Evidence map›Paper›PMID 41591616›Full record

ArticleThe international journal of cardiovascular imaging2026

Changes in CMR-derived ventricular strain, fibrosis progression and outcomes in hypertrophic cardiomyopathy.

Alberto Aimo, Andrea Barison, Annamaria Del Franco, Chrysanthos Grigoratos, Alessandro Parlato, Chiara Zocchi, Giovanni Donato Aquaro, Giorgia Panichella, Carmelo De Gori, Ignazio Gueli and 7 more

Abstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2026. 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. Forward Dynamics: Modern Insights into Mitral Systolic Anterior Motion.Journal of cardiovascular development and disease · 2026
    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

17 authors.

Alberto AimoInterdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, Pisa, Italy. a.aimo@santannapisa.it.
Andrea BarisonInterdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
Annamaria Del FrancoCardiomyopathy Unit, Careggi University Hospital, Florence, Italy.
Chrysanthos GrigoratosInterdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
Alessandro ParlatoCardiology Division, University Hospital of Pisa, Pisa, Italy.
Chiara ZocchiCardiomyopathy Unit, Careggi University Hospital, Florence, Italy.
Giovanni Donato AquaroAcademic Radiology Unit, Department of Surgical Medical and Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy.
Giorgia PanichellaDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Carmelo De GoriRadiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Ignazio GueliCardiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Alessandro FolgheraiterCardiology Division, University Hospital of Trieste, Trieste, Italy.
Antonio De LucaCardiology Division, University Hospital of Trieste, Trieste, Italy.
Marco MerloCardiology Division, University Hospital of Trieste, Trieste, Italy.
Michele EmdinInterdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
Gianfranco SinagraCardiology Division, University Hospital of Trieste, Trieste, Italy.
Iacopo OlivottoCardiomyopathy Unit, Careggi University Hospital, Florence, Italy.
Giancarlo TodiereCardiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) is a major health concern, with cardiac magnetic resonance (CMR) playing a crucial role in risk assessment. We investigated for the first time the utility of sequential CMR, particularly strain analysis, for tracking HCM progression. We retrospectively evaluated HCM patients undergoing two CMR scans over a 10-year period. We measured changes in left ventricular (LV) strain parameters and examined their yearly changes as predictors of a composite of sudden cardiac death, life-threatening ventricular arrhythmias, stroke, new-onset atrial fibrillation, and heart failure hospitalizations. Patients (n = 114) were predominantly male (73%), with a median age of 51 years (interquartile range 36-60), obstructive HCM in 14%, and a median HCM risk score of 2% (1-3%). Only one patient (0.9%) had LGE ≥ 15% on the first scan, while 8 (7.0%) had LGE ≥ 15% after a median of 5.1 years (3.5-6.5). Absolute changes in LV strain displayed significant relationships with changes in LGE mass (longitudinal strain: beta = 0.227, p = 0.016; circumferential strain: beta = 0.421, p < 0.001; radial long-axis: beta=-0.261, p = 0.006). During a 4.3-year median follow-up after the second CMR scan (interquartile range 2.2-6.9), 40 patients experienced an event; hard arrhythmic events were infrequent. Among patients with LGE < 15% at baseline, yearly absolute changes in radial short-axis strain predicted outcomes beyond baseline HCM score and LGE extent (hazard ratio 1.12, 95% confidence interval 1.03-1.22, p = 0.011). In patients with predominantly early-stage HCM, worsening short-axis radial strain was associated with composite adverse events after the second CMR, independent of baseline LGE and ESC SCD risk.

Indexed as

Cardiomyopathy, HypertrophicMagnetic Resonance Imaging, CineMyocardiumVentricular Function, LeftVentricular RemodelingAdultArrhythmias, CardiacBiomechanical PhenomenaDeath, Sudden, CardiacDisease ProgressionFemaleFibrosisGlobal Longitudinal StrainHeart FailureHospitalizationHumansCardiac magnetic resonanceHCMHypertrophic cardiomyopathyRisk predictionStrain

Identifiers

PMID41591616
PMCPMC13136199

What OpenQuestion holds

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LicenceCC BY
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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.