Evidence map›Paper›PMID 37215845›Full record

ArticleHeliyon2023

Epicardial and thoracic subcutaneous fat texture analysis in patients undergoing cardiac CT.

Manfredi Agnese, Patrizia Toia, Giulia Sollami, Carmelo Militello, Leonardo Rundo, Salvatore Vitabile, Erica Maffei, Francesco Agnello, Cesare Gagliardo, Emanuele Grassedonio and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

14 authors.

Manfredi AgneseDepartment of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy.
Patrizia ToiaDepartment of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy.
Giulia SollamiDepartment of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy.
Carmelo MilitelloInstitute for High-Performance Computing and Networking, National Research Council (ICAR-CNR), Palermo, Italy.
Leonardo RundoDepartment of Information and Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, Salerno, Italy.
Salvatore VitabileDepartment of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy.
Erica MaffeiDepartment of Radiology, Fondazione Monasterio, Pisa, Italy.
Francesco AgnelloDepartment of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy.
Cesare GagliardoDepartment of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy.
Emanuele GrassedonioDepartment of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy.
Massimo GaliaDepartment of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy.
Filippo CademartiriDepartment of Radiology, Fondazione Monasterio, Pisa, Italy.
Massimo MidiriDepartment of Biomedicine, Neurosciences and Advanced Diagnostics - BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy.
Ludovico La GruttaDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties - ProMISE, University of Palermo, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of our study was to evaluate the feasibility of texture analysis of epicardial fat (EF) and thoracic subcutaneous fat (TSF) in patients undergoing cardiac CT (CCT). Materials and methods: We compared a consecutive population of 30 patients with BMI ≤25 kg/m Results: The volume of EF was higher in group B (mean 116.1 cm Conclusions: Texture analysis provides distinctive radiomic parameters of EF and TSF. EF and TSF had different radiomic features as the BMI varies.

Indexed as

Cardiac computed tomographyCardiovascular riskEpicardial fatTexture analysis

Identifiers

PMID37215845
PMCPMC10196784

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.