Evidence map›Paper›PMID 41949241›Full record

ArticleJACC. Asia2026

Prognostic Value of Left Ventricular Kinetic Energy for Predicting Major Adverse Events in Hypertrophic Cardiomyopathy.

Mengyao Hu, Xiaodan Zhao, Ru-San Tan, Phong Teck Lee, Pei Yang, Shuang Leng, Yipei Song, Xin Zhang, Rob J van der Geest, Pankaj Garg and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JACC. Asia, 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

12 authors.

Mengyao HuDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China; Jiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Jiangxi, China; National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore.
Xiaodan ZhaoNational Heart Research Institute Singapore, National Heart Centre Singapore, Singapore.
Ru-San TanNational Heart Research Institute Singapore, National Heart Centre Singapore, Singapore; Duke-National University of Singapore Medical School, Singapore.
Phong Teck LeeNational Heart Research Institute Singapore, National Heart Centre Singapore, Singapore.
Pei YangDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China; Jiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Jiangxi, China; National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore.
Shuang LengNational Heart Research Institute Singapore, National Heart Centre Singapore, Singapore; Duke-National University of Singapore Medical School, Singapore.
Yipei SongDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China; Jiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Jiangxi, China.
Xin ZhangDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China; Jiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Jiangxi, China.
Rob J van der GeestDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Pankaj GargDepartment of Cardiology, Norfolk and Norwich University Hospitals National Health Service Foundation Trust, Norwich, United Kingdom; Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.
Lianggeng GongDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China; Jiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Jiangxi, China. Electronic address: gong111999@126.com.
Liang ZhongNational Heart Research Institute Singapore, National Heart Centre Singapore, Singapore; Duke-National University of Singapore Medical School, Singapore; Department of Biomedical Engineering, National University of Singapore, Singapore. Electronic address: zhong.liang@duke-nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertrophied left ventricle (LV) in hypertrophic cardiomyopathy (HCM) alters blood flow hemodynamics.

objectivesThe authors aimed to evaluate whether 4-dimensional (4D) flow cardiac magnetic resonance (CMR) parameters can predict major adverse cardiac events (MACE) in HCM.

methodsThis retrospective study included 165 adult HCM patients (mean age 51 years; 115 were male), and 115 normal control subjects with similar age and sex (INITIATE registry). All subjects underwent cine and 4D flow CMR, with LV ejection fraction and maximal left atrial volume calculated from cine images, and LV flow components and kinetic energy (KE) computed from 4D flow CMR. MACE included sudden cardiac death (SCD), aborted SCD, heart failure hospitalization, and stroke.

resultsDuring follow-up (median: 38 months; Q1-Q3: 23-48 months), 30 patients (18%) experienced MACE. Compared with control subjects, HCM patients had reduced LV global KEi

conclusionsWe found that 4D flow-derived LV global KEi

Indexed as

4D flow CMRflow componenthypertrophic cardiomyopathykinetic energysurvival analysis

Identifiers

PMID41949241
PMCPMC13080750

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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.