Sensitivity and specificity of the Montreal cognitive assessment using U.S. National alzheimer coordinating centre uniform data set: a retrospective analysis of 16,309 participants

The study confirms MoCA as an effective tool for detecting dementia, showing 83% sensitivity and 82% specificity at a cutoff value of 21. With a high NPV of 94%, MoCA is particularly reliable for ruling out dementia. Its ability to detect MCI is moderate, with a sensitivity of 77.3% at cutoff of 24 among normal population.

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Publication Details

Journal
BMC Neurology
Published
2025-09-23
DOI
https://doi.org/10.1186/s12883-025-04190-9
Citations
5
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
7.36

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article

Sensitivity and specificity of the Montreal cognitive assessment using U.S. National alzheimer coordinating centre uniform data set: a retrospective analysis of 16,309 participants

Youssef A. Ismail, Huda A. Auf, Yasmeen Ali, Shahd A. Sadik et al.
5 citations
BMC Neurology
Dementia and Cognitive Impairment Research
7.36
article

Sensitivity and specificity of the Montreal cognitive assessment using U.S. National alzheimer coordinating centre uniform data set: a retrospective analysis of 16,309 participants

Youssef A. Ismail, Huda A. Auf, Yasmeen Ali, Shahd A. Sadik, Nada M. Ahmed
article en
5 citations

Abstract

The study confirms MoCA as an effective tool for detecting dementia, showing 83% sensitivity and 82% specificity at a cutoff value of 21. With a high NPV of 94%, MoCA is particularly reliable for ruling out dementia. Its ability to detect MCI is moderate, with a sensitivity of 77.3% at cutoff of 24 among normal population.

BMC NeurologyVol. 25(1)
Military Medical Academy (EG), Port Said University (EG)
National Institutes of Health, National Institute on Aging
Openalex Percentile: Top 3%
Dementia and Cognitive Impairment Research
7.36
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