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Phase 3 diagnostic evaluation of a smart tablet serious game to identify autism in 760 children 3–5 years old in Sweden and the United Kingdom

INTRODUCTION: Recent evidence suggests an underlying movement disruption may be a core component of autism spectrum disorder (ASD) and a new, accessible early biomarker. Mobile smart technologies such as iPads contain inertial movement and touch screen sensors capable of recording subsecond movement...

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Autores principales: Millar, Lindsay, McConnachie, Alex, Minnis, Helen, Wilson, Philip, Thompson, Lucy, Anzulewicz, Anna, Sobota, Krzysztof, Rowe, Philip, Gillberg, Christopher, Delafield-Butt, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661582/
https://www.ncbi.nlm.nih.gov/pubmed/31315858
http://dx.doi.org/10.1136/bmjopen-2018-026226
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author Millar, Lindsay
McConnachie, Alex
Minnis, Helen
Wilson, Philip
Thompson, Lucy
Anzulewicz, Anna
Sobota, Krzysztof
Rowe, Philip
Gillberg, Christopher
Delafield-Butt, Jonathan
author_facet Millar, Lindsay
McConnachie, Alex
Minnis, Helen
Wilson, Philip
Thompson, Lucy
Anzulewicz, Anna
Sobota, Krzysztof
Rowe, Philip
Gillberg, Christopher
Delafield-Butt, Jonathan
author_sort Millar, Lindsay
collection PubMed
description INTRODUCTION: Recent evidence suggests an underlying movement disruption may be a core component of autism spectrum disorder (ASD) and a new, accessible early biomarker. Mobile smart technologies such as iPads contain inertial movement and touch screen sensors capable of recording subsecond movement patterns during gameplay. A previous pilot study employed machine learning analysis of motor patterns recorded from children 3–5 years old. It identified those with ASD from age-matched and gender-matched controls with 93% accuracy, presenting an attractive assessment method suitable for use in the home, clinic or classroom. METHODS AND ANALYSIS: This is a phase III prospective, diagnostic classification study designed according to the Standards for Reporting Diagnostic Accuracy Studies guidelines. Three cohorts are investigated: children typically developing (TD); children with a clinical diagnosis of ASD and children with a diagnosis of another neurodevelopmental disorder (OND) that is not ASD. The study will be completed in Glasgow, UK and Gothenburg, Sweden. The recruitment target is 760 children (280 TD, 280 ASD and 200 OND). Children play two games on the iPad then a third party data acquisition and analysis algorithm (Play.Care, Harimata) will classify the data as positively or negatively associated with ASD. The results are blind until data collection is complete, when the algorithm’s classification will be compared against medical diagnosis. Furthermore, parents of participants in the ASD and OND groups will complete three questionnaires: Strengths and Difficulties Questionnaire; Early Symptomatic Syndromes Eliciting Neurodevelopmental Clinical Examinations Questionnaire and the Adaptive Behavioural Assessment System-3 or Vineland Adaptive Behavior Scales-II. The primary outcome measure is sensitivity and specificity of Play.Care to differentiate ASD children from TD children. Secondary outcomes measures include the accuracy of Play.Care to differentiate ASD children from OND children. ETHICS AND DISSEMINATION: This study was approved by the West of Scotland Research Ethics Service Committee 3 and the University of Strathclyde Ethics Committee. Results will be disseminated in peer-reviewed publications and at international scientific conferences. TRIAL REGISTRATION NUMBER: NCT03438994; Pre-results.
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spelling pubmed-66615822019-08-07 Phase 3 diagnostic evaluation of a smart tablet serious game to identify autism in 760 children 3–5 years old in Sweden and the United Kingdom Millar, Lindsay McConnachie, Alex Minnis, Helen Wilson, Philip Thompson, Lucy Anzulewicz, Anna Sobota, Krzysztof Rowe, Philip Gillberg, Christopher Delafield-Butt, Jonathan BMJ Open Paediatrics INTRODUCTION: Recent evidence suggests an underlying movement disruption may be a core component of autism spectrum disorder (ASD) and a new, accessible early biomarker. Mobile smart technologies such as iPads contain inertial movement and touch screen sensors capable of recording subsecond movement patterns during gameplay. A previous pilot study employed machine learning analysis of motor patterns recorded from children 3–5 years old. It identified those with ASD from age-matched and gender-matched controls with 93% accuracy, presenting an attractive assessment method suitable for use in the home, clinic or classroom. METHODS AND ANALYSIS: This is a phase III prospective, diagnostic classification study designed according to the Standards for Reporting Diagnostic Accuracy Studies guidelines. Three cohorts are investigated: children typically developing (TD); children with a clinical diagnosis of ASD and children with a diagnosis of another neurodevelopmental disorder (OND) that is not ASD. The study will be completed in Glasgow, UK and Gothenburg, Sweden. The recruitment target is 760 children (280 TD, 280 ASD and 200 OND). Children play two games on the iPad then a third party data acquisition and analysis algorithm (Play.Care, Harimata) will classify the data as positively or negatively associated with ASD. The results are blind until data collection is complete, when the algorithm’s classification will be compared against medical diagnosis. Furthermore, parents of participants in the ASD and OND groups will complete three questionnaires: Strengths and Difficulties Questionnaire; Early Symptomatic Syndromes Eliciting Neurodevelopmental Clinical Examinations Questionnaire and the Adaptive Behavioural Assessment System-3 or Vineland Adaptive Behavior Scales-II. The primary outcome measure is sensitivity and specificity of Play.Care to differentiate ASD children from TD children. Secondary outcomes measures include the accuracy of Play.Care to differentiate ASD children from OND children. ETHICS AND DISSEMINATION: This study was approved by the West of Scotland Research Ethics Service Committee 3 and the University of Strathclyde Ethics Committee. Results will be disseminated in peer-reviewed publications and at international scientific conferences. TRIAL REGISTRATION NUMBER: NCT03438994; Pre-results. BMJ Publishing Group 2019-07-16 /pmc/articles/PMC6661582/ /pubmed/31315858 http://dx.doi.org/10.1136/bmjopen-2018-026226 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Paediatrics
Millar, Lindsay
McConnachie, Alex
Minnis, Helen
Wilson, Philip
Thompson, Lucy
Anzulewicz, Anna
Sobota, Krzysztof
Rowe, Philip
Gillberg, Christopher
Delafield-Butt, Jonathan
Phase 3 diagnostic evaluation of a smart tablet serious game to identify autism in 760 children 3–5 years old in Sweden and the United Kingdom
title Phase 3 diagnostic evaluation of a smart tablet serious game to identify autism in 760 children 3–5 years old in Sweden and the United Kingdom
title_full Phase 3 diagnostic evaluation of a smart tablet serious game to identify autism in 760 children 3–5 years old in Sweden and the United Kingdom
title_fullStr Phase 3 diagnostic evaluation of a smart tablet serious game to identify autism in 760 children 3–5 years old in Sweden and the United Kingdom
title_full_unstemmed Phase 3 diagnostic evaluation of a smart tablet serious game to identify autism in 760 children 3–5 years old in Sweden and the United Kingdom
title_short Phase 3 diagnostic evaluation of a smart tablet serious game to identify autism in 760 children 3–5 years old in Sweden and the United Kingdom
title_sort phase 3 diagnostic evaluation of a smart tablet serious game to identify autism in 760 children 3–5 years old in sweden and the united kingdom
topic Paediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661582/
https://www.ncbi.nlm.nih.gov/pubmed/31315858
http://dx.doi.org/10.1136/bmjopen-2018-026226
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