Evidence map›Paper›PMID 41639906›Full record

ArticleAlzheimer's research & therapy2026

Sex and APOE ε4 genotype modify risk factor associations with cerebral amyloid angiopathy: a multi-cohort autopsy study.

Liwei Ma, Yihan Wang, Benjamin Goudey, Liang Jin, Yijun Pan

Abstract read
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Article in Alzheimer's research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Liwei MaSchool of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
Yihan WangSchool of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
Benjamin GoudeyAustralia BioCommons, The University of Melbourne, 21 Bedford Street, North Melbourne, VIC, 3051, Australia.
Liang JinSchool of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia. liang.jin@monash.edu.
Yijun PanSchool of Translational Medicine, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia. Yijun.pan@monash.edu.

Funding

Alzheimer's Association USA 23AARF-1020292National Health and Medical Research Council (Australia) Investigator Grant GNT2007912NHMRC-AMED Dementia Collaborative Research Grant GNT2022203
6 · The paper itself

Abstract

backgroundThis study aimed to identify risk factors and develop statistical models to predict cerebral amyloid angiopathy (CAA).

methodsAssociations between demographic, cognition, cardiovascular, and AD-related neuropathology and CAA were analyzed using data from three longitudinal cohorts of aging and dementia. Logistic regression with LASSO was used for feature selection. Predictive performance was assessed using ROC-AUC and decision curve analysis (DCA). Predictor importance was quantified using Shapley Variable Importance Cloud (ShapleyVIC), which provides a robust estimate of individual feature contribution in prediction.

resultsStratified analyses showed that the strength of association between episodic memory or tau pathology and CAA was greater in males, while the amyloid pathology-CAA association was stronger in females. Among APOE ε4 carriers, the amyloid/tau pathology-CAA associations were pronounced. Episodic memory and amyloid/tau pathology were identified as key factors in our predictive model. DCA demonstrated the model’s clinical utility, and SHAP values confirmed the importance of individual features.

conclusionWe identified sex- and APOE-specific risk factors for CAA and developed models to support CAA risk stratification.

Indexed as

Apolipoprotein E4Cerebral Amyloid AngiopathyAgedAged, 80 and overAutopsyBrainCohort StudiesFemaleGenotypeHumansLongitudinal StudiesMaleMemory, EpisodicRisk FactorsSex FactorsApolipoprotein E4Alzheimer’s diseaseAmyloid-related imaging abnormalitiesCerebral amyloid angiopathyNeuropathologyShapleyVIC

Identifiers

PMID41639906
PMCPMC12964862

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.