Evidence map›Paper›PMID 26956715›Full record

ArticleJournal of autism and developmental disorders2016

Classifying Autism Spectrum Disorders by ADI-R: Subtypes or Severity Gradient?

Hannah Cholemkery, Juliane Medda, Thomas Lempp, Christine M Freitag

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Article in Journal of autism and developmental disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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  16. Extracting Latent Subdimensions of Social Communication: A Cross-Measure Factor Analysis.Journal of the American Academy of Child and Adolescent Psychiatry · 2021
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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

4 authors.

Hannah CholemkeryDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Hospital, Deutschordenstraße 50, 60528, Frankfurt Am Main, Germany. Hannah.Cholemkery@kgu.de.
Juliane MeddaDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Hospital, Deutschordenstraße 50, 60528, Frankfurt Am Main, Germany.
Thomas LemppDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Hospital, Deutschordenstraße 50, 60528, Frankfurt Am Main, Germany.
Christine M FreitagDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Hospital, Deutschordenstraße 50, 60528, Frankfurt Am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To reduce phenotypic heterogeneity of Autism spectrum disorders (ASD) and add to the current diagnostic discussion this study aimed at identifying clinically meaningful ASD subgroups. Cluster analyses were used to describe empirically derived groups based on the Autism Diagnostic Interview-revised (ADI-R) in a large sample of n = 463 individuals with ASD aged 3-21. Three clusters were observed. Most severely affected individuals regarding all core symptoms were allocated to cluster 2. Cluster 3 comprised moderate symptom severity of social communication impairments (SCI) and less stereotyped repetitive behavior (RRB). Minor SCI and relatively more RRB characterized cluster 1. This study offers support for both, a symptom profile, and a gradient model of ASD within the spectrum due to the sample included.

Indexed as

AdolescentAutism Spectrum DisorderChildChild, PreschoolCluster AnalysisDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMalePhenotypePsychometricsSeverity of Illness IndexYoung AdultAutism Diagnostic Interview-revisedAutism spectrum disorderCluster analysisDiagnosisDSM-5Psychometric assessment

Identifiers

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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.