Evidence map›Paper›PMID 21846753›Full record

ArticleRadiology2011

The association of pericardial fat with coronary artery plaque index at MR imaging: The Multi-Ethnic Study of Atherosclerosis (MESA).

Cuilian Miao, Shaoguang Chen, Jingzhong Ding, Kiang Liu, Debiao Li, Robson Macedo, Shenghan Lai, Jens Vogel-Claussen, Elizabeth R Brown, João A C Lima and 1 more

Abstract read
In one paragraph

Article in Radiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. A clinical strategy to improve the diagnostic performance of 3T non-contrast coronary MRA and noninvasively evaluate coronary distensibility: combination of diastole and systole imaging.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Cardiac MRI for Patients with Increased Cardiometabolic Risk.Radiology. Cardiothoracic imaging · 2021
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Review
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

11 authors.

Cuilian MiaoDepartment of Radiology, Northwestern University Medical School, Chicago, IL, USA.
Shaoguang Chen
Jingzhong Ding
Kiang Liu
Debiao Li
Robson Macedo
Shenghan Lai
Jens Vogel-Claussen
Elizabeth R Brown
João A C Lima
David A Bluemke

Funding

Molecular Biomedical Imaging Laboratory (NIBIB)ZIAEB000072 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI BLUEMKE, DAVID · 2010 to 2017
$5.0M
Coronary Atherosclerosis Evaluation by Arterial Wall MRIR01HL078909 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI LEWIN, JONATHAN S · 2005 to 2007
$2.1M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
SUBCLINICAL CARDIOVASCULAR DISEASE COORDINATING CENTER-N01HC95159-268095159N01HC095159 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 1999 to 2006
$304k
Adjunctive Use of Apyrase to Fibrinolytic TherapyR43HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2009 to 2009
$226k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--EBCT READINGN01HC095169 · HC · LA BIOMED RES INST/ HARBOR UCLA MED CTR · PI DETRANO, ROBERT · 1999 to 2001
$124k
Molecular Biomedical Imaging Laboratory (CC)ZIACL090019 · CLC · CLINICAL CENTER · PI JONES, ELIZABETH C. · 2010 to 2017
$0k
NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL078909
6 · The paper itself

Abstract

purposeTo determine the relationship of pericardial fat, which secretes proinflammatory markers that have been implicated in coronary atherosclerosis, with atherosclerotic plaque in an asymptomatic population-based cohort. MATERIALS AND

methodsIn this institutional review board-approved study, all participants supplied written informed consent. One hundred eighty-three participants (89 women, 94 men; mean age, 61 years ± 9 [standard deviation]) from the community-based Multi-Ethnic Study of Atherosclerosis (MESA) were included. The coronary artery eccentricity (ratio of maximal to minimal coronary artery wall thickness) was determined by using magnetic resonance (MR) imaging and served as an index of plaque burden. The pericardial fat volume was determined by using computed tomography. Linear regression coefficient analysis was used to correlate pericardial fat volume with coronary artery wall thickness and plaque eccentricity.

resultsPericardial fat volume correlated significantly with degree of plaque eccentricity (P < .05) in both men and women. After adjustments for body mass index (BMI) and waist circumference, traditional risk factors, C-reactive protein level, and coronary artery calcium content, the relationship between pericardial fat and plaque eccentricity remained significant in men (P < .01) but not in women. BMI and waist circumference correlated with degree of plaque eccentricity in the univariate model (P < .05) but not after adjustment for pericardial fat volume or traditional risk factors.

conclusionPericardial fat volume, rather than BMI and waist circumference, was more strongly related to plaque eccentricity as a measure of coronary atherosclerotic plaque burden. The results support the proposed role of pericardial fat in association with atherosclerosis.

Indexed as

Magnetic Resonance ImagingAdipose TissueCoronary Artery DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPericardiumPlaque, Atherosclerotic

Identifiers

PMID21846753
PMCPMC3176423

What OpenQuestion holds

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Registered trials

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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.