61 neuropsychological tests with a 31-month mean follow-up. Values were pooled to provide combined accuracy for 14 cognitive domains. Many domains showed very good predictive accuracy with high sensitivity and specificity values (≥ 0.7). Verbal memory measures and many language tests yielded very high predictive accuracy. Other domains (e.g., executive functions, visual memory) showed better specificity than sensitivity. Predictive accuracy was highest when combining memory measures with a small set of other domains or when relying on broad cognitive batteries. Cognitive tests are excellent at predicting MCI individuals who will progress to dementia and should be a critical component of any toolkit intended to identify AD at the pre-dementia stage. Some tasks are remarkable as early indicators, whereas others might be used to suggest imminent progression.
Bibliografie:ObjectType-Article-1
ObjectType-Evidence Based Healthcare-3
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ObjectType-Undefined-3
ISSN:1040-7308
1573-6660
1573-6660
DOI:10.1007/s11065-017-9361-5