Evidence map›Paper›PMID 42382645›Full record

ArticleFrontiers in pediatrics2026

Autism screening and diagnosis in children with congenital heart disease.

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Nuria Lisset Ontiveros Perez *Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, United States.
Pamela M Rios *Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, United States.
Virginia A MarchmanDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, United States.
Ramkumar AishworiyaChild Development Unit (CDU), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, Singapore.
Stella Firth WangUniversity of Washington, Seattle, WA, United States.
Heidi M FeldmanDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, United States.

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
NICHD NIH HHS R01 HD069150
6 · The paper itself

Abstract

Aim: This study determined the prevalence of positive autism screening results at 18-30 months of age and the presence of an autism diagnosis among children with congenital heart disease (CHD). Methods: Secondary analysis of data from Stanford site of California Perinatal Quality Care Collaborative and Lucile Packard Children's Hospital electronic health records. Participants ( Results: Prevalence of positive autism screens was 14.6% and autism diagnosis was 11.7%. The factor associated with screen results was age; children with positive screens were younger than children with negative screens. Use of public insurance and Risk Stratification for Congenital Heart Surgery-2 scores were higher in children with autism. Performance of M-CHAT-R/F in relation to autism diagnosis showed sensitivity of 66%, positive predictive value of 57%, and higher specificity and negative predictive values. Conclusion: In this sample, children with CHD were >3 times more likely to have positive autism screens and the diagnosis of autism than children in the general population. Early screening for autism is critical in children with CHD to promote early diagnosis and intervention.

Indexed as

autismautism riskcongenital heart diseaseM-CHAT-R/Fpublic health

Identifiers

PMID42382645
PMCPMC13314728

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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.