Evidence map›Paper›PMID 41209136›Full record

ReviewReviews in cardiovascular medicine2025

A New Era in the Management of Hypertrophic Cardiomyopathy.

Ana Perez-Asensio, Helena Llamas-Gomez, Ana Lara-Palomo, Alberto Villar-Ruiz, Cesar Jimenez-Mendez, Julian Palomino-Doza

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular 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. Review
  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

6 authors.

Ana Perez-AsensioCardiology Department, Hospital Universitario Puerta del Mar, 11007 Cadiz, Spain.ORCID https://orcid.org/0000-0001-9573-6771
Helena Llamas-GomezCardiology Department, Hospital Universitario Virgen del Rocío, 41013 Sevilla, Spain.ORCID https://orcid.org/0000-0002-8430-4743
Ana Lara-PalomoCardiology Department, Hospital Universitario Puerta del Mar, 11007 Cadiz, Spain.
Alberto Villar-RuizCardiology Department, Hospital Universitario Puerta del Mar, 11007 Cadiz, Spain.
Cesar Jimenez-MendezCardiology Department, Hospital Universitario Puerta del Mar, 11007 Cadiz, Spain.ORCID https://orcid.org/0000-0003-0282-3302
Julian Palomino-DozaCardiology Department, Hospital Universitario Doce de Octubre, 28041 Madrid, Spain.ORCID https://orcid.org/0000-0001-9400-7577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) is a prevalent cardiac disease characterized by marked phenotypic variability. Recent advances in diagnosis and treatment have allowed a personalized approach to the treatment of this disease. Depending on the predominant phenotype, management can be tailored to address left ventricular outflow tract obstruction, heart failure, arrhythmia control, and/or sudden cardiac death prevention. This review highlights recent advances that have transformed the therapeutic landscape of HCM. Modern imaging techniques have improved sudden cardiac death risk stratification. The development of myosin inhibitors represents a paradigm shift in the treatment of symptomatic obstructive HCM. Invasive septal reduction techniques have also evolved, with novel approaches such as percutaneous intramyocardial septal radiofrequency ablation and transapical beating-heart septal myectomy. Finally, gene-targeted therapies including replacement, editing and silencing approaches, are emerging as promising strategies for HCM management.

Indexed as

gene therapyhypertrophic cardiomyopathymyosin inhibitorsseptal reduction therapiessudden cardiac death risk stratification

Identifiers

PMID41209136
PMCPMC12593824

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.