Evidence map›Paper›PMID 34838692›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2022

Progress and Disparities in Early Identification of Autism Spectrum Disorder: Autism and Developmental Disabilities Monitoring Network, 2002-2016.

Kelly A Shaw, Dedria McArthur, Michelle M Hughes, Amanda V Bakian, Li-Ching Lee, Sydney Pettygrove, Matthew J Maenner

Abstract read
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. What Happens After Autism Screening-Factors That Predict Evaluation Attendance.Journal of autism and developmental disorders · 2025
    Article
  11. Review
  12. Introduction to the Forum: Intersectional Approaches to Language in Autism.Perspectives of the ASHA special interest groups · 2025
    Article
  13. Article
  14. Article
  15. Demographic Correlates of Autism: How Do Associations Compare Between Diagnosis and a Quantitative Trait Measure?Autism research : official journal of the International Society for Autism Research · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kelly A ShawNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia. Electronic address: nrb7@cdc.gov.
Dedria McArthurNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia.
Michelle M HughesNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia.
Amanda V BakianUniversity of Utah, Salt Lake City.
Li-Ching LeeJohns Hopkins University, Baltimore, Maryland.
Sydney PettygroveUniversity of Arizona, Tucson.
Matthew J MaennerNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveEarly identification can improve outcomes for children with autism spectrum disorder (ASD). We sought to assess changes in early ASD identification over time and by co-occurring intellectual disability (ID) and race/ethnicity.

methodUsing data for 2002-2016 from a biennial population-based ASD surveillance program among 8-year-old children in the United States, we defined identification as a child's earliest recorded ASD diagnosis or special education eligibility. Unidentified children had characteristics meeting the ASD surveillance case definition but no recorded identification by age 8 years. We calculated median age at identification among identified children, median age at identification including unidentified children, and cumulative incidence of identification by age 48 months.

resultsASD identification by age 48 months was 4 times (95% CI: 3.6-4.3) as likely in 2016 as in 2002, with the largest increases among children without ID. Median age at ASD identification among identified children decreased 3 months during this time. Children of every race/ethnicity were more likely to be identified over time. There were racial disparities stratified by ID: in 2016, Black and Hispanic children without ID were less likely to be identified with ASD than were White children (both groups risk ratio: 0.7; 95% CI: 0.5-0.8), but Black children were 1.5 times (95% CI: 1.3-1.9) as likely as White children to be identified with ASD and ID.

conclusionSubstantial progress has been made to identify more children with ASD early, despite minimal decrease in median age at diagnosis. Considerable disparities remain in early ASD identification by race/ethnicity and co-occurring intellectual disability.

Indexed as

Autism Spectrum DisorderAutistic DisorderIntellectual DisabilityChildChild, PreschoolDevelopmental DisabilitiesHumansPrevalenceUnited Statesautism spectrum disorderepidemiologyhealth status disparitiesintellectual disability

Identifiers

PMID34838692
PMCPMC9353949

What OpenQuestion holds

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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.