Evidence map›Paper›PMID 37693599›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: the COSMIC consortium.

Keshuo Lin, Wei Wen, Darren M Lipnicki, Louise Mewton, Rory Chen, Jing Du, Dadong Wang, Ingmar Skoog, Therese Rydberg Sterner, Jenna Najar and 14 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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

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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 10 institutions in 5 countries.

Keshuo LinCentre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Wei WenCentre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Darren M LipnickiCentre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Louise MewtonCentre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Rory ChenCentre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Jing DuCentre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Dadong WangCSIRO Informatics and Statistics, Locked Bag 17, North Ryde, NSW 1670, Australia.
Ingmar SkoogNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden.
Therese Rydberg SternerNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden.
Jenna NajarNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden.
Ki Woong KimDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea.
Ji Won HanDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea.
Jun Sung KimDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea.
Tze Pin NgKhoo Teck Puat Hospital, 768828, Singapore.
Roger HoInstitute for Health Innovation and Technology (iHealthtech), National University of Singapore, 119077, Singapore.
Denise Qian Ling ChuaDepartment of Psychological Medicine, National University of Singapore, 119077, Singapore.
Kaarin J AnsteySchool of Psychology, University of New South Wales, NSW 2052,Australia.
Nicolas CherbuinNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, ACT 2600, Canberra, Australia.
Moyra E MortbySchool of Psychology, University of New South Wales, NSW 2052,Australia.
Henry BrodatyCentre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Nicole KochanCentre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Perminder S SachdevCentre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Jiyang JiangCentre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Cohort Studies of Memory in an International Consortium (COSMIC)
UNSW Sydney · AUNational University of Singapore · SGSeoul National University · KRAmsterdam University Medical Centers · NLAustralian National University · AUCommonwealth Scientific and Industrial Research Organisation · AUKarolinska Institutet · SEMinistry of Health · SGSahlgrenska University Hospital · SESeoul National University Bundang Hospital · KR

Funding

A global epidemiology of cognitive impairment and dementia due to Alzheimer's disease and related disorders: the COSMIC CollaborationR01AG057531 · NIA · UNIVERSITY OF NEW SOUTH WALES · PI Perminder S SACHDEV · 2023 to 2026
$5.9M
COSMIC: An international consortium to identify risk and protective factors and biomarkers of cognitive ageing and dementia in diverse ethno-racial groups and geographical settingsRF1AG057531 · NIA · UNIVERSITY OF NEW SOUTH WALES · PI SACHDEV, PERMINDER S · 2017 to 2020
$2.9M
NIA NIH HHS R01 AG057531NIA NIH HHS RF1 AG057531
6 · The paper itself

Abstract

introductionWhite matter hyperintensities (WMH) are an important imaging marker for cerebral small vessel diseases, but their risk factors and cognitive associations have not been well-documented in populations of different ethnicities and/or from different geographical regions.

methodMagnetic resonance imaging data of five population-based cohorts of non-demented older individuals from Australia, Singapore, South Korea, and Sweden (N = 1,946) were examined for WMH and their associations with vascular risk factors and cognition.

resultFactors associated with larger whole brain WMH volumes included diabetes, hypertension, stroke, current smoking, body mass index, higher alcohol intake and insufficient physical activity. Participants with moderate or higher physical activity had less WMH than those who never exercised, but the former two groups did not differ. Hypertension and stroke had stronger associations with WMH volumes in the White, compared to Asian subsample. DISCUSSION: The current study highlighted the ethnic differences in the contributions of vascular risk factors to WMH.

Indexed as

cognitionethnic differencespopulation-based studiesvascular risk factorsWhite matter hyperintensities

Identifiers

PMID37693599
PMCPMC10491386
OpenAlexW4386318965

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.