Assessment of dementia risk scores in predicting mild cognitive impairment: A comparison of CogDrisk, CAIDE, LIBRA, and ANU-ADRI

Dementia risk scores demonstrated comparable performance of MCI prediction and are more sensitive for identifying cases that progress to dementia, supporting their greater utility for informing risk reduction strategies.

Authors

Institutions

Publication Details

Journal
The Journal of Prevention of Alzheimer s Disease
Published
2025-08-12
DOI
https://doi.org/10.1016/j.tjpad.2025.100324
Citations
3
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
4.41
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of dementia risk scores in predicting mild cognitive impairment: A comparison of CogDrisk, CAIDE, LIBRA, and ANU-ADRI

Kaarin Jane Anstey, Md Hamidul Huque
3 citations
The Journal of Prevention of Alzheimer s Disease
Dementia and Cognitive Impairment Research
4.41
article

Assessment of dementia risk scores in predicting mild cognitive impairment: A comparison of CogDrisk, CAIDE, LIBRA, and ANU-ADRI

Kaarin Jane Anstey, Md Hamidul Huque
article en
3 citations

Abstract

Dementia risk scores demonstrated comparable performance of MCI prediction and are more sensitive for identifying cases that progress to dementia, supporting their greater utility for informing risk reduction strategies.

The Journal of Prevention of Alzheimer s DiseaseVol. 12(9)
UNSW Sydney (AU), Neuroscience Research Australia (AU)
Openalex Percentile: Top 5%
Dementia and Cognitive Impairment Research
4.41
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.