Evidence map›Paper›PMID 36933152›Full record

ArticleEuropean child & adolescent psychiatry2024

Predictors of age at diagnosis in autism spectrum disorders: the use of multiple regression analyses and a classification tree on a clinical sample.

Michal Hrdlicka, Tomas Urbanek, Adela Rotreklova, Aneta Kultova, Ondrej Valek, Iva Dudova

Open access · hybridFull text read
In one paragraph

Article in European child & adolescent psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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.

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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Slow but Steady: Similarities and Differences in Executive Functioning Between Autistic and Non-Autistic Adults.Autism research : official journal of the International Society for Autism Research · 2025
    Article
  8. Article
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

6 authors at 4 institutions in 1 country.

Michal HrdlickaDepartment of Child Psychiatry, Second Faculty of Medicine, Charles University, University Hospital Motol, V Uvalu 84, 15006, Prague, Czech Republic. michal.hrdlicka@fnmotol.cz.
Tomas UrbanekInstitute of Psychology, Academy of Sciences, Brno, Czech Republic.
Adela RotreklovaDepartment of Child Psychiatry, Second Faculty of Medicine, Charles University, University Hospital Motol, V Uvalu 84, 15006, Prague, Czech Republic.
Aneta KultovaMilitary University Hospital, Prague, Czech Republic.
Ondrej ValekMilitary University Hospital, Prague, Czech Republic.
Iva DudovaDepartment of Child Psychiatry, Second Faculty of Medicine, Charles University, University Hospital Motol, V Uvalu 84, 15006, Prague, Czech Republic.
Charles University · CZMilitary University Hospital Prague · CZCzech Academy of Sciences, Institute of Psychology · CZUniversity Hospital in Motol · CZ

Funding

Ministerstvo Zdravotnictví Ceské Republiky 00064203Ministerstvo Zdravotnictví Ceské Republiky NV18-04-00085Univerzita Karlova v Praze Cooperatio, area Neuroscience
6 · The paper itself

Abstract

The increasing prevalence of autism spectrum disorders (ASD) has led to worldwide interest in factors influencing the age of ASD diagnosis. Parents or caregivers of 237 ASD children (193 boys, 44 girls) diagnosed using the Autism Diagnostic Observation Schedule (ADOS) completed a simple descriptive questionnaire. The data were analyzed using the variable-centered multiple regression analysis and the person-centered classification tree method. We believed that the concurrent use of these two methods could produce robust results. The mean age at diagnosis was 5.8 ± 2.2 years (median 5.3 years). Younger ages for ASD diagnosis were predicted (using multiple regression analysis) by higher scores in the ADOS social domain, higher scores in ADOS restrictive and repetitive behaviors and interest domain, higher maternal education, and the shared household of parents. Using the classification tree method, the subgroup with the lowest mean age at diagnosis were children, in whom the summation of ADOS communication and social domain scores was ≥ 17, and paternal age at the delivery was ≥ 29 years. In contrast, the subgroup with the oldest mean age at diagnosis included children with summed ADOS communication and social domain scores < 17 and maternal education at the elementary school level. The severity of autism and maternal education played a significant role in both types of data analysis focused on age at diagnosis.

Indexed as

Autism Spectrum DisorderAutistic DisorderChild Development Disorders, PervasiveAdultChildChild, PreschoolCommunicationFemaleHumansMaleRegression AnalysisADOSAge at diagnosisAutism spectrum disordersMaternal educationPaternal ageShared household

Identifiers

PMID36933152
PMCPMC10024300
OpenAlexW4327752823

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LicenceCC BY
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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.