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Development and validation of a streamlined autism case confirmation approach for use in epidemiologic risk factor research in prospective cohorts / Craig J. NEWSCHAFFER in Autism Research, 10-3 (March 2017)
[article]
Titre : Development and validation of a streamlined autism case confirmation approach for use in epidemiologic risk factor research in prospective cohorts Type de document : Texte imprimé et/ou numérique Auteurs : Craig J. NEWSCHAFFER, Auteur ; Emily SCHRIVER, Auteur ; Lindsay BERRIGAN, Auteur ; Rebecca LANDA, Auteur ; Wendy L. STONE, Auteur ; Somer L. BISHOP, Auteur ; Diane BURKOM, Auteur ; Anne GOLDEN, Auteur ; Lisa IBANEZ, Auteur ; Alice KUO, Auteur ; Kimberly D. LAKES, Auteur ; Daniel S. MESSINGER, Auteur ; Sarah J. PATERSON, Auteur ; Zachary WARREN, Auteur Article en page(s) : p.485-501 Langues : Anglais (eng) Mots-clés : autism ASD case-confirmation epidemiology diagnosis novel assessments Index. décimale : PER Périodiques Résumé : The cost associated with incorporating standardized observational assessments and diagnostic interviews in large-scale epidemiologic studies of autism spectrum disorders (ASD) risk factors can be substantial. Streamlined approaches for confirming ASD case status would benefit these studies. We conducted a multi-site, cross-sectional criterion validity study in a convenience sample of 382 three-year olds scheduled for neurodevelopmental evaluation. ASD case classification as determined by three novel assessment instruments (the Early Video-guided Autism Screener E-VAS; the Autism Symptom Interview, ASI; the Screening Tool for Autism in Toddlers Expanded, STAT-E) each designed to be administered in less than 30 minutes by lay staff, was compared to ADOS scores and DSM-based diagnostic assessment from a qualified clinician. Sensitivity and specificity of each instrument alone and in combination were estimated. Alternative cutpoints were identified under different criteria and two-stage cross validation was used to avoid overfitting. Findings were interpreted in the context of a large, prospective pregnancy cohort study utilizing a two-stage approach to case identification. Under initial cutpoints, sensitivity ranged from 0.63 to 0.92 and specificity from 0.35 to 0.70. Cutpoints giving equal weight to sensitivity and specificity resulted in sensitivity estimates ranging from 0.45 to 0.83 and specificity ranging from 0.49 to 0.86. Several strategies were well-suited for application as a second-stage case-confirmation. These included the STAT-E alone and the parallel administration of both the E-VAS and the ASI. Use of more streamlined methods of case-confirmation in large-scale prospective cohort epidemiologic investigations of ASD risk factors appears feasible. En ligne : http://dx.doi.org/10.1002/aur.1659 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304
in Autism Research > 10-3 (March 2017) . - p.485-501[article] Development and validation of a streamlined autism case confirmation approach for use in epidemiologic risk factor research in prospective cohorts [Texte imprimé et/ou numérique] / Craig J. NEWSCHAFFER, Auteur ; Emily SCHRIVER, Auteur ; Lindsay BERRIGAN, Auteur ; Rebecca LANDA, Auteur ; Wendy L. STONE, Auteur ; Somer L. BISHOP, Auteur ; Diane BURKOM, Auteur ; Anne GOLDEN, Auteur ; Lisa IBANEZ, Auteur ; Alice KUO, Auteur ; Kimberly D. LAKES, Auteur ; Daniel S. MESSINGER, Auteur ; Sarah J. PATERSON, Auteur ; Zachary WARREN, Auteur . - p.485-501.
Langues : Anglais (eng)
in Autism Research > 10-3 (March 2017) . - p.485-501
Mots-clés : autism ASD case-confirmation epidemiology diagnosis novel assessments Index. décimale : PER Périodiques Résumé : The cost associated with incorporating standardized observational assessments and diagnostic interviews in large-scale epidemiologic studies of autism spectrum disorders (ASD) risk factors can be substantial. Streamlined approaches for confirming ASD case status would benefit these studies. We conducted a multi-site, cross-sectional criterion validity study in a convenience sample of 382 three-year olds scheduled for neurodevelopmental evaluation. ASD case classification as determined by three novel assessment instruments (the Early Video-guided Autism Screener E-VAS; the Autism Symptom Interview, ASI; the Screening Tool for Autism in Toddlers Expanded, STAT-E) each designed to be administered in less than 30 minutes by lay staff, was compared to ADOS scores and DSM-based diagnostic assessment from a qualified clinician. Sensitivity and specificity of each instrument alone and in combination were estimated. Alternative cutpoints were identified under different criteria and two-stage cross validation was used to avoid overfitting. Findings were interpreted in the context of a large, prospective pregnancy cohort study utilizing a two-stage approach to case identification. Under initial cutpoints, sensitivity ranged from 0.63 to 0.92 and specificity from 0.35 to 0.70. Cutpoints giving equal weight to sensitivity and specificity resulted in sensitivity estimates ranging from 0.45 to 0.83 and specificity ranging from 0.49 to 0.86. Several strategies were well-suited for application as a second-stage case-confirmation. These included the STAT-E alone and the parallel administration of both the E-VAS and the ASI. Use of more streamlined methods of case-confirmation in large-scale prospective cohort epidemiologic investigations of ASD risk factors appears feasible. En ligne : http://dx.doi.org/10.1002/aur.1659 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304 Separate scoring algorithms for specific identification priorities optimize the screening properties of the Screening Tool for Autism in Toddlers (STAT) / Shana M. ATTAR in Autism Research, 15-11 (November 2022)
[article]
Titre : Separate scoring algorithms for specific identification priorities optimize the screening properties of the Screening Tool for Autism in Toddlers (STAT) Type de document : Texte imprimé et/ou numérique Auteurs : Shana M. ATTAR, Auteur ; Lisa V. IBANEZ, Auteur ; Wendy L. STONE, Auteur Article en page(s) : p.2069-2080 Langues : Anglais (eng) Mots-clés : Child, Preschool Humans Autism Spectrum Disorder/diagnosis Autistic Disorder/diagnosis Mass Screening/methods Algorithms ROC Curve Asd autism community diagnosis novel assessments screening author’s share of royalties from Vanderbilt University for sales. Index. décimale : PER Périodiques Résumé : The Screening Tool for Autism in Toddlers (STAT) is a validated stage-2 autism spectrum disorder (ASD) screening measure that takes 20 minutes to administer and comprises 12 play-based items that are scored according to specific criteria. This study examines an expanded version (STAT-E) that includes the examiner's subjective ratings of children's social engagement (SE) and atypical behaviors (AB) in the scoring algorithm. The sample comprised 238 children who were 24-35 months old. The STAT-E assessors had limited ASD experience to mimic its use by community-based non-specialists, and were trained using a scalable web-based platform. A diagnostic evaluation was completed by clinical experts who were blind to the STAT-E results. Logistic regression, ROC curves, and classification matrices and metrics were used to determine the screening properties of STAT-E when scored using the original STAT scoring algorithm versus a new algorithm that included the SE and AB ratings. Inclusion of the SE and AB ratings improved positive risk classification appreciably, while the specificity declined. These results suggest that the STAT-E using the original STAT scoring algorithm optimizes specificity, while the STAT-E scoring algorithm with the two new ratings optimizes the positive risk classification. Using multiple scoring algorithms on the STAT may provide improved screening accuracy for diverse contexts, and a scalable web-based tutorial may be a pathway for increasing the number of community providers who can administer the STAT and contribute toward increased rates of autism screening. En ligne : http://dx.doi.org/10.1002/aur.2799 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.2069-2080[article] Separate scoring algorithms for specific identification priorities optimize the screening properties of the Screening Tool for Autism in Toddlers (STAT) [Texte imprimé et/ou numérique] / Shana M. ATTAR, Auteur ; Lisa V. IBANEZ, Auteur ; Wendy L. STONE, Auteur . - p.2069-2080.
Langues : Anglais (eng)
in Autism Research > 15-11 (November 2022) . - p.2069-2080
Mots-clés : Child, Preschool Humans Autism Spectrum Disorder/diagnosis Autistic Disorder/diagnosis Mass Screening/methods Algorithms ROC Curve Asd autism community diagnosis novel assessments screening author’s share of royalties from Vanderbilt University for sales. Index. décimale : PER Périodiques Résumé : The Screening Tool for Autism in Toddlers (STAT) is a validated stage-2 autism spectrum disorder (ASD) screening measure that takes 20 minutes to administer and comprises 12 play-based items that are scored according to specific criteria. This study examines an expanded version (STAT-E) that includes the examiner's subjective ratings of children's social engagement (SE) and atypical behaviors (AB) in the scoring algorithm. The sample comprised 238 children who were 24-35 months old. The STAT-E assessors had limited ASD experience to mimic its use by community-based non-specialists, and were trained using a scalable web-based platform. A diagnostic evaluation was completed by clinical experts who were blind to the STAT-E results. Logistic regression, ROC curves, and classification matrices and metrics were used to determine the screening properties of STAT-E when scored using the original STAT scoring algorithm versus a new algorithm that included the SE and AB ratings. Inclusion of the SE and AB ratings improved positive risk classification appreciably, while the specificity declined. These results suggest that the STAT-E using the original STAT scoring algorithm optimizes specificity, while the STAT-E scoring algorithm with the two new ratings optimizes the positive risk classification. Using multiple scoring algorithms on the STAT may provide improved screening accuracy for diverse contexts, and a scalable web-based tutorial may be a pathway for increasing the number of community providers who can administer the STAT and contribute toward increased rates of autism screening. En ligne : http://dx.doi.org/10.1002/aur.2799 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488