Evidence map›Paper›PMID 30973853›Full record

ArticleMorbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002)2019

Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Seven Sites, United States, 2010, 2012, and 2014.

Deborah L Christensen, Matthew J Maenner, Deborah Bilder, John N Constantino, Julie Daniels, Maureen S Durkin, Robert T Fitzgerald, Margaret Kurzius-Spencer, Sydney D Pettygrove, Cordelia Robinson and 5 more

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04569058 (Transcranial Photobiomodulation Therapy for the Treatment of Autistic Traits in Children and Adolescents With Attention Deficit Hyperactivity Disorder), which is not on this map. Cited by 106 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 12 pooled it
26.7field-weighted citation impact, top 1% 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.

NCT04569058 nacompletednot on this mapstarted 2021, after this paper: background citation

Transcranial Photobiomodulation Therapy for the Treatment of Autistic Traits in Children and Adolescents With Attention Deficit Hyperactivity Disorder

TypeinterventionalSponsorMassachusetts General HospitalRan2021 to 2024Enrolled38ConditionsAutism, Attention Deficit Hyperactivity DisorderArmsTranscranial Photobiomodulation
3 · Its place in the literature

Who cites it

106 citing papers in PubMed, 12 syntheses or guidelines pooled it, 326 citations in OpenAlex.

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  5. Global prevalence of autism: A systematic review update.Autism research : official journal of the International Society for Autism Research · 2022
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  7. Potential of Salivary Biomarkers in Autism Research: A Systematic Review.International journal of molecular sciences · 2021
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46 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

15 authors at 10 institutions in 1 country.

Deborah L ChristensenDivision of Congenital and Developmental Disorders, National Center on Birth Defects and Developmental Disabilities, CDC.
Matthew J MaennerDivision of Congenital and Developmental Disorders, National Center on Birth Defects and Developmental Disabilities, CDC.
Deborah BilderUniversity of Utah, Salt Lake City.
John N ConstantinoWashington University in St. Louis, Missouri.
Julie DanielsUniversity of North Carolina, Chapel Hill.
Maureen S DurkinUniversity of Wisconsin, Madison.
Robert T FitzgeraldWashington University in St. Louis, Missouri.
Margaret Kurzius-SpencerUniversity of Arizona, Tucson.
Sydney D PettygroveUniversity of Arizona, Tucson.
Cordelia RobinsonUniversity of Colorado School of Medicine, Aurora.
Josephine ShenoudaRutgers New Jersey Medical School, Newark.
Tiffany WhiteColorado Department of Public Health and Environment, Denver.
Walter ZahorodnyRutgers New Jersey Medical School, Newark.
Karen PazolDivision of Congenital and Developmental Disorders, National Center on Birth Defects and Developmental Disabilities, CDC.
Patricia DietzDivision of Congenital and Developmental Disorders, National Center on Birth Defects and Developmental Disabilities, CDC.
National Center on Birth Defects and Developmental Disabilities · USUniversity of Arizona · USWashington University in St. Louis · USColorado Department of Public Health and Environment · USRutgers New Jersey Medical SchoolRutgers, The State University of New Jersey · USUniversity of Colorado Denver · USUniversity of North Carolina at Chapel Hill · USUniversity of Utah · USUniversity of Wisconsin–Madison · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

problem/conditionAutism spectrum disorder (ASD) is estimated to affect up to 3% of children in the United States. Public health surveillance for ASD among children aged 4 years provides information about trends in prevalence, characteristics of children with ASD, and progress made toward decreasing the age of identification of ASD so that evidence-based interventions can begin as early as possible. PERIOD COVERED: 2010, 2012, and 2014. DESCRIPTION OF SYSTEM: The Early Autism and Developmental Disabilities Monitoring (Early ADDM) Network is an active surveillance system that provides biennial estimates of the prevalence and characteristics of ASD among children aged 4 years whose parents or guardians lived within designated sites. During surveillance years 2010, 2012, or 2014, data were collected in seven sites: Arizona, Colorado, Missouri, New Jersey, North Carolina, Utah, and Wisconsin. The Early ADDM Network is a subset of the broader ADDM Network (which included 13 total sites over the same period) that has been conducting ASD surveillance among children aged 8 years since 2000. Each Early ADDM site covers a smaller geographic area than the broader ADDM Network. Early ADDM ASD surveillance is conducted in two phases using the same methods and project staff members as the ADDM Network. The first phase consists of reviewing and abstracting data from children's records, including comprehensive evaluations performed by community professionals. Sources for these evaluations include general pediatric health clinics and specialized programs for children with developmental disabilities. In addition, special education records (for children aged ≥3 years) were reviewed for Arizona, Colorado, New Jersey, North Carolina, and Utah, and early intervention records (for children aged 0 to <3 years) were reviewed for New Jersey, North Carolina, Utah, and Wisconsin; in Wisconsin, early intervention records were reviewed for 2014 only. The second phase involves a review of the abstracted evaluations by trained clinicians using a standardized case definition and method. A child is considered to meet the surveillance case definition for ASD if one or more comprehensive evaluations of that child completed by a qualified professional describes behaviors consistent with the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision (DSM-IV-TR) diagnostic criteria for any of the following conditions: autistic disorder, pervasive developmental disorder-not otherwise specified (PDD-NOS, including atypical autism), or Asperger disorder (2010, 2012, and 2014). For 2014 only, prevalence estimates based on surveillance case definitions according to DSM-IV-TR and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) were compared. This report provides estimates of overall ASD prevalence and prevalence by sex and race/ethnicity; characteristics of children aged 4 years with ASD, including age at first developmental evaluation, age at ASD diagnosis, and cognitive function; and trends in ASD prevalence and characteristics among Early ADDM sites with data for all 3 surveillance years (2010, 2012, and 2014), including comparisons with children aged 8 years living in the same geographic area. Analyses of time trends in ASD prevalence are restricted to the three sites that contributed data for all 3 surveillance years with consistent data sources (Arizona, Missouri, and New Jersey).

resultsThe overall ASD prevalence was 13.4 per 1,000 children aged 4 years in 2010, 15.3 in 2012, and 17.0 in 2014 for Early ADDM sites with data for the specific years. ASD prevalence was determined using a surveillance case definition based on DSM-IV-TR. Within each surveillance year, ASD prevalence among children aged 4 years varied across surveillance sites and was lowest each year for Missouri (8.5, 8.1, and 9.6 per 1,000, for 2010, 2012, and 2014, respectively) and highest each year for New Jersey (19.7, 22.1, and 28.4 per 1,000, for the same years, respectively). Aggregated prevalence estimates were higher for sites that reviewed education and health care records than for sites that reviewed only health care records. Among all participating sites and years, ASD prevalence among children aged 4 years was consistently higher among boys than girls; prevalence ratios ranged from 2.6 (Arizona and Wisconsin in 2010) to 5.2 boys per one girl (Colorado in 2014). In 2010, ASD prevalence was higher among non-Hispanic white children than among Hispanic children in Arizona and non-Hispanic black children in Missouri; no other differences were observed by race/ethnicity. Among four sites with ≥60% data on cognitive test scores (Arizona, New Jersey, North Carolina, and Utah), the frequency of co-occurring intellectual disabilities was significantly higher among children aged 4 years than among those aged 8 years for each site in each surveillance year except Arizona in 2010. The percentage of children with ASD who had a first evaluation by age 36 months ranged from 48.8% in Missouri in 2012 to 88.9% in Wisconsin in 2014. The percentage of children with a previous ASD diagnosis from a community provider varied by site, ranging from 43.0% for Arizona in 2012 to 86.5% for Missouri in 2012. The median age at earliest known ASD diagnosis varied from 28 months in North Carolina in 2014 to 39.0 months in Missouri and Wisconsin in 2012. In 2014, the ASD prevalence based on the DSM-IV-TR case definition was 20% higher than the prevalence based on the DSM-5 (17.0 versus 14.1 per 1,000, respectively). Trends in ASD prevalence and characteristics among children aged 4 years during the study period were assessed for the three sites with data for all 3 years and consistent data sources (Arizona, Missouri, and New Jersey) using the DSM-IV-TR case definition; prevalence was higher in 2014 than in 2010 among children aged 4 years in New Jersey and was stable in Arizona and Missouri. In Missouri, ASD prevalence was higher among children aged 8 years than among children aged 4 years. The percentage of children with ASD who had a comprehensive evaluation by age 36 months was stable in Arizona and Missouri and decreased in New Jersey. In the three sites, no change occurred in the age at earliest known ASD diagnosis during 2010-2014.

interpretationThe findings suggest that ASD prevalence among children aged 4 years was higher in 2014 than in 2010 in one site and remained stable in others. Among children with ASD, the frequency of cognitive impairment was higher among children aged 4 years than among those aged 8 years and suggests that surveillance at age 4 years might more often include children with more severe symptoms or those with co-occurring conditions such as intellectual disability. In the sites with data for all years and consistent data sources, no change in the age at earliest known ASD diagnosis was found, and children received their first developmental evaluation at the same or a later age in 2014 compared with 2010. Delays in the initiation of a first developmental evaluation might adversely affect children by delaying access to treatment and special services that can improve outcomes for children with ASD. PUBLIC HEALTH ACTION: Efforts to increase awareness of ASD and improve the identification of ASD by community providers can facilitate early diagnosis of children with ASD. Heterogeneity of results across sites suggests that community-level differences in evaluation and diagnostic services as well as access to data sources might affect estimates of ASD prevalence and age of identification. Continuing improvements in providing developmental evaluations to children as soon as developmental concerns are identified might result in earlier ASD diagnoses and earlier receipt of services, which might improve developmental outcomes.

Indexed as

Public Health SurveillanceAutism Spectrum DisorderChild, PreschoolFemaleHumansMalePrevalenceUnited States

Identifiers

PMID30973853
PMCPMC6476327
OpenAlexW2938148958

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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.