Evidence map›Paper›PMID 42181930›Full record

ArticleJournal of cardiovascular echography

Relationship between Epicardial Adipose Tissue Thickness Measured by Computed Tomography and Coronary Thrombus Burden in Patients with ST-elevation Myocardial Infarction.

Neveen Ibrahim Samy Agour, Mohammad Mahmoud Khallaf, Ahmed Mohamed Emara, Hend Mohamed Abdo Eldeeb

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Neveen Ibrahim Samy AgourDepartment of Cardiology, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
Mohammad Mahmoud KhallafDepartment of Cardiology, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
Ahmed Mohamed EmaraDepartment of Cardiology, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
Hend Mohamed Abdo EldeebDepartment of Cardiology, Faculty of Medicine, Menoufia University, Menoufia, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding the epicardial adipose tissue (EAT)-thrombus burden (TB) link in ST-segment elevation myocardial infarction (STEMI) may assist in singling out high-risk cases and guide therapies to reduce EAT or its activity, potentially improving outcomes. Aim: We aimed to study the EAT and coronary artery TB relationship in STEMI patients referred to primary percutaneous coronary intervention (PCI). Materials and Methods: This prospective observational study included 32 patients diagnosed with ST-elevation myocardial infarction (STEMI)و aged 18 years old or more, both sexes. All participants underwent primary percutaneous coronary intervention (PCI) within 12 hours of symptom onset and subsequently had a non-contrast cardiac computed tomography (CT) scan performed during their hospital stay to assess epicardial adipose tissue (EAT) thickness. Patients were assigned to two groups: relying on their angiographic thrombolysis in myocardial infarction (TIMI) thrombus grade: Group I: with low TB (Grades 0-3) and Group II: with high TB (Grades 4-5). Results: A strong positive correlation between EAT in the right atrioventricular (AV) groove and TIMI thrombus score ( Conclusions: Increased right AV groove EAT is strongly linked to higher TB in STEMI and may serve as a noninvasive CT predictor for thrombus risk.

Indexed as

Computed tomographycoronary thrombus burdenepicardial adipose tissue thicknessST-elevation myocardial infarction

Identifiers

PMID42181930
PMCPMC13197038

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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.