Evidence map›Paper›PMID 39062175›Full record

ReviewBiomedicines2024

Cardiomyopathy and Sudden Cardiac Death: Bridging Clinical Practice with Cutting-Edge Research.

Raffaella Mistrulli, Armando Ferrera, Luigi Salerno, Federico Vannini, Leonardo Guida, Sara Corradetti, Lucio Addeo, Stefano Valcher, Giuseppe Di Gioia, Francesco Raffaele Spera and 2 more

Abstract readReview
In one paragraph

Review in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

12 authors.

Raffaella MistrulliDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy.
Armando FerreraDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy.
Luigi SalernoDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy.
Federico VanniniDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy.
Leonardo GuidaDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy.
Sara CorradettiDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy.
Lucio AddeoOLV Hospital Aalst, 9300 Aalst, Belgium.ORCID 0009-0004-4616-9300
Stefano ValcherOLV Hospital Aalst, 9300 Aalst, Belgium.ORCID 0000-0001-8355-9894
Giuseppe Di GioiaInstitute of Sports Medicine and Science, National Italian Olympic Committee, Largo Piero Gabrielli, 1, 00197 Rome, Italy.ORCID 0000-0002-9158-5440
Francesco Raffaele SperaDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy.
Giuliano TocciDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy.ORCID 0000-0002-0635-4921
Emanuele BarbatoDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sudden cardiac death (SCD) prevention in cardiomyopathies such as hypertrophic (HCM), dilated (DCM), non-dilated left ventricular (NDLCM), and arrhythmogenic right ventricular cardiomyopathy (ARVC) remains a crucial but complex clinical challenge, especially among younger populations. Accurate risk stratification is hampered by the variability in phenotypic expression and genetic heterogeneity inherent in these conditions. This article explores the multifaceted strategies for preventing SCD across a spectrum of cardiomyopathies and emphasizes the integration of clinical evaluations, genetic insights, and advanced imaging techniques such as cardiac magnetic resonance (CMR) in assessing SCD risks. Advanced imaging, particularly CMR, not only enhances our understanding of myocardial architecture but also serves as a cornerstone for identifying at-risk patients. The integration of new research findings with current practices is essential for advancing patient care and improving survival rates among those at the highest risk of SCD. This review calls for ongoing research to refine risk stratification models and enhance the predictive accuracy of both clinical and imaging techniques in the management of cardiomyopathies.

Indexed as

cardiomyopathiescardiovascular preventionrisk stratificationsudden cardiac death

Identifiers

PMID39062175
PMCPMC11275154

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.