Evidence map›Paper›PMID 34000829›Full record

ArticleStroke2021

Association of Coronary Artery Atherosclerosis With Brain White Matter Hyperintensity.

Michelle C Johansen, Rebecca F Gottesman, Brian G Kral, Dhananjay Vaidya, Lisa R Yanek, Lewis C Becker, Diane M Becker, Paul Nyquist

Open access · bronzeAbstract read
In one paragraph

Article in Stroke, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Heart-Brain Axis: Subclinical Cardiovascular Changes and Brain Health.Journal of the American Heart Association · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Multivariate White Matter Microstructure Alterations in Older Adults with Coronary Artery Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

Michelle C JohansenDepartment of Neurology (M.C.J., R.F.G., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD.
Rebecca F GottesmanDepartment of Neurology (M.C.J., R.F.G., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD.
Brian G KralDepartment of Medicine, Division of Cardiology (B.G.K., L.C.B.), Johns Hopkins University School of Medicine, Baltimore, MD.
Dhananjay VaidyaDepartment of Medicine, Division of General Internal Medicine, GeneSTAR Research Program (B.G.K., D.V., L.R.Y., L.C.B., D.M.B., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD.
Lisa R YanekDepartment of Medicine, Division of General Internal Medicine, GeneSTAR Research Program (B.G.K., D.V., L.R.Y., L.C.B., D.M.B., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD.
Lewis C BeckerDepartment of Medicine, Division of Cardiology (B.G.K., L.C.B.), Johns Hopkins University School of Medicine, Baltimore, MD.
Diane M BeckerDepartment of Medicine, Division of General Internal Medicine, GeneSTAR Research Program (B.G.K., D.V., L.R.Y., L.C.B., D.M.B., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD.
Paul NyquistDepartment of Neurology (M.C.J., R.F.G., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD.
Johns Hopkins University · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI JUAN TRONCOSO · 2020 to 2026
$29.3M
Occult Small Vessel Cerebrovascular Disease in High Risk FamiliesR01NS062059 · NINDS · JOHNS HOPKINS UNIVERSITY · PI NYQUIST, PAUL ALAN · 2009 to 2013
$3.0M
Vascular Contributors to Blood Brain Barrier Permeability and Regional White Matter Hyperintensity Progression in Young Asymptomatic PeopleR01NS128135 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Paul Alan Nyquist · 2025 to 2026
$1.5M
Defining the role of Atrial Cardiopathy and Subclinical Cardiac Disease in Acute Ischemic Stroke: Critical Life Event SupplementK23NS112459 · NINDS · JOHNS HOPKINS UNIVERSITY · PI JOHANSEN, MICHELLE C. · 2020 to 2024
$1.0M
Novel Technologies to Identify Preclinical Coronary Disease in High Risk FamiliesRC1HL099747 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BECKER, LEWIS C · 2009 to 2010
$1.0M
Neuroepidemiology of the vascular contribution to cognitive impairment and Alzheimer's diseaseK24AG052573 · NIA · JOHNS HOPKINS UNIVERSITY · PI GOTTESMAN, REBECCA F · 2016 to 2020
$803k
Pharmacogenomics of Anti-platelet ResponseK23HL105897 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI QAYYUM, REHAN · 2010 to 2013
$559k
Determinants of Alzheimer's Disease in Atrial Fibrillation apart from Stroke: The NOMINATE StudyR21NS126967 · NINDS · JOHNS HOPKINS UNIVERSITY · PI JOHANSEN, MICHELLE C. · 2022 to 2023
$466k
NCATS NIH HHS UL1 TR003098NCRR NIH HHS UL1 RR025005NHLBI NIH HHS K23 HL105897NHLBI NIH HHS RC1 HL099747NIA NIH HHS K24 AG052573NIA NIH HHS P30 AG066507NINDS NIH HHS K23 NS112459NINDS NIH HHS R01 NS062059NINDS NIH HHS R01 NS128135NINDS NIH HHS R21 NS126967
6 · The paper itself

Abstract

Background and Purpose: We aim to determine, in healthy high-risk adults, the association between subclinical coronary artery disease and white matter hyperintensity (WMH) volume and location, independent of atherosclerotic risk factors. Methods: Seven hundred eighty-two asymptomatic first-degree relatives of index cases with early-onset coronary artery disease (<60 years old) from GeneSTAR (Genetic Study of Atherosclerosis Risk) with contemporaneous coronary computed tomography angiography and brain magnetic resonance imaging were analyzed. Multilevel mixed-effects linear regression models, accounting for family structure, evaluated the association of total WMH volume and 3 regions (deep WMH, periventricular WMH [PVWMH], or borderzone [cuff]) with markers of coronary artery disease. Separate models were created for total WMH, deep WMH, PVWMH, and cuff volumes, each, as dependent variables, across coronary computed tomography angiography variables, adjusted for covariates. Results: Mean age was 51 years ±10, with 58% women and 39% African American people. Participants with any coronary plaque had 52% larger WMH volumes than those without plaque (95% CI, 0.24–0.59). Per 1% greater coronary plaque volume, total WMH volumes were 0.07% larger (95% CI, 0.04–0.10). Every 1% higher total coronary plaque volume was associated with 5.03% larger deep WMH volume (95% CI, 4.67–5.38), 5.10% PVWMH larger volume (95% CI, 4.72–5.48), and 2.74% larger cuff volume (95% CI, 2.38–3.09) with differences in this association when comparing deep WMH to PVWMH (P interaction, 0.001) or cuff (P interaction, <0.001), respectively. Conclusions: In healthy, high-risk individuals, the presence and volume of coronary artery plaque are associated with larger WMH volumes, appearing the strongest for PVWMH. These findings in high-risk families suggest a disease relationship in 2 different vascular beds, beyond traditional risk factors, possibly due to genetic predisposition.

Indexed as

AdultAtherosclerosisBrainCohort StudiesCoronary Artery DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsWhite Mattercardiovascular diseasescerebrovascular disordersepidemiology

Identifiers

PMID34000829
PMCPMC8316285
OpenAlexW3162424516

What OpenQuestion holds

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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.