Evidence map›Paper›PMID 28138913›Full record

ReviewJournal of cardiovascular translational research2017

Usefulness of Genetic Testing in Hypertrophic Cardiomyopathy: an Analysis Using Real-World Data.

M Alejandra Restrepo-Cordoba, Oscar Campuzano, Tomás Ripoll-Vera, Marta Cobo-Marcos, Irene Mademont-Soler, José M Gámez, Fernando Dominguez, Esther Gonzalez-Lopez, Laura Padron-Barthe, Enrique Lara-Pezzi and 3 more

Erratum issuedOpen access · bronzeAbstract readEvaluation StudyReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Review
  11. Follow-up and prognosis of HCM.Global cardiology science & practice · 2018
    Review
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 1 country.

M Alejandra Restrepo-CordobaHeart Failure and Inherited Cardiac Diseases Unit, Department of Cardiology, Hospital Universitario Puerta de Hierro, Manuel de Falla 2, Majadahonda, 28222, Madrid, Spain.
Oscar CampuzanoCardiovascular Genetics Centre, Institut d'Investigació Biomèdica de Girona (IDIBGi), Girona, Spain.
Tomás Ripoll-VeraDepartment of Cardiology, Hospital Son Llatzer & IdISPa, Mallorca, Spain.
Marta Cobo-MarcosHeart Failure and Inherited Cardiac Diseases Unit, Department of Cardiology, Hospital Universitario Puerta de Hierro, Manuel de Falla 2, Majadahonda, 28222, Madrid, Spain.
Irene Mademont-SolerCardiovascular Genetics Centre, Institut d'Investigació Biomèdica de Girona (IDIBGi), Girona, Spain.
José M GámezDepartment of Cardiology, Hospital Son Llatzer & IdISPa, Mallorca, Spain.
Fernando DominguezHeart Failure and Inherited Cardiac Diseases Unit, Department of Cardiology, Hospital Universitario Puerta de Hierro, Manuel de Falla 2, Majadahonda, 28222, Madrid, Spain.
Esther Gonzalez-LopezHeart Failure and Inherited Cardiac Diseases Unit, Department of Cardiology, Hospital Universitario Puerta de Hierro, Manuel de Falla 2, Majadahonda, 28222, Madrid, Spain.
Laura Padron-BartheHeart Failure and Inherited Cardiac Diseases Unit, Department of Cardiology, Hospital Universitario Puerta de Hierro, Manuel de Falla 2, Majadahonda, 28222, Madrid, Spain.
Enrique Lara-PezziCentro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Luis Alonso-PulponHeart Failure and Inherited Cardiac Diseases Unit, Department of Cardiology, Hospital Universitario Puerta de Hierro, Manuel de Falla 2, Majadahonda, 28222, Madrid, Spain.
Ramon BrugadaCardiovascular Genetics Centre, Institut d'Investigació Biomèdica de Girona (IDIBGi), Girona, Spain.
Pablo Garcia-PaviaHeart Failure and Inherited Cardiac Diseases Unit, Department of Cardiology, Hospital Universitario Puerta de Hierro, Manuel de Falla 2, Majadahonda, 28222, Madrid, Spain. pablogpavia@yahoo.es.
Centro de Investigación Biomédica en Red · ESHospital Son Llatzer · ESSpanish National Centre for Cardiovascular Research · ESHospital Universitario Puerta de Hierro Majadahonda · ESCentro de Investigación en Red en Enfermedades Cardiovasculares · ESUniversity of Girona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study sought to determine the usefulness of genetic testing to predict evolution in hypertrophic cardiomyopathy (HCM) and to assess the role of genetic testing in clinical practice. Genetic results of 100 HCM patients tested for mutations in ≥10 HCM-causing genes were evaluated. Patients were classified as with poor (group A) or favourable (group B) clinical course. Forty-five pathogenic mutations (PM) were identified in 28 patients (56 %) from group A and in 23 (46 %) from group B (p = 0.317). Only 40 patients (40 %) exhibited PM that had been previously reported and only 15 (15 %) had PM reported in ≥10 individuals. PM associated with poor prognosis were identified in just five patients from group A (10 %). Genetic findings are not useful to predict prognosis in most HCM patients. By contrast, real-world data reinforce the usefulness of genetic testing to provide genetic counselling and to enable cascade genetic screening.

Indexed as

DNA Mutational AnalysisMutationAdultAgedCardiomyopathy, HypertrophicFemaleGenetic MarkersGenetic Predisposition to DiseaseHumansMaleMiddle AgedPhenotypePredictive Value of TestsPrognosisRetrospective StudiesRisk FactorsGenetic MarkersFamily screeningGeneticsHypertrophic cardiomyopathyMutationsPrognosis

Identifiers

PMID28138913
OpenAlexW2582284868

What OpenQuestion holds

Textmetadata
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.