Evidence map›Paper›PMID 32116882›Full record

ArticleFrontiers in psychology2020

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

Maria Chiara Pino, Francesco Masedu, Roberto Vagnetti, Margherita Attanasio, Chiara Di Giovanni, Marco Valenti, Monica Mazza

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 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

7 authors at 2 institutions in 1 country.

Maria Chiara PinoDepartment of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.
Francesco MaseduDepartment of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.
Roberto VagnettiDepartment of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.
Margherita AttanasioDepartment of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.
Chiara Di GiovanniRegional Centre for Autism, Abruzzo Region Health System, L'Aquila, Italy.
Marco ValentiDepartment of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.
Monica MazzaDepartment of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.
University of L'Aquila · ITAgenzia Sanitaria Regionale Abruzzo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

autism spectrum disorderclinical utilitydiagnostic processreceiver operating characteristic (ROC) curvesocial cognitionTheory of Mind

Identifiers

PMID32116882
PMCPMC7012901
OpenAlexW3005007534

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.