Evidence map›Paper›PMID 40079790›Full record

ArticleActa neuropsychiatrica2025

Comorbid cerebrovascular and neurodegenerative burden in mild behavioural impairment and their impact on clinical trajectory.

Cheuk Ni Kan, Saima Hilal, Xin Xu, Narayanaswamy Venketasubramanian, Christopher Chen, Chin Hong Tan

Abstract read
In one paragraph

Article in Acta neuropsychiatrica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Cheuk Ni KanMemory Aging & Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0001-8574-1243
Saima HilalMemory Aging & Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Xin XuSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, China.
Narayanaswamy VenketasubramanianRaffles Neuroscience Centre, Raffles Hospital, Singapore.
Christopher ChenMemory Aging & Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Chin Hong TanPsychology, School of Social Sciences, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-0980-9936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimMild behavioural impairment (MBI) is a neurobehavioral prodrome to dementia with multiple phenotypic characteristics. To investigate the complex neurobiological substrate underlying MBI, we evaluated its association with a composite magnetic resonance imaging (MRI)-based measure of concomitant cerebrovascular disease (CeVD) and neurodegeneration; and the interaction effects of MBI and MRI scores on cognitive and clinical trajectory.

methods253 dementia-free participants (mean age = 71.9, follow-up period = 49.89 months) from 2 memory clinics were included in this study. 37 (14.6%) participants met clinical diagnostic criteria for MBI, ascertained by repeated neuropsychiatric inventory assessments. MRI scores were computed using a validated weighted sum of white matter hyperintensities volume, presence of infarct, hippocampal volume, and cortical thickness of known Alzheimer’s disease-associated regions. Clinical and cognitive outcomes were evaluated annually using the Clinical Dementia Rating sum-of-boxes (CDR-SB) and standardised global cognitive scores of a comprehensive neuropsychological battery respectively.

resultsLower MRI scores, indicating greater burden of comorbid CeVD and neurodegeneration, yielded a 3.8-fold likelihood of MBI compared to 1.5-fold with larger WMH volume or lower cortical thickness individually. Interaction analyses showed that MBI participants with low MRI scores had greater increase in CDR-SB (B = 0.05, SE = 0.01,

conclusionMBI is associated with a composite MRI measure that reflects mixed pathologies of dementia and their co-evaluation may improve risk profiling and identification of memory clinic patients without dementia who are at the highest risk of experiencing clinical decline.

Indexed as

Cerebrovascular DisordersCognitive DysfunctionNeurodegenerative DiseasesAgedAged, 80 and overBrainComorbidityDementiaDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsWhite MatterAlzheimer’s diseaseCerebrovascular diseaseMagnetic resonance imagingMild behavioural impairmentMixed dementiaNeuropsychiatric symptoms

Identifiers

PMID40079790
PMCPMC13130379

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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.