Evidence map›Paper›PMID 38674439›Full record

ArticleGenes2024

Clinical Decision Analysis of Genetic Evaluation and Testing in 1013 Intensive Care Unit Infants with Congenital Heart Defects Supports Universal Genetic Testing.

Benjamin M Helm, Stephanie M Ware

Open access · goldAbstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  6. Development of the PICCOTEAM Reference Case for Economic Evaluation of Precision Medicine.International journal of health policy and management · 2025
    Article
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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

2 authors at 1 institution in 1 country.

Benjamin M HelmDepartment of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-5597-0202
Stephanie M WareDepartment of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Indiana University School of Medicine

Funding

Transcriptional regulation of cardiac morphogenesisP01HL134599 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI Anthony B. Firulli · 2017 to 2026
$25.7M
American Heart Association-American Stroke AssociationNHLBI NIH HHS P01 HL134599NIH HHS P01HL1345599
6 · The paper itself

Abstract

Extracardiac anomalies (ECAs) are strong predictors of genetic disorders in infants with congenital heart disease (CHD), but there are no prior studies assessing performance of ECA status as a screen for genetic diagnoses in CHD patients. This retrospective cohort study assessed this in our comprehensive inpatient CHD genetics service focusing on neonates and infants admitted to the intensive care unit (ICU). The performance and diagnostic utility of using ECA status to screen for genetic disorders was assessed using decision curve analysis, a statistical tool to assess clinical utility, determining the threshold of phenotypic screening by ECA versus a Test-All approach. Over 24% of infants had genetic diagnoses identified (n = 244/1013), and ECA-positive status indicated a 4-fold increased risk of having a genetic disorder. However, ECA status had low-moderate screening performance based on predictive summary index, a compositive measure of positive and negative predictive values. For those with genetic diagnoses, nearly one-third (32%, 78/244) were ECA-negative but had cytogenetic and/or monogenic disorders identified by genetic testing. Thus, if the presence of multiple congenital anomalies is the phenotypic driver to initiate genetic testing, 13.4% (78/580) of infants with isolated CHD with identifiable genetic causes will be missed. Given the prevalence of genetic disorders and limited screening performance of ECA status, this analysis supports genetic testing in all CHD infants in intensive care settings rather than screening based on ECA.

Indexed as

Genetic TestingHeart Defects, CongenitalClinical Decision-MakingFemaleHumansInfantInfant, NewbornIntensive Care UnitsMaleRetrospective Studiesclinical utilitydecision curve analysisinpatient cardiovascular geneticsscreening performance

Identifiers

PMID38674439
PMCPMC11050575
OpenAlexW4394918125

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.