Evidence map›Paper›PMID 36798365›Full record

ArticleResearch square2023

Sociodemographic Profile Associated with Congenital Heart Disease among Infants Less than 1 Year Old.

Michelle Tran, Anna Miner, Carlin Merkel, Kenton Sakurai, Jessica Woon, John Ayala, Jennifer Nguyen, Jeraldine Lopez, Jodie K Votava-Smith, Nhu N Tran

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In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Michelle TranUniversity of Southern California/Children's Hospital of Los Angeles.
Anna MinerUniversity of Southern California/Children's Hospital of Los Angeles.
Carlin MerkelUniversity of Southern California/Children's Hospital of Los Angeles.
Kenton SakuraiUniversity of Southern California/Children's Hospital of Los Angeles.
Jessica WoonUniversity of Southern California/Children's Hospital of Los Angeles.
John AyalaCardiac Registry Support.
Jennifer NguyenUniversity of Southern California/Children's Hospital of Los Angeles.
Jeraldine LopezChildren's Hospital of Los Angeles.
Jodie K Votava-SmithUniversity of Southern California/Children's Hospital of Los Angeles.
Nhu N TranUniversity of Southern California/Children's Hospital of Los Angeles.

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

Background: Congenital heart disease (CHD) affects thousands of newborns each year in the United States (US). Infants born with CHD have an increased risk of adverse health outcomes compared to healthy infants. These outcomes include, but are not limited to, neurodevelopmental, surgical, and mortality-related outcomes. Previous US-based research has explored how sociodemographic factors may impact these health outcomes in infants with CHD; however, their impact on the risk of CHD is unclear. This study aims to explore the sociodemographic profile related to CHD to help address health disparities that arise from race and social determinants of health. Defining the sociodemographic factors associated with CHD will encourage policy change and the implementation of preventative measures. Methods: This study is a secondary analysis of longitudinally collected data. We compared infants with CHD and 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 CHD and healthy controls. Results: We obtained sociodemographic factors from 30 healthy control infants and 39 infants with CHD. We found a statistically significant difference in maternal education between our 2 groups of infants (p=0.004). Conclusion: Maternal education is associated with CHD. Future studies are needed to further characterize sociodemographic factors that may predict and impact the risk of CHD and to determine possible interventions that may help decrease health disparities regarding the risk of CHD.

Indexed as

congenital heart defectsinfantsmaternal educationsocial determinants of healthsociodemographic

Identifiers

PMID36798365
PMCPMC9934769

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Registered trials

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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.