Evidence map›Paper›PMID 39452301›Full record

ArticleJournal of cardiovascular development and disease2024

Association of Cardiovascular Risk Factors and Coronary Calcium Burden with Epicardial Adipose Tissue Volume Obtained from PET-CT Imaging in Oncological Patients.

Carmela Nappi, Andrea Ponsiglione, Carlo Vallone, Roberto Lepre, Luigi Basile, Roberta Green, Valeria Cantoni, Ciro Gabriele Mainolfi, Massimo Imbriaco, Mario Petretta and 1 more

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Carmela NappiDepartment of Advanced Biomedical Sciences, University Federico II, 80131 Naples, Italy.
Andrea PonsiglioneDepartment of Advanced Biomedical Sciences, University Federico II, 80131 Naples, Italy.
Carlo ValloneDepartment of Advanced Biomedical Sciences, University Federico II, 80131 Naples, Italy.
Roberto LepreDepartment of Advanced Biomedical Sciences, University Federico II, 80131 Naples, Italy.
Luigi BasileDepartment of Advanced Biomedical Sciences, University Federico II, 80131 Naples, Italy.
Roberta GreenDepartment of Advanced Biomedical Sciences, University Federico II, 80131 Naples, Italy.
Valeria CantoniDepartment of Advanced Biomedical Sciences, University Federico II, 80131 Naples, Italy.ORCID 0000-0003-3802-3104
Ciro Gabriele MainolfiDepartment of Advanced Biomedical Sciences, University Federico II, 80131 Naples, Italy.
Massimo ImbriacoDepartment of Advanced Biomedical Sciences, University Federico II, 80131 Naples, Italy.ORCID 0000-0001-5262-5430
Mario PetrettaIRCCS Synlab SDN, 80143 Naples, Italy.
Alberto CuocoloDepartment of Advanced Biomedical Sciences, University Federico II, 80131 Naples, Italy.ORCID 0000-0003-3431-7658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-body positron emission tomography (PET)-computed tomography (CT) imaging performed for oncological purposes may provide additional parameters such as the coronary artery calcium (CAC) and epicardial adipose tissue (EAT) volume with cost-effective prognostic information in asymptomatic people beyond traditional cardiovascular risk factors. We evaluated the feasibility of measuring the CAC score and EAT volume in cancer patients without known coronary artery disease (CAD) referred to whole-body

Indexed as

coronary artery calciumcoronary artery diseaseepicardial adipose tissuePET/CT imaging

Identifiers

PMID39452301
PMCPMC11508569

What Socratic holds

Textmetadata
LicenceCC BY
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.