Evidence map›Paper›PMID 40452126›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging

Cardiovascular Risk Factors Impact Brain Volume and White Matter Hyperintensities: A Multiethnic Cohort Study.

Esther M C Vriend, Alexandra de Sitter, Thomas A Bouwmeester, Oscar H Franco, Henrike Galenkamp, Eric P Moll van Charante, Didier Collard, Aart J Nederveen, Bert-Jan H van den Born

Abstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

9 authors.

Esther M C VriendDepartment of Internal Medicine, Section of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-9989-9404
Alexandra de SitterDepartment of Radiology and Nuclear Medicine, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands.
Thomas A BouwmeesterDepartment of Internal Medicine, Section of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Oscar H FrancoJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Henrike GalenkampDepartment of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Eric P Moll van CharanteDepartment of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Didier CollardDepartment of Internal Medicine, Section of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Aart J NederveenDepartment of Radiology and Nuclear Medicine, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands.
Bert-Jan H van den BornDepartment of Internal Medicine, Section of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Funding

Amsterdam UMC, location AMC and the Public Health Service (GGD) of AmsterdamSwiss National Foundation LYRICA (189235)
6 · The paper itself

Abstract

background and purposeBrain atrophy and white matter hyperintensities (WMHs) are established markers of cerebrovascular disease, yet most evidence comes from older populations of predominantly European descent. We prospectively examined the relationship between cardiovascular risk factors and brain volumes and WMHs in middle-aged participants in a multiethnic cohort and examined ethnic differences in these associations.

methodsBaseline data (2011-2015) were collected from 562 participants of Moroccan, South-Asian Surinamese, and Dutch descent, with 3 Tesla brain MRIs conducted between 2021 and 2022 (median follow-up 8.4 years). Brain and WMH volumes were assessed using automated segmentation of Magnetization Prepared-RApid Gradient Echo and three-dimensional Fluid-Attenuated Inversion Recovery scans. Linear regression analyses examined associations between cardiovascular risk factors and brain volumes and log-transformed WMH volumes. Interaction terms explored ethnic differences in these associations.

resultsMedian age was 53 years, and 45% were female. Higher body mass index (BMI) and diabetes mellitus were associated with lower brain volumes (-7.6 mL per BMI unit, 95% confidence interval [CI] -12.6, -2.7; 103.4 mL for diabetes, 95% CI -167.4, -39.3). Hypertension and a history of cardiovascular disease were associated with 54.7% (95% CI 25.5, 90.7) and 98.3% (95% CI 30.9, 200.4) higher WMH volumes, respectively. Associations of diabetes with brain volume and hypertension with WMH volume were most pronounced among South-Asian Surinamese participants.

conclusionsCardiovascular risk factors in midlife were strongly associated with brain volumes and WMHs after 8 years of follow-up. Ethnic differences in the strength of these associations underscore the importance of tailored cerebrovascular risk assessment across diverse populations.

Indexed as

BrainCardiovascular DiseasesHeart Disease Risk FactorsWhite MatterAdultCohort StudiesEthnicityFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNetherlandsOrgan SizeProspective StudiesRisk Factorsbrain atrophybrain volumecardiovascular risk factorsHELIUS studyMRIwhite matter hyperintensities

Identifiers

PMID40452126
PMCPMC12127606

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.