Evidence map›Paper›PMID 37240587›Full record

ReviewJournal of clinical medicine2023

Cardiac Magnetic Resonance in HCM Phenocopies: From Diagnosis to Risk Stratification and Therapeutic Management.

Roberto Licordari, Giancarlo Trimarchi, Lucio Teresi, Davide Restelli, Francesca Lofrumento, Alessia Perna, Mariapaola Campisi, Cesare de Gregorio, Patrizia Grimaldi, Danila Calabrò and 5 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
13.0field-weighted citation impact, top 1% of its field
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

45 citing papers in PubMed, 59 citations in OpenAlex.

  1. Forward Dynamics: Modern Insights into Mitral Systolic Anterior Motion.Journal of cardiovascular development and disease · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. 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

15 authors at 2 institutions in 1 country.

Roberto LicordariDepartment of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy.ORCID 0000-0003-3185-9240
Giancarlo TrimarchiDepartment of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy.
Lucio TeresiDepartment of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy.
Davide RestelliDepartment of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy.
Francesca LofrumentoDepartment of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy.
Alessia PernaDepartment of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy.
Mariapaola CampisiDepartment of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy.
Cesare de GregorioDepartment of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy.ORCID 0000-0003-3022-266X
Patrizia GrimaldiDepartment of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy.
Danila CalabròDepartment of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy.
Francesco CostaDepartment of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy.ORCID 0000-0002-3097-2834
Antonio Giovanni VersaceDepartment of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy.
Antonio MicariDepartment of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, 98100 Messina, Italy.
Giovanni Donato AquaroAcademic Radiology Unit, Department of Surgical Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0003-0915-915X
Gianluca Di BellaDepartment of Clinical and Experimental Medicine, University of Messina, 98100 Messina, Italy.
University of Messina · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) is a genetic heart disease characterized by the thickening of the heart muscle, which can lead to symptoms such as chest pain, shortness of breath, and an increased risk of sudden cardiac death. However, not all patients with HCM have the same underlying genetic mutations, and some have conditions that resemble HCM but have different genetic or pathophysiological mechanisms, referred to as phenocopies. Cardiac magnetic resonance (CMR) imaging has emerged as a powerful tool for the non-invasive assessment of HCM and its phenocopies. CMR can accurately quantify the extent and distribution of hypertrophy, assess the presence and severity of myocardial fibrosis, and detect associated abnormalities. In the context of phenocopies, CMR can aid in the differentiation between HCM and other diseases that present with HCM-like features, such as cardiac amyloidosis (CA), Anderson-Fabry disease (AFD), and mitochondrial cardiomyopathies. CMR can provide important diagnostic and prognostic information that can guide clinical decision-making and management strategies. This review aims to describe the available evidence of the role of CMR in the assessment of hypertrophic phenotype and its diagnostic and prognostic implications.

Indexed as

cardiac magnetic resonancehypertrophic cardiomyopathyphenocopies

Identifiers

PMID37240587
PMCPMC10218866
OpenAlexW4376644491

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.