Evidence map›Paper›PMID 39672373›Full record

ArticleThe Journal of pediatrics2025

High-Risk Infant Developmental Outcome Is Associated with Medical Complexity and Neighborhood Opportunity.

Emily N Yeo, Nathan D Young, Joseph C Cleveland, Tamara D Simon, Douglas L Vanderbilt, Juan Espinoza, Christine B Mirzaian, Tanya L Alderete

Abstract read
In one paragraph

Article in The Journal of pediatrics, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Emily N YeoDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO.
Nathan D YoungDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Joseph C ClevelandUniversity of Colorado Anschutz Medical Campus, Aurora, CO.
Tamara D SimonDepartment of Pediatrics, Keck School of Medicine of USC, Los Angeles, CA; Division of Hospital Medicine, Children's Hospital Los Angeles, Los Angeles, CA.
Douglas L VanderbiltDepartment of Pediatrics, Keck School of Medicine of USC, Los Angeles, CA; Division of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA.
Juan EspinozaStanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL; Northwestern University Feinberg School of Medicine, Chicago, IL.
Christine B MirzaianDepartment of Pediatrics, Keck School of Medicine of USC, Los Angeles, CA; Division of General Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA. Electronic address: cmirzaian@chla.usc.edu.
Tanya L AldereteDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

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
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
Southern California Center for Chronic Health Disparities in Latino Children and Families.P50MD017344 · NIMHD · CHILDREN'S HOSPITAL OF LOS ANGELES · PI COHEN, DEBORAH A · 2021 to 2025
$27.8M
Pre- and Postnatal Exposure to Air Pollutants and the Gut Microbiome: Implications for Brain Development in Early and Mid-ChildhoodR01ES035056 · NIEHS · UNIVERSITY OF COLORADO · PI Tanya Lynn Alderete, BRADLEY S PETERSON · 2024 to 2026
$2.1M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855NIEHS NIH HHS R01 ES035056NIMHD NIH HHS P50 MD017344
6 · The paper itself

Abstract

objectiveTo assess how medical complexity and neighborhood opportunity jointly affect cognitive, motor, and language Bayley Scales of Infant Development. Secondary objectives involved identifying the factors contributing to developmental disparities across diverse racial and ethnic groups. STUDY

designElectronic health records from a Southern California high-risk infant follow-up clinic were analyzed for 440 infants from 2014 through 2023 who had either had neonatal intensive care unit stays, prematurity, very low birth weight, or developmental delay risk. Medical complexity was categorized using the Pediatric Medical Complexity Algorithm into complex chronic (CC), noncomplex chronic, or nonchronic (NC). Neighborhood opportunity was assessed using the Child Opportunity Index 2.0. Developmental progress was tracked from ages 4 to 35.6 months.

resultsOf the cohort, 56% were male, and 67% were born prematurely, with 143 NC, 115 noncomplex chronic, and 182 CC cases. Developmental scores showed a progressive decline with increased medical complexity. Infants who were CC had lower cognitive (β = -15.20, P < .001, 95% CI -18.75, -11.7), motor (β = -20.50, P < .001, 95% CI -24.25, -16.8), and language scores (β = -11.88, P < .001, 95% CI = -15.13 to -8.6) compared with infants who were NC. Lower Child Opportunity Index score was linked with decreased language scores (β = -0.07, P = .005, 95% CI 0.01-0.12) but not cognitive or motor scores.

conclusionsIn high-risk infants, the adverse effects of medical complexities on developmental outcomes exceeded those of prematurity and additionally varied according to child neighborhood opportunity.

Indexed as

Child DevelopmentDevelopmental DisabilitiesNeighborhood CharacteristicsCaliforniaChild, PreschoolFemaleHumansInfantInfant, NewbornInfant, PrematureInfant, Very Low Birth WeightMaleRisk FactorsChild Opportunity Index 2.0health disparitieshigh-risk infantsinfant developmentPediatric Medical Complexity Algorithmprematurity

Identifiers

PMID39672373
PMCPMC11903178

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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.