Evidence map›Paper›PMID 42894112›Full record

Observational studyBMC cardiovascular disorders2026

Analysis of myocardial work in different obesity phenotypes and its association with epicardial adipose tissue.

Zhenjiang Wang, Chaodi Tan, Zhuoxin Lyu, Zhuzhi Wen, Tao Wu, Dengfeng Geng, Shaoxin Zheng

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhenjiang Wang *Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510145, China.
Chaodi Tan *Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510145, China.
Zhuoxin Lyu *Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510145, China.
Zhuzhi WenDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510145, China.
Tao WuDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510145, China.
Dengfeng GengDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510145, China. dfengg@126.com.
Shaoxin ZhengDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510145, China. schwannnn@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate subclinical cardiac dysfunction across distinct obesity phenotypes using myocardial work (MW) indices, and to investigate the moderating role of epicardial adipose tissue (EAT) on MW impairment.

methodsOne hundred ninety-two participants were categorized by BMI and metabolic status into four groups: metabolically healthy normal weight (MHNW), metabolically healthy obesity (MHO), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy obesity (MUO). MW indices were measured using speckle-tracking echocardiography. EAT volume was quantified from ECG-gated CT scans. Associations were analyzed using ANCOVA and regression models.

resultsDespite no significant differences in left ventricular ejection fraction (LVEF) among the groups, MUNW and MUO individuals exhibited significantly impaired MW, characterized by lower global work index (GWI), global constructive work (GCW), and global work efficiency (GWE), alongside higher global waste work (GWW), compared with MHNW controls. MHO patients showed significantly better MW profiles than MUNW and MUO groups. EAT volume was increased in all obesity phenotype groups. Although no direct association was found between EAT volume and MW indices, EAT volume significantly moderated the relationship between Metabolically Unhealthy (MUH) and both GWE and GWW.

conclusionsMW detects subclinical dysfunction earlier than LVEF across obesity phenotypes, with impairment progressively worsening from MHO to MUNW to MUO. In metabolically unhealthy individuals with increased EAT volume, more pronounced reductions in GWE and elevations in GWW were observed. TRIAL RRGISTRATION: This study has been registered in the Chinese Clinical Trial Registry under the registration number ChiCTR2500100754 (registration date: April 15, 2025).

Indexed as

Epicardial Adipose TissueMyocardial ContractionObesityAgedBody Mass IndexCase-Control StudiesCross-Sectional StudiesEchocardiographyFemaleHeartHumansMaleMiddle AgedPhenotypeStroke VolumeTomography, X-Ray ComputedEpicardial adipose tissueMetabolic syndromeMyocardial workObesity phenotypeSubclinical cardiac dysfunction

Identifiers

PMID42894112
PMCPMC13679159

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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.