Evidence map›Paper›PMID 40795835›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2025

Cardiovascular magnetic resonance to differentiate veteran athlete's heart with cavity dilatation and mild dilated cardiomyopathy.

Wasim Javed, Raluca Tomoaia, Maryum Farooq, Bradley Chambers, Ioannis Botis, Ze M Goh, Benjamin Brown, Louise A E Brown, Jonathan Farley, Hui Xue and 6 more

Abstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2025. 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. Review
  2. Review
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

16 authors.

Wasim JavedDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0002-5677-5708
Raluca TomoaiaCardiology Department, Iuliu Hațieganu, University of Medicine and Pharmacy, Cluj-Napoca, Romania.ORCID 0000-0002-1944-4088
Maryum FarooqDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Bradley ChambersDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Ioannis BotisDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Ze M GohDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Benjamin BrownDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Louise A E BrownDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Jonathan FarleyDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Hui XueCardiovascular Branch, National Institutes for Health, National Heart, Lung, and Blood Institute, Bethesda, USA.
Eylem LeveltCardiometabolic Imaging Department, Baker Heart and Diabetes Institute & University of Melbourne, Melbourne, Australia.
Erica Dall'ArmellinaDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
John P GreenwoodCardiometabolic Imaging Department, Baker Heart and Diabetes Institute & University of Melbourne, Melbourne, Australia.ORCID 0000-0002-2861-0914
Peter KellmanCardiovascular Branch, National Institutes for Health, National Heart, Lung, and Blood Institute, Bethesda, USA.ORCID 0000-0002-9875-6070
Sven PleinDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0002-0997-4384
Peter P SwobodaDepartment of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.

Funding

Leeds Clinical Research Facility and Biomedical Research Centre FS/CRA22/23034Leeds Clinical Research Facility and Biomedical Research Centre NIHR203331National Institute for Health ResearchNIHR
6 · The paper itself

Abstract

aimsThis study aimed to investigate the distribution of myocardial fibrosis and patterns of tissue characteristics on cardiovascular magnetic resonance (CMR) between athletes with left ventricular (LV) dilatation and mild dilated cardiomyopathy (DCM) patients. METHODS AND

resultsWe prospectively recruited male cyclists/triathletes aged ≥50 years who undertook ≥10 h/week of exercise for ≥15 years along with age-/sex-matched patients with non-ischaemic heart failure (HF). Participants underwent clinical assessment, 12-lead ECG, stress-perfusion CMR with fibrosis assessment, and parametric tissue mapping.Following CMR, included participants in both groups had left ventricular ejection fraction (LVEF) > 40% and left ventricular end-diastolic volume indexed to body surface area (LVEDVi) ≥ 110 mL/m2 without ischaemic heart disease or significant cardiac pathology on CMR likely to cause HF. Of 113 participants (64 athletes and 49 mild DCM patients), athletes with fibrosis demonstrated a greater prevalence of inferolateral fibrosis (87.5% vs. 50.0%, P = 0.002), whereas inferoseptal fibrosis was more common in mild DCM patients (45.8% vs. 9.4%, P = 0.002). Native T1 (1249.0 ± 38.1 vs. 1308.3 ± 47.1 ms, P < 0.001) and extracellular volume (ECV) (22.0 ± 2.1 vs. 25.9 ± 3.5%, P < 0.001) were lower in athletes. Athletes had greater right ventricular end-diastolic volume indexed to body surface area (RVEDVi) (121.0 ± 14.3 vs. 97.6 ± 25.2%, P < 0.001), myocardial perfusion reserve (MPR) (3.65 ± 1.30 vs. 2.76 ± 0.92, P < 0.001), and stress myocardial blood flow (MBF) (2.09 ± 0.70 vs. 1.62 ± 0.66, P < 0.001) than mild DCM patients. On receiver-operator curve analysis, native T1 [area under the curve (AUC) 0.89, P < 0.001], ECV (AUC 0.85, P < 0.001), RVEDVi (AUC 0.81, P < 0.001), and stress MBF (AUC 0.68, P = 0.002) were able to differentiate between groups.

conclusionSeptal fibrosis is rare amongst veteran athletes with LV dilation in contrast to mild DCM patients. Native T1, ECV, and RVEDVi can also discriminate between these overlapping phenotypes, which may be clinically useful.

Indexed as

AthletesCardiomegaly, Exercise-InducedCardiomyopathy, DilatedMagnetic Resonance Imaging, CineVeteransCase-Control StudiesDiagnosis, DifferentialElectrocardiographyFibrosisHumansMaleMiddle AgedProspective StudiesSeverity of Illness IndexStroke Volumeathlete’s heartdilated cardiomyopathymyocardial fibrosisparametric tissue characterization

Identifiers

PMID40795835
PMCPMC12571510

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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.