Skip to main content
main-content

01.12.2017 | Review | Ausgabe 4/2017 Open Access

Neuropsychology Review 4/2017

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

Zeitschrift:
Neuropsychology Review > Ausgabe 4/2017
Autoren:
Sylvie Belleville, Céline Fouquet, Carol Hudon, Hervé Tchala Vignon Zomahoun, Jordie Croteau, Consortium for the Early Identification of Alzheimer’s disease-Quebec
Wichtige Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s11065-017-9361-5) contains supplementary material, which is available to authorized users.
Sylvie Belleville, Céline Fouquet and Carol Hudon are part of Consortium for the Early Identification of Alzheimer’s disease-Quebec (CIMA-Q).

Abstract

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.

Unsere Produktempfehlungen

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag als Mediziner

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

e.Med Neurologie & Psychiatrie

Kombi-Abonnement

Mit e.Med Neurologie & Psychiatrie erhalten Sie Zugang zu CME-Fortbildungen der Fachgebiete, den Premium-Inhalten der dazugehörigen Fachzeitschriften, inklusive einer gedruckten Zeitschrift Ihrer Wahl.

e.Med Neurologie

Kombi-Abonnement

Mit e.Med Neurologie erhalten Sie Zugang zu CME-Fortbildungen des Fachgebietes, den Premium-Inhalten der neurologischen Fachzeitschriften, inklusive einer gedruckten Neurologie-Zeitschrift Ihrer Wahl.

Weitere Produktempfehlungen anzeigen
Zusatzmaterial
Literatur
Über diesen Artikel

Weitere Artikel der Ausgabe 4/2017

Neuropsychology Review 4/2017 Zur Ausgabe

Neu in den Fachgebieten Neurologie und Psychiatrie

05.03.2021 | Riechstörungen | Podcast | Nachrichten

Riechstörungen – über vielfältige Ursachen und neue Therapien

Mit Prof. Thomas Hummel, Leiter des Zentrums für Riechen und Schmecken, Uniklinik Dresden