Evidence map›Paper›PMID 36006478›Full record

ArticleEuropean child & adolescent psychiatry2023

Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models.

Sarah Wittkopf, Anika Langmann, Veit Roessner, Stefan Roepke, Luise Poustka, Igor Nenadić, Sanna Stroth, Inge Kamp-Becker

Open access · hybridAbstract read
In one paragraph

Article in European child & adolescent psychiatry, 2023. 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
1.2field-weighted citation impact, top 23% 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, 11 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Sarah WittkopfDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Medical Clinic, Philipps-University, Marburg, Germany.ORCID http://orcid.org/0000-0002-1840-0286
Anika LangmannDepartment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Medical Clinic, Philipps-University, Marburg, Germany.
Veit RoessnerDepartment of Child and Adolescent Psychiatry, Technical University Dresden, Dresden, Germany.
Stefan RoepkeDepartment of Psychiatry, Charité Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.
Luise PoustkaDepartment of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany.
Igor NenadićDepartment of Psychiatry and Psychotherapy, Medical Clinic, Philipps-University Marburg, Marburg, Germany.
Sanna Stroth *Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Medical Clinic, Philipps-University, Marburg, Germany. stroth@staff.uni-marburg.de.
Inge Kamp-Becker *Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Medical Clinic, Philipps-University, Marburg, Germany.
Philipps University of Marburg · DECharité - Universitätsmedizin Berlin · DETechnische Universität Dresden · DEUniversitätsmedizin Göttingen · DE

Funding

Bundesministerium für Bildung und Forschung FKZ 01EE1409A
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) might be conceptualized as an essentially dimensional, categorical, or hybrid model. Yet, current empirical studies are inconclusive and the latent structure of ASD has explicitly been examined only in a few studies. The aim of our study was to identify and discuss the latent model structure of behavioral symptoms related to ASD and to address the question of whether categories and/or dimensions best represent ASD symptoms. We included data of 2920 participants (1-72 years of age), evaluated with the Autism Diagnostic Observation Schedule (Modules 1-4). We applied latent class analysis, confirmatory factor analysis, and factor mixture modeling and evaluated the model fit by a combination of criteria. Based on the model selection criteria, the model fits, the interpretability as well as the clinical utility we conclude that the hybrid model serves best for conceptualization and assessment of ASD symptoms. It is both grounded in empirical evidence and in clinical usefulness, is in line with the current classification system (DSM-5) and has the potential of being more specific than the dimensional approach (decreasing false positive diagnoses).

Indexed as

Autism Spectrum DisorderAutistic DisorderConcept FormationDiagnostic and Statistical Manual of Mental DisordersFactor Analysis, StatisticalHumansAutism classificationAutism spectrum disorderFactor mixture modelingLatent structure hybrid model

Identifiers

PMID36006478
PMCPMC10576682
OpenAlexW4293090408

What OpenQuestion holds

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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.