Evidence map›Paper›PMID 41706388›Full record

ArticleThe international journal of cardiovascular imaging2026

The impact of epicardial adipose tissue quantification by computed tomography on predicting postoperative outcomes in coronary artery bypass grafting surgery.

Mehmet Dogmus, Sevtap Dogan, Ozgur Baris, Canbolat Mert Holat, Mustafa Eren Tosun, Torehan Ozer

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Article in The international journal of cardiovascular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Mehmet DogmusDepartment of Radiology, School of Medicine, Kocaeli University, Kocaeli, Turkey. mehmetdogmus94@gmail.com.ORCID http://orcid.org/0000-0001-8621-5253
Sevtap DoganDepartment of Radiology, School of Medicine, Kocaeli University, Kocaeli, Turkey.ORCID http://orcid.org/0000-0002-5862-6730
Ozgur BarisDepartment of Cardiac and Vascular Surgery, School of Medicine, Kocaeli University, Kocaeli, Turkey.ORCID http://orcid.org/0000-0002-7231-4709
Canbolat Mert HolatDepartment of Cardiac and Vascular Surgery, School of Medicine, Kocaeli University, Kocaeli, Turkey.ORCID http://orcid.org/0000-0002-8357-2463
Mustafa Eren TosunDepartment of Cardiac and Vascular Surgery, School of Medicine, Kocaeli University, Kocaeli, Turkey.ORCID http://orcid.org/0000-0002-0345-1013
Torehan OzerDepartment of Radiology, School of Medicine, Kocaeli University, Kocaeli, Turkey.ORCID http://orcid.org/0000-0002-1446-758X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEpicardial adipose tissue (EAT) modulates cardiovascular risk, but its surgical implications remain unclear. We investigated whether CT-quantified EAT predicts postoperative outcomes in isolated coronary artery bypass grafting (CABG) patients.

methodsThis retrospective study analysed isolated CABG patients (2017-2024) with preoperative CT. EAT volume and thickness were measured using semi-automated segmentation. Primary endpoints were correlation of EAT with postoperative clinical outcomes; sternal wound infection, renal insufficiency, cerebrovascular events, postoperative atrial fibrillation (POAF) and other cardiac arrhythmias, and short- and medium-term mortality.

resultsThe study included 325 patients. EAT volume > 108 cm³ predicted sternal wound infection (AUC = 0.632, 62.5% sensitivity, 63.5% specificity; p = 0.0135). EAT thickness > 30.5 mm correlated with 30-day mortality (AUC = 0.650, p = 0.0428). No association with POAF was observed (p = 0.21).

conclusionsQuantification of EAT in CABG patients may be a prognostic marker, especially providing risk assessment regarding postoperative sternal infection and short- term mortality.

Indexed as

Adipose TissueAdiposityComputed Tomography AngiographyCoronary Artery BypassCoronary Artery DiseaseEpicardial Adipose TissueMultidetector Computed TomographyTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentComputed tomographyCoronary artery bypass graftingEpicardial adipose tissuePostoperative complications

Identifiers

PMID41706388

What Socratic holds

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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 Socratic graph.