Affiliation:
1. School of Nursing, Soonchunhyang University, 22 Soonchunhyang-ro, Sinchang-myen, Asan-si, Chungcheongnam-do,
31538 Korea
2. College of Nursing, Korea University, 145 Anam-ro, Seongbuk-Gu, Seoul, 02841, Korea
Abstract
Background:
Mild cognitive impairment (MCI) and Alzheimer’s disease (AD) are
screened to distinguish whether the cognitive decline in older adults is attributed to pathological
causes rather than normal aging.
Objective:
The purpose of this review was to analyze the diagnostic performance of the Alzheimer's
Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) in screening for MCI and AD.
Methods:
Electronic searches were performed on MEDLINE, EMBASE, CINAHL, and PsycArticles
databases using the following keywords: dementia and ADAS-Cog. The Quality Assessment of Diagnostic
Accuracy Studies-2 was used to check the risk of bias in the diagnostic studies.
Results:
We reviewed 14 studies, including 3,875 patients who met the selection criteria. In 2,624
MCI patients from nine studies, the pooled sensitivity of ADAS-Cog was 0.80 (95% confidence interval
[CI], 0.68–0.88), the pooled specificity was 0.84 (95% CI, 0.75–0.90), and the area under the
curve of summary receiver-operating characteristic curves (SROC AUC) was 0.89 (SE = 0.03). In
2,517 AD patients from 10 studies, the pooled sensitivity and pooled specificity were 0.91 (95% CI,
0.86–0.95) and 0.93 (95% CI, 0.88–0.95), respectively, and the sROC AUC was 0.97 (SE = 0.01).
Although sub-analyzed according to age and years of education, there was no significant difference
in the predictive validity of the ADAS-Cog.
Conclusion:
The ADAS-Cog has high predictive validity as a screening tool in both MCI and AD
and has better diagnostic performance in patients with AD. When early screening for AD is desired,
ADAS-Cog is a first-stage screening tool that can be initially employed.
Publisher
Bentham Science Publishers Ltd.
Subject
Neurology (clinical),Neurology
Cited by
1 articles.
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