Evidence map›Paper›PMID 31772171›Full record

ArticleTranslational psychiatry2019

Examining overlap and homogeneity in ASD, ADHD, and OCD: a data-driven, diagnosis-agnostic approach.

Azadeh Kushki, Evdokia Anagnostou, Christopher Hammill, Pierre Duez, Jessica Brian, Alana Iaboni, Russell Schachar, Jennifer Crosbie, Paul Arnold, Jason P Lerch

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 5 pooled it
–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

73 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Article
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  10. Identifying Neurodevelopmental Domain Subgroups in Autism and ADHD.Journal of autism and developmental disorders · 2026
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  12. Review
  13. Transdiagnostic Behavioral Phenotypes and Comorbid Gastrointestinal Symptoms in Neurodevelopmental Disorders: An Exploratory Study.Autism research : official journal of the International Society for Autism Research · 2026
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  14. Article
  15. Article
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13 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

10 authors.

Azadeh KushkiAutism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada. akushki@hollandbloorview.ca.ORCID http://orcid.org/0000-0003-1510-8818
Evdokia AnagnostouAutism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Christopher HammillMouse Imaging Centre, The Hospital for Sick Children, Toronto, ON, Canada.
Pierre DuezBloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Jessica BrianAutism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Alana IaboniAutism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Russell SchacharDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Jennifer CrosbieDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Paul ArnoldHotchkiss Brain Institute, Departments of Psychiatry & Medical Genetics, University of Calgary, Calgary, AB, Canada.
Jason P LerchMouse Imaging Centre, The Hospital for Sick Children, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The validity of diagnostic labels of autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), and obsessive compulsive disorder (OCD) is an open question given the mounting evidence that these categories may not correspond to conditions with distinct etiologies, biologies, or phenotypes. The objective of this study was to determine the agreement between existing diagnostic labels and groups discovered based on a data-driven, diagnosis-agnostic approach integrating cortical neuroanatomy and core-domain phenotype features. A machine learning pipeline, called bagged-multiview clustering, was designed to discover homogeneous subgroups by integrating cortical thickness data and measures of core-domain phenotypic features of ASD, ADHD, and OCD. This study was conducted using data from the Province of Ontario Neurodevelopmental Disorders (POND) Network, a multi-center study in Ontario, Canada. Participants (n = 226) included children between the ages of 6 and 18 with a diagnosis of ASD (n = 112, median [IQR] age = 11.7[4.8], 21% female), ADHD (n = 58, median [IQR] age = 10.2[3.3], 14% female), or OCD (n = 34, median [IQR] age = 12.1[4.2], 38% female), as well as typically developing controls (n = 22, median [IQR] age = 11.0[3.8], 55% female). The diagnosis-agnostic groups were significantly different than each other in phenotypic characteristics (SCQ: χ

Indexed as

AdolescentAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderBrainChildComorbidityDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMaleObsessive-Compulsive DisorderOntario

Identifiers

PMID31772171
PMCPMC6880188

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.