Evidence map›Paper›PMID 41701436›Full record

ReviewJournal of echocardiography2026

Echocardiographic evaluation and clinical implications of cardiac remodeling in obesity.

Yuichiro Okushi, Tomonori Takahashi, Kenya Kusunose

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of echocardiography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yuichiro OkushiCardiovascular Department, Tokushima University Hospital, Tokushima, Japan. y.okushi0110@gmail.com.ORCID http://orcid.org/0009-0004-8534-6760
Tomonori TakahashiCardiovascular Department, Tokushima University Hospital, Tokushima, Japan.
Kenya KusunoseDepartment of Cardiovascular Medicine, Nephrology, and Neurology, University of the Ryukyus, Ginowan, Okinawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global prevalence of obesity continues to rise. Obesity impacts left ventricular (LV) structure and function through both hemodynamic and metabolic changes and increases the risk of many cardiovascular diseases. Obesity is a significant risk factor for heart failure, particularly HFpEF, and is closely associated with its increasing prevalence, making it a major clinical challenge. Echocardiography, one of the most widely used non-invasive tools for assessing cardiac structure and function, is highly valuable in evaluating cardiovascular complications caused by obesity. Some parameters begin to change already in the overweight stage and allow early detection of cardiac remodeling. Major treatments for obesity include diets, physical activity, bariatric surgery, and pharmacological therapies. Bariatric surgery results in substantial weight loss and improvements in LV structure and function. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have recently been used in obesity treatment, with reports indicating improvements in diastolic function in obese patients. Early and appropriate obesity treatments may help prevent the development of heart failure. This review focuses on the impact of obesity on the heart, the role of advanced echocardiographic evaluation, and the therapeutic effects of bariatric surgery and GLP-1 RAs in improving obesity-related cardiac dysfunction.

Indexed as

EchocardiographyHeart FailureHeart VentriclesObesityVentricular RemodelingBariatric SurgeryHumansBariatric surgeryCardiac functionCardiac structureEchocardiographyGLP-1 RAObesity

Identifiers

What OpenQuestion holds

Textmetadata
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.