Evidence map›Paper›PMID 30681393›Full record

ArticleJournal of the American Heart Association2019

Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study.

Carol C Mitchell, Claudia E Korcarz, Adam D Gepner, Rebecca Nye, Rebekah L Young, Mika Matsuzaki, Wendy S Post, Joel D Kaufman, Robyn L McClelland, James H Stein

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Comparison of 2D and 3D carotid plaque analysis and longitudinalJournal of medical imaging (Bellingham, Wash.) · 2026
    Article
  3. Article
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  10. Review
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  12. Review
  13. Article
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  15. Article
  16. Article
  17. Review
  18. Changes in carotid artery structure with smoking cessation.Vascular medicine (London, England) · 2019
    Article
  19. 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

10 authors.

Carol C Mitchell1 Division of Cardiovascular Medicine Department of Medicine School of Medicine and Public Health University of Wisconsin Madison WI.
Claudia E Korcarz1 Division of Cardiovascular Medicine Department of Medicine School of Medicine and Public Health University of Wisconsin Madison WI.
Adam D Gepner1 Division of Cardiovascular Medicine Department of Medicine School of Medicine and Public Health University of Wisconsin Madison WI.
Rebecca Nye1 Division of Cardiovascular Medicine Department of Medicine School of Medicine and Public Health University of Wisconsin Madison WI.
Rebekah L Young3 Department of Biostatistics University of Washington Seattle WA.
Mika Matsuzaki3 Department of Biostatistics University of Washington Seattle WA.
Wendy S Post5 Division of Cardiology Department of Medicine Johns Hopkins University Baltimore MD.
Joel D Kaufman4 Departments of Environmental & Occupational Health Sciences, Medicine, and Epidemiology University of Washington Seattle WA.
Robyn L McClelland3 Department of Biostatistics University of Washington Seattle WA.
James H Stein1 Division of Cardiovascular Medicine Department of Medicine School of Medicine and Public Health University of Wisconsin Madison WI.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
SUBCLINICAL CARDIOVASCULAR DISEASE COORDINATING CENTERN01HC95159 · NHLBI · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 2007 to 2014
$19.6M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95160 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL · 2007 to 2015
$7.7M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC95164 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LIU, KIANG · 2007 to 2015
$7.0M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95161 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SHEA, STEVEN · 2007 to 2014
$6.4M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95165 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BURKE, GREGORY L · 2007 to 2014
$6.3M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95163 · NHLBI · UNIVERSITY OF MINNESOTA · PI FOLSOM, AARON R · 2007 to 2014
$6.1M
TITLE: MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA)N01HC95162 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY · 2007 to 2015
$6.0M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC95166 · NHLBI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 2007 to 2014
$4.0M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC95168 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI LIMA, JOAO · 2007 to 2015
$2.6M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01HC95159NHLBI NIH HHS N01HC95160NHLBI NIH HHS N01HC95161NHLBI NIH HHS N01HC95162NHLBI NIH HHS N01HC95163NHLBI NIH HHS N01HC95164NHLBI NIH HHS N01HC95165NHLBI NIH HHS N01HC95166NHLBI NIH HHS N01HC95167NHLBI NIH HHS N01HC95168NHLBI NIH HHS N01HC95169
6 · The paper itself

Abstract

Background We hypothesized that measures of common carotid artery echolucency and grayscale texture features were associated with cardiovascular disease ( CVD ) risk factors and could predict CVD events. Methods and Results Using a case-cohort design, we measured common carotid artery ultrasound images from 1788 participants in Exam 1 of the MESA study (Multi-Ethnic Study of Atherosclerosis) to derive 4 grayscale features: grayscale median, entropy, gray level difference statistic-contrast, and spatial gray level dependence matrices-angular second moment. CVD risk factor associations were determined by linear regression. Cox proportional hazard models with inverse selection probability weighting and adjustments for age, sex, race/ethnicity, CVD risk factors, and C-reactive protein were used to determine if standardized values for grayscale median, entropy, gray level difference statistic-contrast, and spatial gray level dependence matrices-angular second moment could predict incident coronary heart disease, stroke, and total CVD events over a median 13 years follow-up. Participants were mean ( SD ) 63.1 (10.3) years of age, 52.6% female, 32.1% white, 27.8% black, 23.3% Hispanic, and 16.8% Chinese. There were 283 coronary heart disease, 120 stroke, and 416 CVD events. Several associations of grayscale features with CVD risk factors were identified. In fully adjusted models, higher gray level difference statistic-contrast was associated with a lower risk of incident coronary heart disease (hazard ratio 0.82, 95% CI 0.71-0.94, p

Indexed as

Carotid Intima-Media ThicknessAgedAged, 80 and overCardiovascular DiseasesCarotid Artery, CommonFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsRisk AssessmentRisk FactorsUnited Statescardiovascular eventscarotid arterytexture featuresultrasound

Identifiers

PMID30681393
PMCPMC6405595

What OpenQuestion holds

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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.