Evidence map›Paper›PMID 37957083›Full record

ArticleJournal of pediatric nursing

Sociodemographic profile associated with congenital heart disease among infants <1 year old.

Michelle Tran, Anna Miner, Carlin Merkel, Kenton Sakurai, Jessica Woon, John Ayala, Jennifer Nguyen, Jeraldine Lopez, Philippe Friedlich, Jodie K Votava-Smith and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of pediatric nursing. 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
1.5field-weighted citation impact, top 16% 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, 7 citations in OpenAlex.

  1. Article
  2. Prediction of Cyanotic Congenital Heart Disease Risk in U.S. Births.Journal of cardiovascular development and disease · 2026
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 2 countries.

Michelle TranDepartment of Population and Public Health Sciences, Keck School of Medicine of University of Southern California (KSOM USC) and Division of Research on Children, Youth, and Families, The Saban Research Institute, Children's Hospital Los Angeles (CHLA), Los Angeles, CA, United States of America. Electronic address: mtran405@usc.edu.
Anna MinerDepartment of Population and Public Health Sciences, Keck School of Medicine of University of Southern California (KSOM USC) and Division of Research on Children, Youth, and Families, The Saban Research Institute, Children's Hospital Los Angeles (CHLA), Los Angeles, CA, United States of America.
Carlin MerkelDepartment of Medicine, KSOM USC and Division of Research on Children, Youth, and Families, The Saban Research Institute, CHLA, Los Angeles, CA, United States of America.
Kenton SakuraiDepartment of Medicine, KSOM USC and Division of Research on Children, Youth, and Families, The Saban Research Institute, CHLA, Los Angeles, CA, United States of America.
Jessica WoonDepartment of Biological Sciences, USC Dornsife College of Letters, Arts, and Sciences and Division of Research on Children, Youth, and Families, The Saban Research Institute, CHLA, Los Angeles, CA, United States of America.
John AyalaCardiac Registry Support, St. Cloud, MN, United States of America.
Jennifer NguyenDepartment of Health and Human Sciences, USC Dornsife College of Letters, Arts, and Sciences and Division of Research on Children, Youth, and Families, The Saban Research Institute, CHLA, Los Angeles, CA, United States of America.
Jeraldine LopezDivision of Research on Children, Youth, and Families, The Saban Research Institute, CHLA, Los Angeles, CA, United States of America.
Philippe FriedlichFetal and Neonatal Institute, Division of Neonatology, CHLA, and Department of Pediatrics, KSOM USC, Los Angeles, CA, United States of America.
Jodie K Votava-SmithDivision of Cardiology, CHLA and KSOM USC, Los Angeles, CA, United States of America.
Nhu N TranDivision of Neonatology, CHLA, and KSOM USC, Los Angeles, CA, United States of America.
Families USA · USAPLA Health · USChildren's Hospital of Los Angeles · USAdministration for Children and Families · USChildren Youth and Family Collaborative · USFetal Medicine Foundation · GBSt. Cloud Hospital · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Longitudinal Assessment of Cerebrovascular Autoregulation (CA) and Associations to Neurodevelopmental Delays in Infants and Toddlers with and without Congenital Heart Disease (CHD)K23NR019121 · NINR · CHILDREN'S HOSPITAL OF LOS ANGELES · PI TRAN, NHU · 2021 to 2023
$497k
NCATS NIH HHS UL1 TR001855NINR NIH HHS K23 NR019121
6 · The paper itself

Abstract

purposeCongenital heart disease affects thousands of newborns each year in the United States. Previous United States-based research has explored how sociodemographic factors may impact health outcomes in infants with congenital heart disease; however, their impact on the incidence of congenital heart disease is unclear. We explored the sociodemographic profile related to congenital heart disease to help address health disparities that arise from race and social determinants of health. Defining the sociodemographic factors associated with congenital heart disease will encourage implementation of potential preventative measures. DESIGN AND

methodsWe conducted a secondary analysis of longitudinally collected data comparing 39 infants with congenital heart disease and 30 healthy controls. We used a questionnaire to collect sociodemographic data. Pearson's chi-square test/Fisher's exact tests analyzed the associations among different sociodemographic factors between infants with congenital heart disease and healthy controls.

resultsWe found a statistically significant difference in maternal education between our 2 groups of infants (p = 0.004).

conclusionMaternal education was associated with congenital heart disease. Future studies are needed to further characterize sociodemographic factors that may predict and impact the incidence of congenital heart disease and to determine possible interventions that may help decrease health disparities regarding the incidence of congenital heart disease. PRACTICE IMPLICATIONS: Understanding the associations between maternal sociodemographic factors and infant congenital heart disease would allow clinicians to identify mothers at higher risk of having an infant with congenital heart disease.

Indexed as

Heart Defects, CongenitalEducational StatusFemaleHumansIncidenceInfantInfant, NewbornMothersSurveys and QuestionnairesUnited StatesCongenital heart defectsInfantsMaternal educationSocial determinants of healthSociodemographic

Identifiers

PMID37957083
PMCPMC10841755
OpenAlexW4388590572

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.