Does Demographic Normalisation Improve the Accuracy of the MoCA and the MMSE for Detecting Mild Cognitive Impairment and Early Dementia ?

The current findings indicate that normalisation with the commonly used demographic variables (age, sex, and education) has little effect on the accuracy of MoCA & MMSE for identifying MCI and early dementia. Even this little effect often results in a significantly decreased test accuracy, suggesting that demographic normalisation does more harm than good.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70861_108357
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does Demographic Normalisation Improve the Accuracy of the MoCA and the MMSE for Detecting Mild Cognitive Impairment and Early Dementia ?

Maurice A. Smith, Kamlesh Perumal Venkatachalapathy
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Does Demographic Normalisation Improve the Accuracy of the MoCA and the MMSE for Detecting Mild Cognitive Impairment and Early Dementia ?

Maurice A. Smith, Kamlesh Perumal Venkatachalapathy
article en

Abstract

The current findings indicate that normalisation with the commonly used demographic variables (age, sex, and education) has little effect on the accuracy of MoCA & MMSE for identifying MCI and early dementia. Even this little effect often results in a significantly decreased test accuracy, suggesting that demographic normalisation does more harm than good.

Alzheimer s & DementiaVol. 21(S7)
Madurai Kamaraj University (IN), Harvard University (US), Madurai Medical College (IN)
Quality Education
Openalex Percentile: Top 35%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.