Evidence map›Paper›PMID 36231122›Full record

ArticleCells2022

Stereological Estimation of Myocardial Fat and Its Associations with Obesity, Epicardial, and Visceral Adipose Tissue.

Pernille Heimdal Holm, Louise Hindsø, Kristine Boisen Olsen, Jytte Banner

Open access · goldAbstract read
In one paragraph

Article in Cells, 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
0.3field-weighted citation impact, top 39% 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
  3. Quantitative Histological Insights Into Sudden Arrhythmic Death Syndrome: Findings From a Forensic Autopsy Cohort.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
    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

4 authors at 2 institutions in 1 country.

Pernille Heimdal HolmSection of Forensic Pathology, Department of Forensic Medicine, University of Copenhagen, 2100 Copenhagen, Denmark.ORCID 0000-0002-6613-6280
Louise HindsøDepartment of Radiology, University Hospital of Copenhagen, Rigshospitalet, 2100 Copenhagen, Denmark.ORCID 0000-0002-8814-5604
Kristine Boisen OlsenSection of Forensic Pathology, Department of Forensic Medicine, University of Copenhagen, 2100 Copenhagen, Denmark.
Jytte BannerSection of Forensic Pathology, Department of Forensic Medicine, University of Copenhagen, 2100 Copenhagen, Denmark.ORCID 0000-0002-7559-1285
University of Copenhagen · DKRigshospitalet · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The normal human heart contains epicardial adipose tissue (EAT) and myocardial fat. The associations between obesity, myocardial fat, visceral adipose tissue (VAT), and cardiovascular disease are not fully understood. The objective of this study was to estimate myocardial fat using stereological methods and investigate its relations with obesity, EAT, and VAT. To establish the EAT volume, 115 deceased individuals were included, and postmortem computed tomography was conducted on their eviscerated hearts. Six samples from the left and right ventricles (LV and RV) of the heart were stereologically examined to calculate the percentage of myocardial fat. Kidney and omental fat were weighed at autopsy, and the waist-hip ratio was calculated. Females had a slightly non-significantly (

Indexed as

Intra-Abdominal FatObesityAdipose TissueBody Mass IndexFemaleHumansMalePericardiumepicardial adipose tissuemyocardial fatPMCTstereologyvisceral adipose tissue

Identifiers

PMID36231122
PMCPMC9563020
OpenAlexW4303685382

What OpenQuestion 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 OpenQuestion graph.