Evidence map›Paper›PMID 41246032›Full record

ArticleFrontiers in cardiovascular medicine2025

Subclinical myocardial dysfunction assessed by cardiac magnetic resonance feature tracking predicts ventricular arrhythmias in early-stage hypertension.

Bin Fang, Weiwei Liao, Jianping Zhong, Junyuan Zhong

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. 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

4 authors.

Bin Fang *Medical Imaging Center, Ganzhou People's Hospital, Ganzhou Hospital-Nanfang Hospital, Ganzhou, China.
Weiwei Liao *Medical Imaging Center, Ganzhou People's Hospital, Ganzhou Hospital-Nanfang Hospital, Ganzhou, China.
Jianping ZhongMedical Imaging Center, Ganzhou People's Hospital, Ganzhou Hospital-Nanfang Hospital, Ganzhou, China.
Junyuan ZhongMedical Imaging Center, Ganzhou People's Hospital, Ganzhou Hospital-Nanfang Hospital, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Substantial evidence supports the utility of cardiac magnetic resonance feature tracking (CMR-FT) in evaluating subclinical cardiac dysfunction. This study investigated the clinical value of CMR-derived left ventricular (LV) strain for detecting myocardial impairment in asymptomatic patients with hypertension (HTN) and explored its association with ventricular arrhythmias (VA). Methods: A retrospective analysis included 150 HTN patients [with/without LV hypertrophy (LVH)] and 60 healthy controls. Clinical data and CMR parameters were collected. Conventional LV functional indices and strain parameters-global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS)-were measured and compared across groups. The multivariable regression model was used to identify independent risk factors for VA. Results: Compared with controls, HTN patients showed significantly elevated LV mass index (LVMI) and maximal wall thickness (LVMWT) ( Conclusion: CMR-FT-derived myocardial strain parameters demonstrate high sensitivity in detecting subclinical LV dysfunction in HTN patients. Furthermore, progressive impairment of GCS may serve as an independent risk factor for VA in this population. These findings provide imaging-based evidence to guide early interventions aimed at mitigating cardiac remodeling and arrhythmia development in HTN.

Indexed as

cardiac dysfunctionCMR-FThypertensionmyocardial strainventricular arrhythmias

Identifiers

PMID41246032
PMCPMC12611894

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.