Evidence map›Paper›PMID 38499751›Full record

Observational studyJournal of perinatology : official journal of the California Perinatal Association2024

Genomic testing and molecular diagnosis among infants with congenital heart disease in the neonatal intensive care unit.

Erica E D'Souza, Tina O Findley, Rachel Hu, Zahra S H Khazal, Rachel Signorello, Camille Dash, Alissa M D'Gama, Henry A Feldman, Pankaj B Agrawal, Monica H Wojcik and 1 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of perinatology : official journal of the California Perinatal Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

11 authors at 2 institutions in 1 country.

Erica E D'Souza *Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.
Tina O Findley *Division of Neonatal-Perinatal Medicine, Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston and Children's Memorial Hermann Hospital, Houston, TX, 77030, USA.
Rachel Hu *Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.
Zahra S H KhazalDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.
Rachel SignorelloDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.
Camille DashDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.
Alissa M D'GamaDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.
Henry A FeldmanDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.ORCID 0000-0002-1748-0894
Pankaj B AgrawalDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.
Monica H WojcikDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA.ORCID 0000-0002-8162-5031
Sarah U MortonDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA, 02115, USA. sarah.morton@childrens.harvard.edu.ORCID 0000-0002-7816-2646
Boston Children's Hospital · USMemorial Hermann · US

Funding

The Burden of Genetic Disorders in Infant MortalityK23HD102589 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI WOJCIK, MONICA HSIUNG · 2020 to 2024
$840k
Integration of RNA and Genome Sequences to Identify Genetic Risk in Hypoplastic Left Heart SyndromeK08HL157653 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI Sarah Uhler Morton · 2022 to 2026
$840k
Computational Prioritization of Coding and Non-Coding Variants in Congenital Heart DiseaseR03HL150412 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI MORTON, SARAH, SEIDMAN, JONATHAN G · 2021 to 2022
$371k
NHLBI NIH HHS K08 HL157653NHLBI NIH HHS R03 HL150412NICHD NIH HHS K23 HD102589U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) K23HD102589U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K08HL157653
6 · The paper itself

Abstract

objectiveTo evaluate patterns of genetic testing among infants with CHD at a tertiary care center. STUDY

designWe conducted a retrospective observational cohort study of infants in the NICU with suspicion of a genetic disorder. 1075 of 7112 infants admitted to BCH had genetic evaluation including 329 with CHD and 746 without CHD. 284 of 525 infants with CHD admitted to CMHH had genetic evaluation. Patterns of testing and diagnoses were compared.

resultsThe rate of diagnosis after testing was similar for infants with or without CHD (38% [121/318] vs. 36% [246/676], p = 0.14). In a multiple logistic regression, atrioventricular septal defects were most high associated with genetic diagnosis (odds ratio 29.99, 95% confidence interval 2.69-334.12, p < 0.001).

conclusionsInfants with suspicion of a genetic disorder with CHD had similar rates of molecular diagnosis as those without CHD. These results support a role for genetic testing among NICU infants with CHD.

Indexed as

Genetic TestingHeart Defects, CongenitalIntensive Care Units, NeonatalFemaleHumansInfant, NewbornLogistic ModelsMaleRetrospective Studies

Identifiers

PMID38499751
PMCPMC11300151
OpenAlexW4392922153

What OpenQuestion holds

Textmetadata
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.