Evidence map›Paper›PMID 32764337›Full record

ArticleJournal of clinical medicine2020

Characterization of Left Ventricular Non-Compaction Cardiomyopathy.

Rebeca Lorca, María Martín, Isaac Pascual, Aurora Astudillo, Beatriz Díaz Molina, Helena Cigarrán, Elías Cuesta-Llavona, Pablo Avanzas, José Julían Rodríguez Reguero, Eliecer Coto and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Rebeca LorcaUnidad de Referencia de Cardiopatías Familiares-HUCA, Área del Corazón y Departamento de Genética Molecular, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.
María MartínUnidad de Referencia de Cardiopatías Familiares-HUCA, Área del Corazón y Departamento de Genética Molecular, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.
Isaac PascualUnidad de Referencia de Cardiopatías Familiares-HUCA, Área del Corazón y Departamento de Genética Molecular, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.ORCID 0000-0001-5433-1364
Aurora AstudilloFaculty of Medicine, University of Oviedo, 33014 Oviedo, Spain.
Beatriz Díaz MolinaUnidad de Referencia de Cardiopatías Familiares-HUCA, Área del Corazón y Departamento de Genética Molecular, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.
Helena CigarránServicio de Radiodiagnóstico, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.
Elías Cuesta-LlavonaUnidad de Referencia de Cardiopatías Familiares-HUCA, Área del Corazón y Departamento de Genética Molecular, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.ORCID 0000-0002-0924-0962
Pablo AvanzasUnidad de Referencia de Cardiopatías Familiares-HUCA, Área del Corazón y Departamento de Genética Molecular, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.ORCID 0000-0002-4958-6108
José Julían Rodríguez RegueroUnidad de Referencia de Cardiopatías Familiares-HUCA, Área del Corazón y Departamento de Genética Molecular, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.
Eliecer CotoUnidad de Referencia de Cardiopatías Familiares-HUCA, Área del Corazón y Departamento de Genética Molecular, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.
César MorísUnidad de Referencia de Cardiopatías Familiares-HUCA, Área del Corazón y Departamento de Genética Molecular, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.ORCID 0000-0002-2871-190X
Juan GómezUnidad de Referencia de Cardiopatías Familiares-HUCA, Área del Corazón y Departamento de Genética Molecular, Hospital Universitario Central Asturias, 33014 Oviedo, Spain.ORCID 0000-0002-3318-4649
Hospital Universitario Central de Asturias · ESUniversidad de Oviedo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Left ventricle non-compaction cardiomyopathy (LVNC) has gained great interest in recent years, being one of the most controversial cardiomyopathies. There are several open debates, not only about its genetic heterogeneity, or about the possibility to be an acquired cardiomyopathy, but also about its possible overdiagnosis based on imaging techniques. In order to better understand this entity, we identified 38 LVNC patients diagnosed by cardiac MRI (CMRI) or anatomopathological study that could underwent NGS-sequencing and clinical study. Anatomopathological exam was performed in eight available LVNC hearts. The genetic yield was 34.2%. Patients with negative genetic testing had better left ventricular ejection fraction (LVEF) or it showed a tendency to improve in follow-up, and a possible trigger factor for LVNC was identified in 1/3 of them. Nonetheless, cerebrovascular accidents occurred in similar proportions in both groups. We conclude that in LVNC there seem to be different ways to achieve the same final phenotype. Genetic testing has a good genetic yield and provides valuable information. LVNC without an underlying genetic cause may have a better prognosis in terms of LVEF evolution. However, anticoagulation to prevent cerebrovascular accident (CVA) should be carefully evaluated in all patients. Larger series with pathologic examination are needed to help better understand this entity.

Indexed as

cardiac magnetic resonancegeneticsleft ventricle non-compaction cardiomyopathynon-ischemic cardiomyopathy

Identifiers

PMID32764337
PMCPMC7464545
OpenAlexW3047340103

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.