Literature DB >> 19641319

How well do the ADAS-cog and its subscales measure cognitive dysfunction in Alzheimer's disease?

Jared F Benge1, Steve Balsis, Lisa Geraci, Paul J Massman, Rachelle S Doody.   

Abstract

BACKGROUND/AIMS: The Alzheimer's Disease Assessment Scale-cognitive (ADAS-cog) is regularly used to assess cognitive dysfunction in Alzheimer's disease (AD) clinical trials. Yet, little is known about how the instrument and its subscales measure cognition across the spectrum of AD. The current investigation used item response theory (IRT) analyses to assess the measurement properties of the ADAS-cog across the range of cognitive dysfunction in AD.
METHODS: We used IRT-based analyses to establish the relationship between cognitive dysfunction and the probability of obtaining observed scores on each subscale and the test as a whole. Data were obtained from 1,087 patients with AD and amnestic mild cognitive impairment.
RESULTS: Results showed that the ADAS-cog and its subscales provide maximum information at moderate levels of cognitive dysfunction. Raw score differences toward the lower and higher ends of the scale corresponded to large differences in cognitive dysfunction, whereas raw score differences toward the middle of the scale corresponded to smaller differences.
CONCLUSIONS: The utility of the ADAS-cog and its subscales is optimal in the moderate range of cognitive dysfunction, but raw score differences in that region correspond to relatively small differences in cognitive dysfunction. Implications for tracking and staging dementia and for clinical trials are discussed. Copyright 2009 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2009        PMID: 19641319     DOI: 10.1159/000230709

Source DB:  PubMed          Journal:  Dement Geriatr Cogn Disord        ISSN: 1420-8008            Impact factor:   2.959


  21 in total

1.  Efficacy of a medical food on cognition in Alzheimer's disease: results from secondary analyses of a randomized, controlled trial.

Authors:  P J G H Kamphuis; F R J Verhey; M G M Olde Rikkert; J W R Twisk; S H N Swinkels; P Scheltens
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Review 2.  Considerations in the design of clinical trials for cognitive aging.

Authors:  Eric M Reiman; Roberta Diaz Brinton; Russell Katz; Ronald C Petersen; Selam Negash; Dan Mungas; Paul S Aisen
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-05-09       Impact factor: 6.053

3.  The Alzheimer's Disease Assessment Scale-Cognitive-Plus (ADAS-Cog-Plus): an expansion of the ADAS-Cog to improve responsiveness in MCI.

Authors:  Jeannine Skinner; Janessa O Carvalho; Guy G Potter; April Thames; Elizabeth Zelinski; Paul K Crane; Laura E Gibbons
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

4.  Machine Learning Predictive Models Can Improve Efficacy of Clinical Trials for Alzheimer's Disease.

Authors:  Ali Ezzati; Richard B Lipton
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

5.  A phase 2 randomized trial of ELND005, scyllo-inositol, in mild to moderate Alzheimer disease.

Authors:  S Salloway; R Sperling; R Keren; A P Porsteinsson; C H van Dyck; P N Tariot; S Gilman; D Arnold; S Abushakra; C Hernandez; G Crans; E Liang; G Quinn; M Bairu; A Pastrak; J M Cedarbaum
Journal:  Neurology       Date:  2011-09-14       Impact factor: 9.910

6.  Be open about drug failures to speed up research.

Authors:  Enrica Alteri; Lorenzo Guizzaro
Journal:  Nature       Date:  2018-11       Impact factor: 49.962

7.  Relationships between cognitive impairment on ADAS-cog and regional cerebral blood flow using SPECT in late-onset Alzheimer's disease.

Authors:  Michio Takahashi; Yasunori Oda; Toshiyuki Okubo; Yukihiko Shirayama
Journal:  J Neural Transm (Vienna)       Date:  2017-05-16       Impact factor: 3.575

8.  Dysexecutive and amnesic AD subtypes defined by single indicator and modern psychometric approaches: relationships with SNPs in ADNI.

Authors:  Shubhabrata Mukherjee; Emily Trittschuh; Laura E Gibbons; R Scott Mackin; Andrew Saykin; Paul K Crane
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

9.  An approach for estimating item sensitivity to within-person change over time: An illustration using the Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog).

Authors:  N Maritza Dowling; Daniel M Bolt; Sien Deng
Journal:  Psychol Assess       Date:  2016-01-25

10.  Dementia-Related Neuropsychological Testing Considerations in Non-Hispanic White and Latino/Hispanic Populations.

Authors:  Shanna L Burke; Mitra Naseh; Miriam J Rodriguez; Aaron Burgess; David Loewenstein
Journal:  Psychol Neurosci       Date:  2019-03-11
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