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DAS-II Cognitive Profiles Are Not Diagnostically Meaningful For Autism: A ROC Analysis / Caitlin C. CLEMENTS in Autism Research, 13-12 (December 2020)
[article]
Titre : DAS-II Cognitive Profiles Are Not Diagnostically Meaningful For Autism: A ROC Analysis Type de document : Texte imprimé et/ou numérique Auteurs : Caitlin C. CLEMENTS, Auteur ; Timea SPARDING, Auteur ; Robert T. SCHULTZ, Auteur ; Benjamin E YERYS, Auteur Article en page(s) : p.2143-2154 Langues : Anglais (eng) Mots-clés : Das-ii Roc autism cognitive profiles intelligence Index. décimale : PER Périodiques Résumé : Intelligence assessment is an integral part of a comprehensive autism evaluation. Many past studies have described a cognitive profile of autistic individuals characterized by higher nonverbal than verbal IQ scores. The diagnostic utility of this profile, however, remains unknown. We leveraged receiver operating characteristic methods to determine the sensitivity, specificity, and area under the curve (AUC) of three different IQ profiles in a large sample of children who have an autism spectrum disorder diagnosis (N = 1,228, Simons Simplex Collection) who completed the Differential Ability Scales-Second Edition (DAS-II), School Age compared to the normative sample provided by the DAS-II publisher (N = 2,200). The frequently discussed nonverbal > verbal IQ profile performed near chance at distinguishing ASD from normative individuals (AUC: 0.54, 95% CI [0.52-0.56]), and performed significantly worse for females than males (AUC: females: 0.46 [0.41-0.52]; males: 0.55 [0.53-0.58]). All cognitive profiles showed AUC?0.56. We conclude that while significant differences between verbal and nonverbal IQ scores exist at the group level, these differences are small in an absolute sense and not meaningful at an individual level. We do not recommend using cognitive profiles to aid in autism diagnostic decision-making. LAY SUMMARY: Some researchers and clinicians have reported an "autistic cognitive profile" of higher nonverbal intelligence than verbal intelligence. In an analysis of over 1,000 autistic children, we found that the group's average nonverbal intelligence is usually higher than their verbal intelligence. However, this pattern should not be used by clinicians to make an individual diagnosis of autism because our results show it is not helpful nor accurate. En ligne : http://dx.doi.org/10.1002/aur.2336 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434
in Autism Research > 13-12 (December 2020) . - p.2143-2154[article] DAS-II Cognitive Profiles Are Not Diagnostically Meaningful For Autism: A ROC Analysis [Texte imprimé et/ou numérique] / Caitlin C. CLEMENTS, Auteur ; Timea SPARDING, Auteur ; Robert T. SCHULTZ, Auteur ; Benjamin E YERYS, Auteur . - p.2143-2154.
Langues : Anglais (eng)
in Autism Research > 13-12 (December 2020) . - p.2143-2154
Mots-clés : Das-ii Roc autism cognitive profiles intelligence Index. décimale : PER Périodiques Résumé : Intelligence assessment is an integral part of a comprehensive autism evaluation. Many past studies have described a cognitive profile of autistic individuals characterized by higher nonverbal than verbal IQ scores. The diagnostic utility of this profile, however, remains unknown. We leveraged receiver operating characteristic methods to determine the sensitivity, specificity, and area under the curve (AUC) of three different IQ profiles in a large sample of children who have an autism spectrum disorder diagnosis (N = 1,228, Simons Simplex Collection) who completed the Differential Ability Scales-Second Edition (DAS-II), School Age compared to the normative sample provided by the DAS-II publisher (N = 2,200). The frequently discussed nonverbal > verbal IQ profile performed near chance at distinguishing ASD from normative individuals (AUC: 0.54, 95% CI [0.52-0.56]), and performed significantly worse for females than males (AUC: females: 0.46 [0.41-0.52]; males: 0.55 [0.53-0.58]). All cognitive profiles showed AUC?0.56. We conclude that while significant differences between verbal and nonverbal IQ scores exist at the group level, these differences are small in an absolute sense and not meaningful at an individual level. We do not recommend using cognitive profiles to aid in autism diagnostic decision-making. LAY SUMMARY: Some researchers and clinicians have reported an "autistic cognitive profile" of higher nonverbal intelligence than verbal intelligence. In an analysis of over 1,000 autistic children, we found that the group's average nonverbal intelligence is usually higher than their verbal intelligence. However, this pattern should not be used by clinicians to make an individual diagnosis of autism because our results show it is not helpful nor accurate. En ligne : http://dx.doi.org/10.1002/aur.2336 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 Predictive Value of Morphological Features in Patients with Autism versus Normal Controls / Heval M. OZGEN in Journal of Autism and Developmental Disorders, 43-1 (January 2013)
[article]
Titre : Predictive Value of Morphological Features in Patients with Autism versus Normal Controls Type de document : Texte imprimé et/ou numérique Auteurs : Heval M. OZGEN, Auteur ; Gerhard S. HELLEMANN, Auteur ; M. V. JONGE, Auteur ; Frits A. BEEMER, Auteur ; Herman VAN ENGELAND, Auteur Article en page(s) : p.147-155 Langues : Anglais (eng) Mots-clés : Autism Common variant Endophenotype Morphology Minor anomaly Predictive value ROC Recursive partitioning Index. décimale : PER Périodiques Résumé : We investigated the predictive power of morphological features in 224 autistic patients and 224 matched-pairs controls. To assess the relationship between the morphological features and autism, we used the receiver operator curves (ROC). In addition, we used recursive partitioning (RP) to determine a specific pattern of abnormalities that is characteristic for the difference between autistic children and typically developing controls. The present findings showed that morphological features are significantly increased in patients with autism. Using ROC and RP, some of the morphological measures also led to strong predictive accuracy. Facial asymmetry, multiple hair whorls and prominent forehead significantly differentiated patients with autism from controls. Future research on multivariable risk prediction models may benefit from the use of morphological features. En ligne : http://dx.doi.org/10.1007/s10803-012-1554-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=187
in Journal of Autism and Developmental Disorders > 43-1 (January 2013) . - p.147-155[article] Predictive Value of Morphological Features in Patients with Autism versus Normal Controls [Texte imprimé et/ou numérique] / Heval M. OZGEN, Auteur ; Gerhard S. HELLEMANN, Auteur ; M. V. JONGE, Auteur ; Frits A. BEEMER, Auteur ; Herman VAN ENGELAND, Auteur . - p.147-155.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 43-1 (January 2013) . - p.147-155
Mots-clés : Autism Common variant Endophenotype Morphology Minor anomaly Predictive value ROC Recursive partitioning Index. décimale : PER Périodiques Résumé : We investigated the predictive power of morphological features in 224 autistic patients and 224 matched-pairs controls. To assess the relationship between the morphological features and autism, we used the receiver operator curves (ROC). In addition, we used recursive partitioning (RP) to determine a specific pattern of abnormalities that is characteristic for the difference between autistic children and typically developing controls. The present findings showed that morphological features are significantly increased in patients with autism. Using ROC and RP, some of the morphological measures also led to strong predictive accuracy. Facial asymmetry, multiple hair whorls and prominent forehead significantly differentiated patients with autism from controls. Future research on multivariable risk prediction models may benefit from the use of morphological features. En ligne : http://dx.doi.org/10.1007/s10803-012-1554-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=187 Utility of the Asperger Syndrome Diagnostic Scale in the Assessment of Autism Spectrum Disorders / Amy CAMODECA in Journal of Autism and Developmental Disorders, 50-2 (February 2020)
[article]
Titre : Utility of the Asperger Syndrome Diagnostic Scale in the Assessment of Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Amy CAMODECA, Auteur ; Kylie Q. TODD, Auteur ; Jennifer CROYLE, Auteur Article en page(s) : p.513-523 Langues : Anglais (eng) Mots-clés : Auc Autism Criterion validity Questionnaires Roc Reliability Index. décimale : PER Périodiques Résumé : Investigated internal consistency reliability and criterion validity of the Asperger Syndrome Diagnostic Scale (ASDS) in a well-characterized sample of 120 children ([Formula: see text] = 9.91; autism [AUT] n = 54; non-autism [NOT] n = 66) who completed comprehensive outpatient evaluations with a gold-standard measure, the Autism Diagnostic Observation Schedule-2. With the exception of a low Cognitive alpha in the AUT group, internal consistency reliabilities ranged from moderate to high. Significant between-group mean differences were observed for all scores. Receiver operating characteristic analyses indicated Area Under the Curve in the fair range (.71). Cutoff points and interpretation are discussed. The ASDS appears most useful in cases of either low or high scores or as an adjuvant to gold-standard measures. En ligne : http://dx.doi.org/10.1007/s10803-019-04272-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=416
in Journal of Autism and Developmental Disorders > 50-2 (February 2020) . - p.513-523[article] Utility of the Asperger Syndrome Diagnostic Scale in the Assessment of Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Amy CAMODECA, Auteur ; Kylie Q. TODD, Auteur ; Jennifer CROYLE, Auteur . - p.513-523.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 50-2 (February 2020) . - p.513-523
Mots-clés : Auc Autism Criterion validity Questionnaires Roc Reliability Index. décimale : PER Périodiques Résumé : Investigated internal consistency reliability and criterion validity of the Asperger Syndrome Diagnostic Scale (ASDS) in a well-characterized sample of 120 children ([Formula: see text] = 9.91; autism [AUT] n = 54; non-autism [NOT] n = 66) who completed comprehensive outpatient evaluations with a gold-standard measure, the Autism Diagnostic Observation Schedule-2. With the exception of a low Cognitive alpha in the AUT group, internal consistency reliabilities ranged from moderate to high. Significant between-group mean differences were observed for all scores. Receiver operating characteristic analyses indicated Area Under the Curve in the fair range (.71). Cutoff points and interpretation are discussed. The ASDS appears most useful in cases of either low or high scores or as an adjuvant to gold-standard measures. En ligne : http://dx.doi.org/10.1007/s10803-019-04272-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=416