Evidence map›Paper›PMID 39585536›Full record

ArticleJournal of autism and developmental disorders2026

Prior Diagnoses and Age of Diagnosis in Children Later Diagnosed with Autism.

Maire C Diemer, Emily Gerstein

Abstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Maire C DiemerMedical University of South Carolina, 171 Ashley Ave, Charleston, SC, 29425, USA. diemerm@musc.edu.ORCID http://orcid.org/0000-0003-2553-9064
Emily GersteinUniversity of Missouri- St. Louis, 1 University Blvd, St. Louis, MO, 63121, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Awareness of autism is rising, yet social determinants of health impact ages of diagnosis, and diagnostic load. Unequal rates of diagnoses may indicate biases in the healthcare system. This study investigates six prior diagnoses (ADHD, conduct, adjustment, anxiety, mood, and intellectual disability) assigned to children who are later diagnosed with autism. The study investigates how race, sex, and geographic factors were associated with age of diagnosis and diagnostic load. A sample of 13,850 (78.16% male and 14.43% Black, with 57.95% of children living in urban regions) children aged 2-10 who were diagnosed with autism on Missouri Medicaid between 2015 and 2019 were studied. Indicated that being White, living urban, and having more prior diagnoses were associated with older age of autism diagnosis. Using logistic regressions, being White was associated with a child being more likely diagnosed with all prior diagnoses aside from intellectual disability. Being male was related to a higher likelihood of ADHD, and lower likelihood of intellectual disability. Being White was associated with higher likelihood of most diagnoses, even in urban-only samples, potentially reflecting more access to providers and office visits. Living in rural areas was also associated with earlier diagnosis and more prior diagnoses such as ADHD and conduct, which may be due to types of providers or specialists seen. Future research should look at barriers to diagnosis and the advantages and disadvantages of a higher diagnostic load.

Indexed as

Autism Spectrum DisorderAutistic DisorderDelayed DiagnosisAge FactorsAnxietyAttention Deficit Disorder with HyperactivityChildChild, PreschoolFemaleHumansIntellectual DisabilityMaleMedicaidMissouriRural PopulationSex FactorsAutismAutistic girlsBlackDiagnostic loadGenderMedicaidRaceRural

Identifiers

PMID39585536
PMCPMC12987802

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Registered trials

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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.