Evidence map›Paper›PMID 31868321›Full record

ArticleAutism research : official journal of the International Society for Autism Research2020

Disparities in Documented Diagnoses of Autism Spectrum Disorder Based on Demographic, Individual, and Service Factors.

Lisa D Wiggins, Maureen Durkin, Amy Esler, Li-Ching Lee, Walter Zahorodny, Catherine Rice, Marshalyn Yeargin-Allsopp, Nicole F Dowling, Jennifer Hall-Lande, Michael J Morrier and 3 more

Registry-linked trialOpen access · greenAbstract readMulticenter Study
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04935593 (Strengthening Social, Emotional and Behavioral Resilience), which is not on this map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% of its field
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.

NCT04935593 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Strengthening Social, Emotional and Behavioral Resilience: The RENEW (Resilience in Emotional and Behavioral Wellbeing) Pilot Randomized Controlled Trial

TypeinterventionalSponsorTaipei Medical UniversityRan2021 to 2022Enrolled60ConditionsNeurodevelopmental Disorders, Emotional Disorder, Behavior DisordersArmsThe RENEW Intervention
3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.

  1. Building Capacity: A Systematic Review of Training in the Diagnosis of Autism for Community-Based Clinicians.Autism research : official journal of the International Society for Autism Research · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Fragile X Syndrome in Adulthood: A Study of Electronic Health Records.American journal on intellectual and developmental disabilities · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. What Happens After Autism Screening-Factors That Predict Evaluation Attendance.Journal of autism and developmental disorders · 2025
    Article
  15. Internet Guidance on Feeding for Parents of Children With Autism.Journal of autism and developmental disorders · 2025
    Article
  16. Article
  17. Article
  18. Exploring Factors of Diagnostic Timing Among Black Autistic Youth.Journal of autism and developmental disorders · 2025
    Article
  19. Article
  20. Article

10 more citing papers are in PubMed but not listed here.

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

13 authors at 6 institutions in 1 country.

Lisa D WigginsNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0001-9283-7294
Maureen DurkinDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Amy EslerDepartment of Pediatrics, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0001-7087-1432
Li-Ching LeeDepartment of Epidemiology, Bloomberg School of Public Health, John Hopkins University, Baltimore, Maryland.
Walter ZahorodnyDepartment of Pediatrics, Rutgers New Jersey Medical School, Newark, New Jersey.
Catherine RiceDepartment of Psychiatry, Early Emory Center for Child Development and Enrichment, Emory University, Atlanta, Georgia.
Marshalyn Yeargin-AllsoppNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia.
Nicole F DowlingNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia.
Jennifer Hall-LandeInstitute on Community Integration, University of Minnesota, Minneapolis, Minnesota.
Michael J MorrierDepartment of Psychiatry, Early Emory Center for Child Development and Enrichment, Emory University, Atlanta, Georgia.ORCID 0000-0002-9219-437X
Deborah ChristensenNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia.
Josephine ShenoudaDepartment of Pediatrics, Rutgers New Jersey Medical School, Newark, New Jersey.
Jon BaioNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia.
Centers for Disease Control and Prevention · USEmory University · USRutgers, The State University of New Jersey · USUniversity of Minnesota · USJohns Hopkins University · USUniversity of Wisconsin–Madison · US

Funding

CDC HHSIntramural CDC HHS CC999999
6 · The paper itself

Abstract

The objectives of our study were to (a) report how many children met an autism spectrum disorder (ASD) surveillance definition but had no clinical diagnosis of ASD in health or education records and (b) evaluate differences in demographic, individual, and service factors between children with and without a documented ASD diagnosis. ASD surveillance was conducted in selected areas of Arizona, Arkansas, Colorado, Georgia, Maryland, Minnesota, Missouri, New Jersey, North Carolina, Tennessee, and Wisconsin. Children were defined as having ASD if sufficient social and behavioral deficits and/or an ASD diagnosis were noted in health and/or education records. Among 4,498 children, 1,135 (25%) had ASD indicators without having an ASD diagnosis. Of those 1,135 children without a documented ASD diagnosis, 628 (55%) were not known to receive ASD services in public school. Factors associated with not having a clinical diagnosis of ASD were non-White race, no intellectual disability, older age at first developmental concern, older age at first developmental evaluation, special education eligibility other than ASD, and need for fewer supports. These results highlight the importance of reducing disparities in the diagnosis of children with ASD characteristics so that appropriate interventions can be promoted across communities. Autism Res 2020, 13: 464-473. © 2019 International Society for AutismResearch,Wiley Periodicals, Inc. LAY SUMMARY: Children who did not have a clinical diagnosis of autism spectrum disorder (ASD) documented in health or education records were more likely to be non-White and have fewer developmental problems than children with a clinical diagnosis of ASD. They were brought to the attention of healthcare providers at older ages and needed fewer supports than children with a clinical diagnosis of ASD. All children with ASD symptoms who meet diagnostic criteria should be given a clinical diagnosis so they can receive treatment specific to their needs.

Indexed as

Autism Spectrum DisorderChildFemaleHealth Services AccessibilityHumansMalePopulation SurveillancePrevalenceRacial GroupsSocioeconomic FactorsUnited Statesautismdiagnosisdisparitiessurveillance

Identifiers

PMID31868321
PMCPMC7521364
OpenAlexW2995074616

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.