Evidence map›Paper›PMID 40225148›Full record

ArticleHuman mutation2023

Evaluating the Utility of a New Pathogenicity Predictor for Pediatric Cardiomyopathy.

Alyssa L Rippert, Sarah Trackman, Danielle Burstein, J William Gaynor, Heather Griffis, Christine Seymour, Rebecca Ahrens-Nicklas

Abstract read
In one paragraph

Article in Human mutation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Alyssa L RippertDivision of Human Genetics, Children's Hospital of Philadelphia, Pennsylvania, USA.ORCID 0000-0003-4735-5223
Sarah TrackmanRutgers, The State University of New Jersey, New Brunswick, NJ, USA.
Danielle BursteinDivision of Pediatric Cardiology, University of Vermont Medical Center, Burlington, VT, USA.
J William GaynorDivision of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0001-7955-5604
Heather GriffisDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Pennsylvania, USA.
Christine SeymourRutgers, The State University of New Jersey, New Brunswick, NJ, USA.
Rebecca Ahrens-NicklasDivision of Human Genetics, Children's Hospital of Philadelphia, Pennsylvania, USA.ORCID 0000-0001-8243-7123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric cardiomyopathy (CM) has significant childhood morbidity and mortality which is caused by both genetic and environmental factors. Previous research has focused on identifying genetic variants in pediatric CM for diagnostic purposes, but not for risk stratification. The current study was modeled after previous work which showed an association between CardioBoost-classified disease-causing variants and an increased risk for severe clinical outcomes in adults with CM to assess if the same association is true in pediatric CM. This was a retrospective, single-center cohort study that evaluated outcomes in pediatric CM patients who were evaluated by the Children's Hospital of Philadelphia (CHOP). CardioBoost (CB) scores were generated for these patients, and scores were categorized as ≤0.1, 0.1-0.9, and ≥0.9. Composite endpoint was freedom from a major adverse cardiac event (MACE). 104 patients were included in the final analysis. 32 (31%) had DCM, 45 (43%) had HCM, and 27 (26%) had other CM. There was no significant association between CB score and clinical outcome in pediatric CM patients. Overall, this study highlights the continued deficits in variant interpretation for pediatric CM. We recommend using caution when applying this tool to stratify clinical outcomes in the pediatric population.

Indexed as

CardiomyopathiesGenetic Predisposition to DiseaseAdolescentChildChild, PreschoolFemaleHumansInfantMalePrognosisRetrospective Studies

Identifiers

PMID40225148
PMCPMC11919062

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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.