SynthesisJournal of autism and developmental disorders2025
A Systematic Literature Review of Racial Disproportionality in Autism in the U.S.
Synthesis in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Associations Among Demographic Factors, Bullying, Victimization and Weight Status Among Children with and Without Current Autism Spectrum Disorder Using the National Survey of Children's Health.Epidemiologia (Basel, Switzerland) · 2026Article
- Fragile X Syndrome in Adulthood: A Study of Electronic Health Records.American journal on intellectual and developmental disabilities · 2026Article
- A Nationwide Retrospective Analysis of Socioeconomic Factors Associated With Eosinophilic Colitis: A Population-Based Study.Gastro hep advances · 2025Article
- Survey of the Landscape of Society Practice Guidelines for Genetic Testing of Neurodevelopmental Disorders.Annals of neurology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, the Autism and Developmental Disabilities Monitoring Network has observed a shift in racial disparities in autism. To delineate the historical shift of racial disproportionality in US autism prevalence, our literature review examines three key topics: publication trends concerning racial disproportionality in autism, discernible national and state-level patterns, and underlying factors contributing to the disproportionality. Using the PRISMA framework, we synthesized 24 empirical studies on racial disproportionality in autism and its change over time. These studies explored national patterns and spatiotemporal variations to provide a comprehensive understanding of racial disparities in autism. Studies indicated similar national patterns for Black and Asian racial groups; both groups had had mixed results around the turn of the millennium. By 2007, the Asian group was overrepresented again. Hispanic and Native American groups have consistently been underrepresented. However, significant spatiotemporal variations were found, suggesting that these disparities might reflect inherent inequalities within the current identification and classification system. The patterns of racial disproportionality in autism seem to be influenced by numerous factors. These include varying state definitions of autism, disparities in resource distribution, differences in symptom recognition across cultures, service preferences, cultural mismatches between professionals and families, and prevailing biases and stigmas, as revealed by the reviewed studies. These findings prompt a closer look into the causes and implications of these disparities, offering the underlying issues within the current diagnostic system and highlighting the need for further research to ensure equal educational opportunities regardless of disabilities and race/ethnicity.
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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.