Evidence map›Paper›PMID 30376748›Full record

ArticleJournal of the American Heart Association2018

Cardiovascular Risk Factors and White Matter Hyperintensities: Difference in Susceptibility in South Asians Compared With Europeans.

Carole H Sudre, Lorna Smith, David Atkinson, Nish Chaturvedi, Sébastien Ourselin, Frederik Barkhof, Alun D Hughes, H Rolf Jäger, M Jorge Cardoso

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 11% of its field
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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  6. Location patterns and longitudinal progression of white matter hyperintensities.medRxiv : the preprint server for health sciences · 2026
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  15. Annual exposure to PMScientific reports · 2022
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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 at 5 institutions in 3 countries.

Carole H Sudre1 School of Biomedical Engineering and Imaging Sciences King's College London London United Kingdom.
Lorna Smith3 MRC Unit for Lifelong Health and Ageing at UCL Department of Population Science & Experimental Medicine UCL Institute of Cardiovascular Science London United Kingdom.
David Atkinson4 Centre for Medical Imaging UCL Division of Medicine London United Kingdom.
Nish Chaturvedi3 MRC Unit for Lifelong Health and Ageing at UCL Department of Population Science & Experimental Medicine UCL Institute of Cardiovascular Science London United Kingdom.
Sébastien Ourselin1 School of Biomedical Engineering and Imaging Sciences King's College London London United Kingdom.
Frederik Barkhof2 Dementia Research Centre UCL Institute of Neurology London United Kingdom.
Alun D Hughes3 MRC Unit for Lifelong Health and Ageing at UCL Department of Population Science & Experimental Medicine UCL Institute of Cardiovascular Science London United Kingdom.
H Rolf Jäger1 School of Biomedical Engineering and Imaging Sciences King's College London London United Kingdom.
M Jorge Cardoso1 School of Biomedical Engineering and Imaging Sciences King's College London London United Kingdom.
University College London · GBMRC Unit for Lifelong Health and Ageing · GBKing's College London · GBNational Hospital for Neurology and Neurosurgery · GBUK Dementia Research Institute · GB

Funding

British Heart Foundation CS/13/1/30327British Heart Foundation PG/08/103/26133British Heart Foundation PG/12/29/29497Medical Research Council MC_UU_12019/1Medical Research Council MR/J01107X/1
6 · The paper itself

Abstract

Background Cardiovascular risk factors vary between ethnicities but little is known about their differential effects on white matter hyperintensities ( WMH ), an indicator of brain aging and burden of cerebrovascular disease. Methods and Results Brain magnetic resonance imaging scans from 213 people of South Asian and 256 of European ethnicity (total=469) were analyzed for global and regional WMH load. Associations with cardiovascular risk factors and a composite cardiovascular risk score (National Cholesterol Education Programme Adult Treatment Panel III) were compared by ethnicity, diabetes mellitus, smoking, and hypertension status. Distributional patterns of WMH were similar by ethnicity but the vulnerability to specific risk factors differed. Associations between WMH and age or National Cholesterol Education Programme Adult Treatment Panel III scores were stronger in South Asians compared with Europeans. For instance, a year of age led to an excess of 3.8% (confidence interval=[0.2, 7.6]; P=0.04) of WMH load in frontal regions in South Asians compared with Europeans. In the diabetic subgroup, South Asians had more WMH than Europeans (+63.3%, confidence interval=[14.1, 133.9]; P=0.007), particularly in the deeper regions (+102% confidence interval=[24, 329]; P=0.004). In the population as a whole, diabetes mellitus was not, or only weakly, related to an increase in WMH volume (12.4%, confidence interval=[-10.7, 41.3]; P=0.32), and diabetes mellitus duration was a positive predictor of frontal periventricular WMH load in Europeans but not in South Asians. In turn, diastolic blood pressure was positively associated with WMH volumes in South Asians but not in Europeans. Hypertension was not associated with WMH load ( P=0.9). Conclusions Distribution patterns of WMH are similar in South Asians and Europeans but older age and higher cardiovascular risk are associated with more WMH in South Asians.

Indexed as

Magnetic Resonance ImagingAgedAsiaAsian PeopleCardiovascular DiseasesCross-Sectional StudiesDisease SusceptibilityFemaleHumansLeukoaraiosisMaleRisk FactorsWhite MatterWhite Peopleagingcerebral small vessel diseaseethnicitymagnetic resonance imagingrisk factorwhite matter

Identifiers

PMID30376748
PMCPMC6404219
OpenAlexW2899457954

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.