Evidence map›Paper›PMID 40725614›Full record

ReviewJournal of clinical medicine2025

Cardiac Magnetic Resonance Imaging and Arrhythmic Risk Stratification in Cardiomyopathies.

Gianluca Di Bella, Antonino Micari, Roberto Licordari, Pasquale Crea, Luigi Colarusso, Maurizio Cusmà-Piccione, Rocco Donato, Tommaso D'Angelo, Giuseppe Dattilo, Antonino Recupero and 3 more

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 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

13 authors.

Gianluca Di BellaCardiology Unit, Department of Clinical and Experimental Medicine, University Hospital of Messina, 98124 Messina, Italy.
Antonino MicariCardiology Unit, Department of Clinical and Experimental Medicine, University Hospital of Messina, 98124 Messina, Italy.
Roberto LicordariDepartment of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98124 Messina, Italy.ORCID 0000-0003-3185-9240
Pasquale CreaCardiology Unit, Department of Clinical and Experimental Medicine, University Hospital of Messina, 98124 Messina, Italy.
Luigi ColarussoCardiology Unit, Department of Clinical and Experimental Medicine, University Hospital of Messina, 98124 Messina, Italy.ORCID 0000-0003-2946-0724
Maurizio Cusmà-PiccioneCardiology Unit, Department of Clinical and Experimental Medicine, University Hospital of Messina, 98124 Messina, Italy.
Rocco DonatoDepartment of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98124 Messina, Italy.
Tommaso D'AngeloDepartment of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98124 Messina, Italy.ORCID 0000-0003-0004-6378
Giuseppe DattiloDepartment of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98124 Messina, Italy.
Antonino RecuperoCardiology Unit, Department of Clinical and Experimental Medicine, University Hospital of Messina, 98124 Messina, Italy.
Cesare de GregorioCardiology Unit, Department of Clinical and Experimental Medicine, University Hospital of Messina, 98124 Messina, Italy.ORCID 0000-0003-3022-266X
Antonio MicariDepartment of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98124 Messina, Italy.
Giovanni Donato AquaroAcademic Radiology, Department of Surgical, Medical and Molecular Pathology and of Critical Area, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0003-0915-915X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac magnetic resonance imaging (CMRI) has become an indispensable tool in evaluating arrhythmic risk and guiding therapeutic decisions in patients with non-ischemic cardiomyopathies (NICMs), including dilated (DCM), hypertrophic (HCM), and arrhythmogenic cardiomyopathies (ACM). Both European and American guidelines have given an additive and different value of late gadolinium enhancement (LGE) in specific morpho-functional (hypertrophic, dilated, and arrhythmogenic) phenotypes. In particular, LGE plays a different weight in relation to different cardiomyopathies. In dilated cardiomyopathy, LGE is able to predict arrhythmic risk in relationship to the presence and localization (septal and/or ring like LGE). On the contrary, in HCM, LGE is related to increased risk of cardiac death according to the extent (LGE >15%), while in ACM, it has a greater role in the presence of fat infiltration associated with LGE. In this review, we aim to identify predictors of sudden cardiac death related to myocardial structural features seen in CMRI in cardiomyopathies, going beyond the sole assessment of left ventricular function and ejection fraction.

Indexed as

cardiac imagingcardiac magnetic resonance imagingcardiomyopathiessudden cardiac deathventricular arrhythmias

Identifiers

PMID40725614
PMCPMC12295573

What Socratic 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 Socratic graph.