Evidence map›Paper›PMID 41497814›Full record

ArticleAmerican journal of preventive cardiology2026

Association of PREVENT risk model with body fat distribution and subclinical left ventricular dysfunction.

Kazutoshi Hirose, Koki Nakanishi, Masao Daimon, Naoko Sawada, Satoshi Konoma, Satomi Kobayashi, Hikari Seki, Yuriko Yoshida, Megumi Hirokawa, Tomoko Nakao and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of preventive cardiology, 2026. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Kazutoshi HiroseDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Koki NakanishiDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Masao DaimonDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Naoko SawadaDepartment of Cardiology, NTT Medical Center Tokyo, Tokyo, Japan.
Satoshi KonomaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Satomi KobayashiDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Hikari SekiDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Yuriko YoshidaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Megumi HirokawaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Tomoko NakaoDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Hiroyuki MoritaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Marco R Di TullioDepartment of Medicine, Columbia University, New York, NY, USA.
Shunichi HommaDepartment of Medicine, Columbia University, New York, NY, USA.
Makoto KuranoDepartment of Clinical Laboratory Medicine, The University of Tokyo, Tokyo, Japan.
Norihiko TakedaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recently developed Predicting Risk of cardiovascular disease EVENTs (PREVENT) risk model has shown excellent performance for cardiovascular risk stratification, but its relationship with body fat distribution and left ventricular (LV) mechanics is unknown. Methods: We investigated 517 participants free of overt cardiac disease who underwent an extensive cardiovascular health examination. The PREVENT risk score was calculated in each participant, and the study population was categorized into three groups based on the tertiles of the risk score. Body fat distribution was assessed using computed tomography and quantitatively assessed as visceral fat area (VFA) and subcutaneous fat area (SFA) at the level of the umbilicus. All participants also underwent two-dimensional transthoracic echocardiography, and LV global longitudinal strain (LVGLS) was obtained with speckle-tracking analysis. Univariable and multivariable logistic regression models were constructed to investigate the association between the PREVENT risk model and abnormal LVGLS (<17.0 % for male and <18.0 % for female) adjusting for the clinically relevant covariates. Results: Individuals with high PREVENT score had the largest VFA (160.0 [109.7-194.4] cm Conclusion: The PREVENT risk model was associated with abdominal visceral fat accumulation and subclinical LV dysfunction.

Indexed as

Body fat distributionLeft ventricular global longitudinal strainPREVENT risk modelVisceral adipose tissue

Identifiers

PMID41497814
PMCPMC12767867

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.