Evidence map›Paper›PMID 35892072›Full record

ArticlePolish journal of radiology2022

Can epicardial and pericardial adipose tissue volume predict the presence and severity of coronary artery disease?

Sourav Panda, Leena Robinson Vimala, Roshan Livingstone, Benedicta Pearlin, Aparna Irodi, Elizabeth Joseph, Oommen K George

Open access · diamondAbstract read
In one paragraph

Article in Polish journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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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

7 authors at 1 institution in 1 country.

Sourav PandaChristian Medical College, Vellore, Tamil Nadu, India.
Leena Robinson VimalaChristian Medical College, Vellore, Tamil Nadu, India.
Roshan LivingstoneChristian Medical College, Vellore, Tamil Nadu, India.
Benedicta PearlinChristian Medical College, Vellore, Tamil Nadu, India.
Aparna IrodiChristian Medical College, Vellore, Tamil Nadu, India.
Elizabeth JosephChristian Medical College, Vellore, Tamil Nadu, India.
Oommen K GeorgeChristian Medical College, Vellore, Tamil Nadu, India.
Christian Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Excessive accumulation of free fatty acids in the coronary arteries can lead to coronary artery disease (CAD). Quantification of epicardial adipose tissue (EAT) and pericardial adipose tissue (PAT) is beneficial to understand its relationship with CAD, hypertension (HT), and diabetes. Material and methods: This retrospective study included 54 patients who underwent CT coronary angiogram using a multidetector row CT scanner. The EAT and PAT volumes from cardiac images were quantified using Image J software. The severity of CAD was graded using the CAD-RADS score. Results: Twenty-nine patients had no CAD, 21 patients had significant CAD, and 4 patients had insignificant CAD. Out of 21 patients with significant CAD, 14 had involvement of multiple coronary arteries. The EAT and PAT volumes were higher in patients with HT, DM, CAD-present group and significant-CAD-present group, but this was not statistically significant except the PAT volume with respect to diabetes. Significant correlation was found between EAT volume and calcium score ( Conclusions: Quantification of EAT and PAT volumes is beneficial in understanding its relationship with the presence and severity of coronary artery disease and its risk factors.

Indexed as

calcium scorecoronary artery diseaseepicardial adipose tissuepericardial adipose tissue

Identifiers

PMID35892072
PMCPMC9288194
OpenAlexW4285121470

What Socratic holds

Textmetadata
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 Socratic graph.