Evidence map›Paper›PMID 25262111›Full record

Trial reportDiabetes research and clinical practice2014

Epicardial adipose tissue volume as a marker of coronary artery disease severity in patients with diabetes independent of coronary artery calcium: findings from the CTRAD study.

Dilbahar S Mohar, Jonathan Salcedo, Khiet C Hoang, Shivesh Kumar, Farhood Saremi, Ashwini S Erande, Nassim Naderi, Pradeep Nadeswaran, Christine Le, Shaista Malik

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes research and clinical practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Observational
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  6. Review
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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

10 authors.

Dilbahar S MoharDepartment of Medicine, Division of Cardiology, University of California, 333 City Tower West, Suite 400, Orange, CA 92868, United States; Irvine-School of Medicine, Irvine, CA, United States.
Jonathan SalcedoDepartment of Medicine, Division of Cardiology, University of California, 333 City Tower West, Suite 400, Orange, CA 92868, United States; Irvine-School of Medicine, Irvine, CA, United States.
Khiet C HoangDepartment of Medicine, Division of Cardiology, University of California, 333 City Tower West, Suite 400, Orange, CA 92868, United States; Irvine-School of Medicine, Irvine, CA, United States.
Shivesh KumarDepartment of Medicine, Division of Cardiology, University of California, 333 City Tower West, Suite 400, Orange, CA 92868, United States; Irvine-School of Medicine, Irvine, CA, United States.
Farhood SaremiDepartment of Medicine, Division of Cardiology, University of California, 333 City Tower West, Suite 400, Orange, CA 92868, United States; Irvine-School of Medicine, Irvine, CA, United States; Department of Radiology, University of Southern California, Los Angeles, CA, United States.
Ashwini S ErandeDepartment of Medicine, Division of Cardiology, University of California, 333 City Tower West, Suite 400, Orange, CA 92868, United States; Irvine-School of Medicine, Irvine, CA, United States.
Nassim NaderiDepartment of Medicine, Division of Cardiology, University of California, 333 City Tower West, Suite 400, Orange, CA 92868, United States; Irvine-School of Medicine, Irvine, CA, United States.
Pradeep NadeswaranDepartment of Medicine, Division of Cardiology, University of California, 333 City Tower West, Suite 400, Orange, CA 92868, United States; Irvine-School of Medicine, Irvine, CA, United States.
Christine LeDepartment of Medicine, Division of Cardiology, University of California, 333 City Tower West, Suite 400, Orange, CA 92868, United States; Irvine-School of Medicine, Irvine, CA, United States; Department of Radiology, University of Southern California, Los Angeles, CA, United States.
Shaista MalikDepartment of Medicine, Division of Cardiology, University of California, 333 City Tower West, Suite 400, Orange, CA 92868, United States; Irvine-School of Medicine, Irvine, CA, United States. Electronic address: smalik@uci.edu.

Funding

Image based cardiovascular risk communication in high risk patients with diabetesK23HL097158 · NHLBI · UNIVERSITY OF CALIFORNIA-IRVINE · PI MALIK, SHAISTA · 2011 to 2015
$701k
NHLBI NIH HHS K23 HL097158
6 · The paper itself

Abstract

aimsThe association between epicardial adipose tissue (EAT) volume and coronary artery disease (CAD) severity was evaluated, independent of traditional risk factors and coronary artery calcium (CAC) scores, in patients with diabetes type 2 (DM-2) using cardiac computed tomography angiography (CTA).

methodsA multivariate analysis was utilized to assess for an independent association after calculating EAT volume, CAD severity, and calcium scores in 92 patients with DM-II from the CTRAD study. We graded CAD severity as none (normal coronaries), mild-moderate (<70% stenosis), and severe (70% or greater stenosis).

resultsA total of 39 (42.3%) asymptomatic patients with diabetes did not have CAD; 30.4% had mild/moderate CAD; and 27.1% had severe CAD. Mean EAT volume was highest in patients with severe CAD (143.14 cm(3)) as compared to mild/moderate CAD (112.7 cm(3)), and no CAD (107.5 cm(3)) (p = 0.003). After adjustment of clinical risk factors, notably, CAC score, multivariate regression analysis showed EAT volume was an independent predictor of CAD severity in this sample (odds ratio 11.2, 95% confidence interval 1.7-73.8, p = 0.01).

conclusionsIncreasing EAT volume in asymptomatic patients with DM-II is associated with presence of severe CAD, independent of BMI and CAC, as well as traditional risk factors.

Indexed as

Adipose TissueBiomarkersCalcinosisCalciumCoronary AngiographyCoronary Artery DiseaseCoronary VesselsDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansMaleMiddle AgedMultidetector Computed TomographyPericardiumRetrospective StudiesBiomarkersCalciumComputed tomography angiographyCoronary artery diseaseDiabetesEATMulti-detector computed tomographyNCT01564485Pericardial fat

Identifiers

PMID25262111
PMCPMC4261017

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.