Evidence map›Paper›PMID 40471398›Full record

ArticleJournal of autism and developmental disorders2025

Positive Autism Screening in Children Born Preterm.

Nuria Lisset Ontiveros Perez, Pamela M Rios, Stella Firth Wang, Virginia A Marchman, Ramkumar Aishworiya, Heidi M Feldman

Abstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nuria Lisset Ontiveros PerezDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID http://orcid.org/0009-0007-0211-2830
Pamela M RiosDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Stella Firth WangCardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Virginia A MarchmanDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Ramkumar AishworiyaDepartment of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Heidi M FeldmanDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA. hfeldman@stanford.edu.ORCID http://orcid.org/0000-0002-4435-0913

Funding

Predicting language processing efficiency in preterm children: Social-environmental and neuro-biological factorsR01HD069150 · NICHD · STANFORD UNIVERSITY · PI FELDMAN, HEIDI M. · 2011 to 2024
$5.8M
Eunice Kennedy Shriver National Institute of Child Health and Human Development 2RO1-HD069150Medical Research Council MOH-001579NICHD NIH HHS R01 HD069150
6 · The paper itself

Abstract

purposeAutism is more common among children born preterm than children born at term. This study determined the prevalence of positive autism screening among children born preterm and evaluated sociodemographic, clinical, and neurodevelopmental factors associated with positive screens.

methodsSecondary analyses of data from Lucile Packard Children's Hospital High Risk Infant Follow-up clinic. Infants born < 32 weeks gestation between 2016 and 2020, who attended the clinic at 18-30 months, were classified into two groups based on results of Modified Checklist for Autism in Toddlers-Revised with Follow-Up (M-CHAT-R/F): positive-screen (score > 2) and negative-screen (≤ 2). We compared sociodemographics, clinical factors, and language development across groups.

resultsThe prevalence of positive screens was 12.2%. Children in the positive-screen group had lower gestational age, birthweight, and longer hospital stays than children in the negative-screen group (all p <.05). However, in multivariate analysis, gestational age was the only factor significantly associated with positive screens (p =.04). We found no group differences in sociodemographics or medical complications. The positive-screen group had lower mean language scores than the negative-screen group (p <.001). However, 36.6% of children in the negative-screen group also had a language developmental quotient ≤ 85.

conclusionThe high prevalence of positive screens reinforces the importance of early screening for autism in preterm children. Gestational age at birth was the primary factor associated with positive screens. Language difficulties were not specific to children with positive screens, highlighting the need for autism screening and routine developmental assessments for preterm children.

Indexed as

AutismAutism riskLanguageM-CHAT-R/FPretermPublic health

Identifiers

PMID40471398
PMCPMC13464443

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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.