Validity of Social Cognition Measures in the Clinical Services for Autism Spectrum Disorder.

Theory of Mind autism spectrum disorder clinical utility diagnostic process receiver operating characteristic (ROC) curve social cognition

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2020
Historique:
received: 29 10 2019
accepted: 03 01 2020
entrez: 3 3 2020
pubmed: 3 3 2020
medline: 3 3 2020
Statut: epublish

Résumé

The current study evaluated three social cognition (SC) tests for their clinical utility in aiding autism diagnosis. To do so, we compared the performance of 86 children with autism spectrum disorder (ASD) and 68 typically developing (TD) children, all aged from 4 to 10 years old, on three SC tasks [the Social Information Processing Interview (SIPI), the Comic Strip Task (CST), and the children's version of the Eyes Task] and calculated threshold scores that best differentiated the two groups. While difficulties in these abilities appear to represent the "central core" of ASD, services have largely ignored SC tests when supporting autism diagnoses. Therefore, this study attempted to validate and evaluate the diagnostic potential of these three tasks for children with ASD. To investigate the accuracy of these SC tests, we used the receiver operating characteristic (ROC) curve. As expected, the ASD group performed worse than the TD group on the SIPI and CST, but contrary to our prediction, the groups did not significantly differ on the Eyes Task. Specifically, the overall area under the curve (AUC) for the SIPI was 0.87, with a sensitivity of 73.5% and a specificity of 83.9% at the best cutoff point (score range 0-36; best cutoff = 31). The overall AUC for the CST was 0.75, with a sensitivity of 71.1% and a specificity of 77.0% at the best cutoff point (score range 0-15; best cutoff = 11). The overall AUC for the Eyes Task was 0.51, with a sensitivity of 50.3% and a specificity of 40.2% at the best cutoff point (score range 0-54; best cutoff = 45). In conclusion, the results showed that the SIPI test has good predictive power for classifying children with ASD. It should provide substantial supplementary clinical information and help to consolidate diagnostic procedures based on standard tools. Moreover, the results of the study have substantial implications for clinical practice: the better the knowledge of SC functioning in children with ASD, the more effective the intervention program for rehabilitation.

Identifiants

pubmed: 32116882
doi: 10.3389/fpsyg.2020.00004
pmc: PMC7012901
doi:

Types de publication

Journal Article

Langues

eng

Pagination

4

Informations de copyright

Copyright © 2020 Pino, Masedu, Vagnetti, Attanasio, Di Giovanni, Valenti and Mazza.

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Auteurs

Maria Chiara Pino (MC)

Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.
Regional Centre for Autism, Abruzzo Region Health System, L'Aquila, Italy.

Francesco Masedu (F)

Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.

Roberto Vagnetti (R)

Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.

Margherita Attanasio (M)

Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.

Chiara Di Giovanni (C)

Regional Centre for Autism, Abruzzo Region Health System, L'Aquila, Italy.

Marco Valenti (M)

Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.
Regional Centre for Autism, Abruzzo Region Health System, L'Aquila, Italy.

Monica Mazza (M)

Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.
Regional Centre for Autism, Abruzzo Region Health System, L'Aquila, Italy.

Classifications MeSH