Evidence map›Paper›PMID 37329981›Full record

ArticleThe Journal of pediatrics2023

Predictors of Human Milk Feeding and Direct Breastfeeding for Infants with Single Ventricle Congenital Heart Disease: Machine Learning Analysis of the National Pediatric Cardiology Quality Improvement Collaborative Registry.

Kristin M Elgersma, Julian Wolfson, Jayne A Fulkerson, Michael K Georgieff, Wendy S Looman, Diane L Spatz, Kavisha M Shah, Karen Uzark, Anne Chevalier McKechnie

Open access · greenAbstract read
In one paragraph

Article in The Journal of pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Factors Influencing Breastfeeding Outcomes Following Neonatal Hypoxic Ischaemic Encephalopathy: A Mixed Methods Systematic Review.Journal of human lactation : official journal of International Lactation Consultant Association · 2026
    Pooled it
  2. Guideline
  3. Article
  4. Article
  5. Human milk and breastfeeding at the first oral feed for infants with critical congenital heart disease: a multi-institutional study.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  6. Article
  7. Infants Sucking Pattern Identification Using Machine-Learned Computational Modeling.Journal of engineering and science in medical diagnostics and therapy · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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

9 authors at 3 institutions in 1 country.

Kristin M ElgersmaUniversity of Minnesota School of Nursing, Minneapolis, MN. Electronic address: elger005@umn.edu.
Julian WolfsonDivision of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN.
Jayne A FulkersonUniversity of Minnesota School of Nursing, Minneapolis, MN; Division of Epidemiology, University of Minnesota School of Public Health, Minneapolis, MN.
Michael K GeorgieffDepartment of Pediatrics, University of Minnesota Medical School, Minneapolis, MN; Division of Neonatology, M Health Fairview University of Minnesota Masonic Children's Hospital, Minneapolis, MN.
Wendy S LoomanUniversity of Minnesota School of Nursing, Minneapolis, MN.
Diane L SpatzUniversity of Pennsylvania School of Nursing, Philadephia, PA; Children's Hospital of Philadelphia, Philadephia, PA.
Kavisha M ShahDepartment of Pediatrics, University of Minnesota Medical School, Minneapolis, MN; Division of Pediatric Cardiology, M Health Fairview University of Minnesota Masonic Children's Hospital, Minneapolis, MN.
Karen UzarkDivision of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, MI; C. S. Mott Children's Hospital, Ann Arbor, MI.
Anne Chevalier McKechnieUniversity of Minnesota School of Nursing, Minneapolis, MN.
University of Minnesota · USChildren's Hospital of Philadelphia · USUniversity of Michigan · US

Funding

Human Milk and Direct Breastfeeding for Infants with Single Ventricle Congenital Heart Disease: An Analysis of Prevalence, Supportive and Limiting Factors, and Impact on Key OutcomesF31NR020577 · NINR · UNIVERSITY OF MINNESOTA · PI ELGERSMA, KRISTIN M · 2022 to 2022
$49k
NINR NIH HHS F31 NR020577
6 · The paper itself

Abstract

objectiveTo identify factors that support or limit human milk (HM) feeding and direct breastfeeding (BF) for infants with single ventricle congenital heart disease at neonatal stage 1 palliation (S1P) discharge and at stage 2 palliation (S2P) (∼4-6 months old). STUDY

designAnalysis of the National Pediatric Cardiology Quality Improvement Collaborative (NPC-QIC) registry (2016-2021; 67 sites). Primary outcomes were any HM, exclusive HM, and any direct BF at S1P discharge and at S2P. The main analysis involved multiple phases of elastic net logistic regression on imputed data to identify important predictors.

resultsFor 1944 infants, the strongest predictor domain areas included preoperative feeding, demographics/social determinants of health, feeding route, clinical course, and site. Significant findings included: preoperative BF was associated with any HM at S1P discharge (OR = 2.02, 95% CI = 1.74-3.44) and any BF at S2P (OR = 2.29, 95% CI = 1.38-3.80); private/self-insurance was associated with any HM at S1P discharge (OR = 1.91, 95% CI = 1.58-2.47); and Black/African-American infants had lower odds of any HM at S1P discharge (OR = 0.54, 95% CI = 0.38-0.65) and at S2P (0.57, 0.30-0.86). Adjusted odds of HM/BF practices varied among NPC-QIC sites.

conclusionsPreoperative feeding practices predict later HM and BF for infants with single ventricle congenital heart disease; therefore, family-centered interventions focused on HM/BF during the S1P preoperative time are needed. These interventions should include evidence-based strategies to address implicit bias and seek to minimize disparities related to social determinants of health. Future research is needed to identify supportive practices common to high-performing NPC-QIC sites.

Indexed as

CardiologyHeart Defects, CongenitalUniventricular HeartBreast FeedingChildFemaleHumansInfantInfant, NewbornMilk, HumanQuality ImprovementRegistriesbreast feedingcongenitalheart defectshumanhypoplastic left heart syndromemilknutrition

Identifiers

PMID37329981
PMCPMC10527750
OpenAlexW4380887827

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.