Evidence map›Paper›PMID 40275589›Full record

ReviewESC heart failure2025

Dilated cardiomyopathy evaluation with Imagenomics: combining multimodal cardiovascular imaging and genetics.

Kristian Galanti, Ghaith Sharaf Dabbagh, Fabrizio Ricci, Sabina Gallina, Roberta Giansante, Ron Jacob, Edmond Obeng-Gyimah, Leslie T Cooper, Sanjay K Prasad, David H Birnie and 5 more

Abstract readReview
In one paragraph

Review in ESC heart failure, 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. Article
  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

15 authors.

Kristian GalantiDepartment of Neuroscience, Imaging and Clinical Sciences, G. D'Annunzio University of Chieti-Pescara, Chieti, Italy.ORCID https://orcid.org/0000-0002-9207-8985
Ghaith Sharaf DabbaghCenter for Inherited Cardiovascular Diseases, WellSpan Health, Lancaster, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7090-1064
Fabrizio RicciDepartment of Neuroscience, Imaging and Clinical Sciences, G. D'Annunzio University of Chieti-Pescara, Chieti, Italy.ORCID https://orcid.org/0000-0002-1401-6623
Sabina GallinaDepartment of Neuroscience, Imaging and Clinical Sciences, G. D'Annunzio University of Chieti-Pescara, Chieti, Italy.
Roberta GiansanteInstitute for Advanced Biomedical Technologies, G. D'Annunzio University of Chieti-Pescara, Chieti, Italy.ORCID https://orcid.org/0009-0000-8130-0897
Ron JacobThe Heart and Vascular Institute, Lancaster General Health/Penn Medicine, Lancaster, Pennsylvania, USA.
Edmond Obeng-GyimahPerelman Clinical Electrophysiology Section, Cardiovascular Division, Department of Medicine, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Leslie T CooperDivision of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.
Sanjay K PrasadThe Heart and Vascular Institute, Lancaster General Health/Penn Medicine, Lancaster, Pennsylvania, USA.
David H BirnieDepartment of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
Andrew P LandstromDivision of Cardiology, Department of Pediatrics (A.P.L.), School of Medicine, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0002-1878-9631
Selma F MohammedSchool of Medicine, Creighton University, Omaha, Nebraska, USA.ORCID https://orcid.org/0000-0003-3553-2720
Saidi MohiddinNIHR Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0002-1031-4084
Mohammed Y KhanjiNIHR Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0002-5903-4454
Anwar A ChahalCenter for Inherited Cardiovascular Diseases, WellSpan Health, Lancaster, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7825-8827

Funding

European Union ECS00000041
6 · The paper itself

Abstract

Dilated cardiomyopathy (DCM) is a clinical diagnosis characterized by the presence of left ventricular dilatation and systolic dysfunction unexplained by abnormal loading conditions or coronary artery disease. However, a broad range of phenotypic manifestations, encompassing isolated scar, DCM with preserved ejection fraction, and overt DCM, should be regarded as a diagnostic classification representing a broad spectrum of underlying aetiologies, including both inherited and acquired heart muscle disorders. A multimodal non-invasive imaging approach is essential for accurate morpho-functional assessment of cardiac chambers and is key to establish the cardiac phenotype and to rule out an underlying ischaemic aetiology. Furthermore, advanced imaging techniques enable deep cardiovascular phenotyping and non-invasive tissue characterization. The aim of this review is to propose a systematic approach to the diagnosis of DCM, emphasizing the importance of genetics and clinical findings for a precise and practical clinical approach. Also, we strive to qualify the role of cardiac imaging in the diagnosis of DCM, particularly on the relevance of novel techniques and clinical utility of actionable parameters to improve current diagnostic schemes and risk stratification algorithms. We further elaborate on the role of cardiac imaging to deliver optimal guidance to aetiology-based therapeutic approaches, verification of treatment response and disease progression monitoring.

Indexed as

Cardiomyopathy, DilatedMultimodal ImagingHumansMagnetic Resonance Imaging, CineStroke VolumeDCM perspectivesDilated cardiomyopathyGeneticsMultimodal cardiovascular imagingPersonalized medicine

Identifiers

PMID40275589
PMCPMC12287791

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.