Centre d'Information et de documentation du CRA Rhône-Alpes
CRA
Informations pratiques
-
Adresse
Centre d'information et de documentation
du CRA Rhône-Alpes
Centre Hospitalier le Vinatier
bât 211
95, Bd Pinel
69678 Bron CedexHoraires
Lundi au Vendredi
9h00-12h00 13h30-16h00Contact
Tél: +33(0)4 37 91 54 65
Mail
Fax: +33(0)4 37 91 54 37
-
Résultat de la recherche
3 recherche sur le mot-clé 'Predictive Value of Tests'
Affiner la recherche Générer le flux rss de la recherche
Partager le résultat de cette recherche Faire une suggestion
The Predictive Value of the AQ and the SRS-A in the Diagnosis of ASD in Adults in Clinical Practice / M. L. BEZEMER in Journal of Autism and Developmental Disorders, 51-7 (July 2021)
[article]
Titre : The Predictive Value of the AQ and the SRS-A in the Diagnosis of ASD in Adults in Clinical Practice Type de document : Texte imprimé et/ou numérique Auteurs : M. L. BEZEMER, Auteur ; E. M. A. BLIJD-HOOGEWYS, Auteur ; M. MEEK-HEEKELAAR, Auteur Article en page(s) : p.2402-2415 Langues : Anglais (eng) Mots-clés : Adult Autism Spectrum Disorder/diagnosis Female Humans Male Neuropsychological Tests/standards/statistics & numerical data Predictive Value of Tests Psychiatric Status Rating Scales/standards/statistics & numerical data Psychometrics Referral and Consultation Reproducibility of Results Sensitivity and Specificity Surveys and Questionnaires/standards/statistics & numerical data Aq Asd Predictive value Srs-a Index. décimale : PER Périodiques Résumé : Questionnaires are widely used in autism assessment. However, their psychometric properties are generally not evaluated in clinical practice, and the comparability and applicability of such research is limited because questionnaires are often not simultaneously evaluated. This certainly pertains to predictive values which are highly population and setting specific. This study evaluated the power of AQ and SRS-A in predicting an ASD diagnosis within the same clinical population. The patient records of 92 adults, referred for autism assessment, were analyzed. The AQ proved somewhat better than the SRS-A at discriminating and predicting autism. The predictive values of both questionnaires were lower than reported in general population studies. Psychometric results in core publications appear less representative for clinical practice. En ligne : http://dx.doi.org/10.1007/s10803-020-04699-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452
in Journal of Autism and Developmental Disorders > 51-7 (July 2021) . - p.2402-2415[article] The Predictive Value of the AQ and the SRS-A in the Diagnosis of ASD in Adults in Clinical Practice [Texte imprimé et/ou numérique] / M. L. BEZEMER, Auteur ; E. M. A. BLIJD-HOOGEWYS, Auteur ; M. MEEK-HEEKELAAR, Auteur . - p.2402-2415.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 51-7 (July 2021) . - p.2402-2415
Mots-clés : Adult Autism Spectrum Disorder/diagnosis Female Humans Male Neuropsychological Tests/standards/statistics & numerical data Predictive Value of Tests Psychiatric Status Rating Scales/standards/statistics & numerical data Psychometrics Referral and Consultation Reproducibility of Results Sensitivity and Specificity Surveys and Questionnaires/standards/statistics & numerical data Aq Asd Predictive value Srs-a Index. décimale : PER Périodiques Résumé : Questionnaires are widely used in autism assessment. However, their psychometric properties are generally not evaluated in clinical practice, and the comparability and applicability of such research is limited because questionnaires are often not simultaneously evaluated. This certainly pertains to predictive values which are highly population and setting specific. This study evaluated the power of AQ and SRS-A in predicting an ASD diagnosis within the same clinical population. The patient records of 92 adults, referred for autism assessment, were analyzed. The AQ proved somewhat better than the SRS-A at discriminating and predicting autism. The predictive values of both questionnaires were lower than reported in general population studies. Psychometric results in core publications appear less representative for clinical practice. En ligne : http://dx.doi.org/10.1007/s10803-020-04699-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452 Replication study for ADOS-2 cut-offs to assist evaluation of autism spectrum disorder / Ji Su HONG in Autism Research, 15-11 (November 2022)
[article]
Titre : Replication study for ADOS-2 cut-offs to assist evaluation of autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Ji Su HONG, Auteur ; Vini SINGH, Auteur ; Luke G. KALB, Auteur ; Rachel REETZKE, Auteur ; Natasha N. LUDWIG, Auteur ; Danika PFEIFFER, Auteur ; Calliope HOLINGUE, Auteur ; Deepa MENON, Auteur ; Qing LU, Auteur ; Ahlam ASHKAR, Auteur ; Rebecca LANDA, Auteur Article en page(s) : p.2181-2191 Langues : Anglais (eng) Mots-clés : Child Humans Male Female Autism Spectrum Disorder/diagnosis Sensitivity and Specificity Predictive Value of Tests Algorithms Autistic Disorder autism spectrum disorder classification cut-off score diagnosis Index. décimale : PER Périodiques Résumé : The Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) has been widely used for ASD assessment. While prior studies investigated sensitivity and specificity of ADOS-2 Modules 1-3, there has been limited research addressing algorithm cut-off scores to optimize ADOS-2 classification. The goal of this study was to assess algorithm cut-off scores for diagnosing ASD with Modules 1-3, and to evaluate alignment of the ADOS-2 classification with the best estimate clinical diagnosis. Participants included 3144 children aged 31 months or older who received ADOS-2 Modules 1-3, as well as the best estimate clinical diagnosis. Five classification statistics were reported for each module: sensitivity, specificity, positive predictive value, negative predictive value, and accuracy (i.e., Receiver Operator Classification Statistic), and these statistics were calculated for the optimal cut-off score. Frequency tables were used to compare ADOS-2 classification and the best estimate clinical diagnosis. Half of the sample received Module 3, 21% received Module 2, and 29% received Module 1. The overall prevalence of ASD was 60%; the male-to-female ratio was 4:1, and half of the sample was non-White. Across all modules, the autism spectrum cut-off score from the ADOS-2 manual resulted in high sensitivity (95%+) and low specificity (63%-73%). The autism cut-off score resulted in better specificity (76%-86%) with favorable sensitivity (81%-94%). The optimal cut-off scores for all modules based on the current sample were within the autism spectrum classification range except Module 2 Algorithm 2. In the No ASD group, 29% had false positives (ADOS-2 autism spectrum classification or autism classification). The ADOS-2 autism spectrum classification did not indicate directionality for diagnostic outcome (ASD 56% vs. No ASD 44%). While cut-off scores of ADOS-2 Modules 1-3 in the manual yielded good clinical utility in ASD assessment, false positives and low predictability of the autism spectrum classification remain challenging for clinicians. En ligne : http://dx.doi.org/10.1002/aur.2801 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488
in Autism Research > 15-11 (November 2022) . - p.2181-2191[article] Replication study for ADOS-2 cut-offs to assist evaluation of autism spectrum disorder [Texte imprimé et/ou numérique] / Ji Su HONG, Auteur ; Vini SINGH, Auteur ; Luke G. KALB, Auteur ; Rachel REETZKE, Auteur ; Natasha N. LUDWIG, Auteur ; Danika PFEIFFER, Auteur ; Calliope HOLINGUE, Auteur ; Deepa MENON, Auteur ; Qing LU, Auteur ; Ahlam ASHKAR, Auteur ; Rebecca LANDA, Auteur . - p.2181-2191.
Langues : Anglais (eng)
in Autism Research > 15-11 (November 2022) . - p.2181-2191
Mots-clés : Child Humans Male Female Autism Spectrum Disorder/diagnosis Sensitivity and Specificity Predictive Value of Tests Algorithms Autistic Disorder autism spectrum disorder classification cut-off score diagnosis Index. décimale : PER Périodiques Résumé : The Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) has been widely used for ASD assessment. While prior studies investigated sensitivity and specificity of ADOS-2 Modules 1-3, there has been limited research addressing algorithm cut-off scores to optimize ADOS-2 classification. The goal of this study was to assess algorithm cut-off scores for diagnosing ASD with Modules 1-3, and to evaluate alignment of the ADOS-2 classification with the best estimate clinical diagnosis. Participants included 3144 children aged 31 months or older who received ADOS-2 Modules 1-3, as well as the best estimate clinical diagnosis. Five classification statistics were reported for each module: sensitivity, specificity, positive predictive value, negative predictive value, and accuracy (i.e., Receiver Operator Classification Statistic), and these statistics were calculated for the optimal cut-off score. Frequency tables were used to compare ADOS-2 classification and the best estimate clinical diagnosis. Half of the sample received Module 3, 21% received Module 2, and 29% received Module 1. The overall prevalence of ASD was 60%; the male-to-female ratio was 4:1, and half of the sample was non-White. Across all modules, the autism spectrum cut-off score from the ADOS-2 manual resulted in high sensitivity (95%+) and low specificity (63%-73%). The autism cut-off score resulted in better specificity (76%-86%) with favorable sensitivity (81%-94%). The optimal cut-off scores for all modules based on the current sample were within the autism spectrum classification range except Module 2 Algorithm 2. In the No ASD group, 29% had false positives (ADOS-2 autism spectrum classification or autism classification). The ADOS-2 autism spectrum classification did not indicate directionality for diagnostic outcome (ASD 56% vs. No ASD 44%). While cut-off scores of ADOS-2 Modules 1-3 in the manual yielded good clinical utility in ASD assessment, false positives and low predictability of the autism spectrum classification remain challenging for clinicians. En ligne : http://dx.doi.org/10.1002/aur.2801 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 Autism Traits Predict Self-reported Executive Functioning Deficits in Everyday Life and an Aversion to Exercise / L. A. MASON in Journal of Autism and Developmental Disorders, 51-8 (August 2021)
[article]
Titre : Autism Traits Predict Self-reported Executive Functioning Deficits in Everyday Life and an Aversion to Exercise Type de document : Texte imprimé et/ou numérique Auteurs : L. A. MASON, Auteur ; B. M. ZIMIGA, Auteur ; R. ANDERS-JEFFERSON, Auteur ; K. R. PAAP, Auteur Article en page(s) : p.2725-2750 Langues : Anglais (eng) Mots-clés : Adolescent Adult Affect/physiology Autistic Disorder/diagnosis/psychology Avoidance Learning/physiology Cognitive Dysfunction/diagnosis/psychology Executive Function/physiology Exercise/physiology/psychology Female Humans Male Middle Aged Predictive Value of Tests Self Report Students/psychology Young Adult Autism quotient Autism traits Executive functioning Exercise Index. décimale : PER Périodiques Résumé : Are Autism Quotient (AQ) scores related to executive functioning (EF)? We sampled 200 students of normal intelligence and examined the relationship between AQ scores and: (a) 5 self-ratings of EF, (b) 5 performance-based measures of EF, and (c) 5 types of activities or experiences that are assumed to recruit EF and sometimes enhance EF. Our findings reveal that as AQ scores increase, self-rated EF ability decreases. AQ scores and self-reported EF measures do not correlate with objective EF task performance. Furthermore, AQ scores were shown to be negatively associated with many specific types of physical activity. As AQ scores increase, individuals report fewer positive reasons for exercise and more rationalizations for not engaging in more exercise. En ligne : http://dx.doi.org/10.1007/s10803-020-04741-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453
in Journal of Autism and Developmental Disorders > 51-8 (August 2021) . - p.2725-2750[article] Autism Traits Predict Self-reported Executive Functioning Deficits in Everyday Life and an Aversion to Exercise [Texte imprimé et/ou numérique] / L. A. MASON, Auteur ; B. M. ZIMIGA, Auteur ; R. ANDERS-JEFFERSON, Auteur ; K. R. PAAP, Auteur . - p.2725-2750.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 51-8 (August 2021) . - p.2725-2750
Mots-clés : Adolescent Adult Affect/physiology Autistic Disorder/diagnosis/psychology Avoidance Learning/physiology Cognitive Dysfunction/diagnosis/psychology Executive Function/physiology Exercise/physiology/psychology Female Humans Male Middle Aged Predictive Value of Tests Self Report Students/psychology Young Adult Autism quotient Autism traits Executive functioning Exercise Index. décimale : PER Périodiques Résumé : Are Autism Quotient (AQ) scores related to executive functioning (EF)? We sampled 200 students of normal intelligence and examined the relationship between AQ scores and: (a) 5 self-ratings of EF, (b) 5 performance-based measures of EF, and (c) 5 types of activities or experiences that are assumed to recruit EF and sometimes enhance EF. Our findings reveal that as AQ scores increase, self-rated EF ability decreases. AQ scores and self-reported EF measures do not correlate with objective EF task performance. Furthermore, AQ scores were shown to be negatively associated with many specific types of physical activity. As AQ scores increase, individuals report fewer positive reasons for exercise and more rationalizations for not engaging in more exercise. En ligne : http://dx.doi.org/10.1007/s10803-020-04741-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453