Evidence map›Paper›PMID 38545037›Full record

ArticleQuantitative imaging in medicine and surgery2024

Association of epicardial fat volume with subclinical myocardial damage in patients with type 2 diabetes mellitus.

Yurui Hu, Wenji Yu, Feifei Zhang, Yufeng Wang, Jingwen Wang, Peng Wan, Xiaoliang Shao, Jianfeng Wang, Yonghong Sun, Yuetao Wang

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

10 authors at 1 institution in 1 country.

Yurui Hu *Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Wenji Yu *Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Feifei ZhangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Yufeng WangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Jingwen WangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Peng WanDepartment of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Xiaoliang ShaoDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Jianfeng WangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Yonghong SunDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Yuetao WangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.ORCID https://orcid.org/0000-0003-2859-8625
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In type 2 diabetes mellitus (T2DM) patients, left ventricular systolic dyssynchrony (LVSD) with normal left ventricular ejection fraction (LVEF) and normal myocardial perfusion could referred to as subclinical myocardial damage, which is difficult to diagnose at an early stage. Epicardial adipose tissue, a distinctive heart-specific visceral fat, is closely related to various cardiovascular diseases. The objective of this study was to investigate the correlation between epicardial fat volume (EFV) and subclinical myocardial damage in T2DM patients. Methods: This retrospective cross-sectional study included 117 T2DM patients with normal myocardial perfusion by single photon emission computed tomography-computed tomography (SPECT-CT) and normal LVEF by echocardiography. The study was conducted from January 2018 to December 2022. Patient data were collected through electronic medical records including basic patient information, medical history, laboratory tests, and medication data. The EFV was quantified through a non-contrast CT scan. Quantitative indicators of LVSD including phase standard deviation (PSD) and phase histogram bandwidth (PBW) were obtained through phase analysis of the gated rest myocardial perfusion imaging (MPI). Additionally, 83 healthy individuals at the same time were selected to gain the reference threshold of LVSD indicators (13.1° for PSD and 37.6° for PBW). Univariate and multivariable logistic regression models were performed to analyze factors influencing LVSD. A generalized additive model (GAM) was applied to explore the relationship between EFV and LVSD. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic value of EFV for LVSD. Results: Among all patients, 32 (27.4%) patients had LVSD. Compared with the non-LVSD group, the body mass index (BMI) and EFV were higher in the LVSD group (25.83±2.66 Conclusions: EFV is an independent risk factor for LVSD in T2DM patients with normal LVEF and normal MPI, which could potentially serve as a novel imaging marker and a potential therapeutic target for subclinical myocardial damage.

Indexed as

Epicardial fat volume (EFV)gated myocardial perfusion imaging (GMPI)left ventricular systolic dyssynchrony (LVSD)subclinical myocardial damagetype 2 diabetes mellitus (T2DM)

Identifiers

PMID38545037
PMCPMC10963843
OpenAlexW4392593880

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.