Evidence map›Paper›PMID 40237135›Full record

ArticleAutism research : official journal of the International Society for Autism Research2025

Missed Early Intervention Opportunities for Children With Autism Spectrum Disorder.

Daniel E Lidstone

Abstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

1 author.

Daniel E LidstoneSchool of Behavioral Sciences and Education, Penn State Harrisburg, Middletown, Pennsylvania, USA.ORCID 0000-0002-5545-3790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early intervention (EI) is essential for improving developmental outcomes in children with autism spectrum disorder (ASD). However, participation during the critical neurodevelopmental (0-3 years) period remains a challenge. To identify those factors associated with the participation of preschool children with ASD in EI before age 2, this study uses recent cross-sectional data from the 2021 to 2023 National Survey of Children's Health (NSCH). Binary logistical regression analysis was conducted to identify factors associated with EI receipt before age 2, including age of ASD diagnosis, socioeconomic status (SES), race, ASD severity, biological sex, birth weight, and diagnosis of early indicators of future developmental delay (DD). The findings revealed that only 15% of preschool children with ASD received EI before age 2. Significant predictors of timely participation in Part C EI included an ASD diagnosis before age 2, higher SES, and lower birth weight. Findings also revealed that 15.5% of children who did not receive timely EI had severe ASD symptoms, highlighting the critical need to improve EI participation for these children. Potential solutions discussed include expanding the definition of DD, increasing the number of states recognizing low birth weight as a Part C EI diagnosis, reducing barriers to Part C EI participation for disadvantaged families, and developing more effective tools to detect ASD and DD earlier in development.

Indexed as

Autism Spectrum DisorderEarly Intervention, EducationalChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleUnited Statesautism spectrum disorder (ASD)early intervention programshealth equityIndividuals with Disabilities Education Act (IDEA)public health policysocioeconomic disparities

Identifiers

PMID40237135
PMCPMC12123171

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.