Evidence map›Paper›PMID 34776723›Full record

ArticleProgress in pediatric cardiology2021

The clinical utility of pediatric cardiomyopathy genetic testing: From diagnosis to a precision medicine-based approach to care.

Lauren E Parker, Andrew P Landstrom

Open access · greenAbstract read
In one paragraph

Article in Progress in pediatric cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 13% 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, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Novel Mutation Lys30Glu in theInternational journal of molecular sciences · 2024
    Article
  4. Review
  5. Article
  6. Circulation. Genomic and precision medicine · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Sudden Cardiac Arrest in the Paediatric Population.CJC pediatric and congenital heart disease · 2022
    Review
  11. Article
  12. 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

2 authors at 1 institution in 1 country.

Lauren E ParkerDepartment of Pediatrics, Division of Cardiology, Duke University School of Medicine, Durham, NC, United States.
Andrew P LandstromDepartment of Pediatrics, Division of Cardiology, Duke University School of Medicine, Durham, NC, United States.
Duke University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
The Role of PRDM16 in Cardiac Development and CardiomyopathyR01HL149870 · NHLBI · UNIVERSITY OF UTAH · PI BOUDINA, SIHEM · 2020 to 2023
$2.8M
The Role of Junctophilin Type 2 in Cardiac Node AutomaticityK08HL136839 · NHLBI · DUKE UNIVERSITY · PI LANDSTROM, ANDREW P. · 2017 to 2021
$769k
Doris Duke Charitable Foundation 2020098NHLBI NIH HHS K08 HL136839NHLBI NIH HHS R01 HL149870NIGMS NIH HHS T32 GM007171NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

backgroundPediatric-onset cardiomyopathies are rare yet cause significant morbidity and mortality in affected children. Genetic testing has a major role in the clinical evaluation of pediatric-onset cardiomyopathies, and identification of a variant in an associated gene can be used to confirm the clinical diagnosis and exclude syndromic causes that may warrant different treatment strategies. Further, risk-predictive testing of first-degree relatives can assess who is at-risk of disease and requires continued clinical follow-up. AIM OF REVIEW: In this review, we seek to describe the current role of genetic testing in the clinical diagnosis and management of patients and families with the five major cardiomyopathies. Further, we highlight the ongoing development of precision-based approaches to diagnosis, prognosis, and treatment. KEY SCIENTIFIC CONCEPTS OF REVIEW: Emerging application of genotype-phenotype correlations opens the door for genetics to guide a precision medicine-based approach to prognosis and potentially for therapies. Despite advances in our understanding of the genetic etiology of cardiomyopathy and increased accessibility of clinical genetic testing, not all pediatric cardiomyopathy patients have a clear genetic explanation for their disease. Expanded genomic studies are needed to understand the cause of disease in these patients, improve variant classification and genotype-driven prognostic predictions, and ultimately develop truly disease preventing treatment.

Indexed as

arrhythmogenic cardiomyopathydilated cardiomyopathyhypertrophic cardiomyopathynon-compaction cardiomyopathypediatric cardiomyopathyrestrictive cardiomyopathy

Identifiers

PMID34776723
PMCPMC8579834
OpenAlexW3178418973

What OpenQuestion holds

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LicenceTDM
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.