Evidence map›Paper›PMID 38562732›Full record

ArticleResearch square2024

Rapid Genome Sequencing Shows Diagnostic Utility In Infants With Congenital Heart Defects.

Matthew D Durbin, Lindsey R Helvaty, Alyx Posorske, Samuel Zhang, Manyan Huang, Ming Li, Daniel Abreu, Korre Fairman, Gabrielle C Geddes, Benjamin M Helm and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2024. 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, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Matthew D DurbinIndiana University School of Medicine, Indianapolis, IN.
Lindsey R HelvatyIndiana University School of Medicine, Indianapolis, IN.
Alyx PosorskeIndiana University School of Medicine, Indianapolis, IN.
Samuel ZhangIndiana University School of Medicine, Indianapolis, IN.
Manyan HuangIndiana University Bloomington School of Public Health, Bloomington, IN.
Ming LiIndiana University Bloomington School of Public Health, Bloomington, IN.
Daniel AbreuIndiana University School of Medicine, Indianapolis, IN.
Korre FairmanWashington University, St. Louis, MO.
Gabrielle C GeddesIndiana University School of Medicine, Indianapolis, IN.
Benjamin M HelmIndiana University School of Medicine, Indianapolis, IN.
Benjamin J LandisIndiana University School of Medicine, Indianapolis, IN.
Alexis McEntireIndiana University School of Medicine, Indianapolis, IN.
Dana K MitchellIndiana University School of Medicine, Indianapolis, IN.
Stephanie M WareIndiana University School of Medicine, Indianapolis, IN.
Indiana University Bloomington · USUniversity School · US

Funding

Transcriptional regulation of cardiac morphogenesisP01HL134599 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI Stephanie M Ware · 2017 to 2026
$25.7M
"SHROOM3 is a Novel Cause of Congenital Heart Disease"K08HL148508 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI DURBIN, MATTHEW D. · 2020 to 2024
$776k
NHLBI NIH HHS K08 HL148508NHLBI NIH HHS P01 HL134599
6 · The paper itself

Abstract

Congenital heart disease (CHD) is the most common birth defect and a leading cause of infant mortality. CHD often has a genetic etiology and recent studies demonstrate utility in genetic testing. In clinical practice, decisions around genetic testing choices continue to evolve, and the incorporation of rapid genome sequencing (rGS) in CHD has not been well studied. Though smaller studies demonstrate the value of rGS, they also highlight the burden of results interpretation. We analyze genetic testing in CHD at two time-points, in 2018 and 2022-2023, across a change in clinical testing guidelines from chromosome microarray (CMA) to rGS. Analysis of 421 hospitalized infants with CHD demonstrated consistent genetic testing across time. Overall, after incorporation of rGS in 2022-2023, the diagnostic yield was 6.8% higher compared to 2018, and this pattern was consistent across all patient subtypes analyzed. In 2018, CMA was the most common test performed, with diagnostic results for CHD in 14.3%, while in 2022-2023, rGS was the most frequent test performed, with results diagnostic for CHD in 16.9%. Additionally, rGS identified 44% more unique genetic diagnoses than CMA. This is the largest study to highlight the value of rGS in CHD and has important implications for management.

Identifiers

PMID38562732
PMCPMC10984023
OpenAlexW4393010158

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.