ArticleBMJ open2019
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.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03438994 (Toward Early Autism Assessment), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Toward Early Autism Assessment: A Prospective Diagnostic Accuracy Study
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Digital tools for direct assessment of autism risk during early childhood: A systematic review.Autism : the international journal of research and practice · 2024Pooled it
- Motor organisation of social play in children with autism.Journal of the Royal Society, Interface · 2025Article
- Motor Control Adherence to the Two-thirds Power Law Differs in Autistic Development.Journal of autism and developmental disorders · 2025Article
- Provider perspectives on equity in use of mobile health autism screening tools.Autism : the international journal of research and practice · 2024Article
- A tablet-based game for the assessment of visual motor skills in autistic children.NPJ digital medicine · 2023Article
- The current landscape and future of tablet-based cognitive assessments for children in low-resourced settings.PLOS digital health · 2023Review
- The use of a tablet-based app for investigating the influence of autistic and ADHD traits on performance in a complex drawing task.Behavior research methods · 2022Article
- Developmental differences in the prospective organisation of goal-directed movement between children with autism and typically developing children: A smart tablet serious game study.Developmental science · 2022Article
- Impacts on Context Aware Systems in Evidence-Based Health Informatics: A Review.Healthcare (Basel, Switzerland) · 2022Review
- Parental Report via a Mobile App in the Context of Early Language Trajectories: StarWords Study Protocol.International journal of environmental research and public health · 2022Article
- Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review.Yonsei medical journal · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRecent 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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Registered trials
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.