Evidence map›Paper›PMID 41173274›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2025

Novel cardiovascular magnetic resonance strain heterogeneity phenotypes predict cardiovascular events: A prospective UK Biobank study.

Kerrick Hesse, Mohammed Y Khanji, C Anwar A Chahal, Sucharitha Chadalavada, Kenneth Fung, Jose D Vargas, Jose Paiva, Steffen E Petersen, Nay Aung

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Kerrick HesseWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, EC1M 6BQ, UK; Academic Cardiovascular Unit, James Cook University Hospital, Marton Road, Middlesbrough TS4 3BW, UK. Electronic address: k.hesse@qmul.ac.uk.
Mohammed Y KhanjiWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, EC1M 6BQ, UK; Newham University Hospital, Barts Health NHS Trust, Glen Road, Plaistow, London E13 8SL, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, EC1A 7BE, London, UK.
C Anwar A ChahalWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, EC1M 6BQ, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, EC1A 7BE, London, UK; Center for Inherited Cardiovascular Diseases, WellSpan Health, York, PA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Sucharitha ChadalavadaWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, EC1M 6BQ, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, EC1A 7BE, London, UK.
Kenneth FungWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, EC1M 6BQ, UK.
Jose D VargasDC Veterans Affairs Medical Center, Washington DC.
Jose PaivaWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, EC1M 6BQ, UK.
Steffen E PetersenWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, EC1M 6BQ, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, EC1A 7BE, London, UK.
Nay AungWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, EC1M 6BQ, UK; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, EC1A 7BE, London, UK.

Funding

British Heart Foundation FS/CRTF/23/2442.Medical Research Council MR/X020924/1
6 · The paper itself

Abstract

backgroundGlobal longitudinal (GLS), circumferential (GCS) and radial (GRS) strains may be insufficiently sensitive to early regional pathological cardiac remodeling on cardiovascular magnetic resonance imaging (CMR). Corresponding strain coefficients of variation, CoV

objectivesTo compare CoV

methodsCMR feature tracking-derived strain biomarkers from 60,746 UK Biobank participants were calculated. Kaplan-Meier survival analysis and Cox proportional hazards regression analyzed unadjusted and adjusted associations between strain biomarkers and CV outcomes, respectively. Covariables included age, sex, CV risk factors, left ventricular mass, end-diastolic volume, ejection fraction (LVEF) and pre-existent regional strain abnormalities. Logrank test for trend, hazard ratios (HR) and Uno's C-Index compared relative performances of CoV and global strain.

resultsOver a median follow-up 5.1 years, higher CoV

conclusionsHeterogeneity biomarkers are sensitive to early pathological signals by measuring disease regionality. CoV

Indexed as

Cardiovascular DiseasesMagnetic Resonance Imaging, CineMyocardial ContractionVentricular Function, LeftVentricular RemodelingAgedBiological Specimen BanksFemaleHumansIncidenceMaleMiddle AgedPhenotypePredictive Value of TestsPrognosisProspective StudiesBiomarkerCardiovascular magnetic resonance imagingCoefficient of variationGlobal longitudinal strainHeterogeneity

Identifiers

PMID41173274
PMCPMC12766616

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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.