Evidence map›Paper›PMID 31315858›Full record

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.

Lindsay Millar, Alex McConnachie, Helen Minnis, Philip Wilson, Lucy Thompson, Anna Anzulewicz, Krzysztof Sobota, Philip Rowe, Christopher Gillberg, Jonathan Delafield-Butt

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT03438994 nacompletednot on this map

Toward Early Autism Assessment: A Prospective Diagnostic Accuracy Study

TypeinterventionalSponsorUniversity of StrathclydeRan2018 to 2019Enrolled779ConditionsAutism Spectrum Disorder, Other Neurodevelopmental DisorderArmsPlay.Care
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Digital tools for direct assessment of autism risk during early childhood: A systematic review.Autism : the international journal of research and practice · 2024
    Pooled it
  2. Motor organisation of social play in children with autism.Journal of the Royal Society, Interface · 2025
    Article
  3. Article
  4. Provider perspectives on equity in use of mobile health autism screening tools.Autism : the international journal of research and practice · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Parental Report via a Mobile App in the Context of Early Language Trajectories: StarWords Study Protocol.International journal of environmental research and public health · 2022
    Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lindsay MillarLaboratory for Innovation in Autism, University of Strathclyde, Glasgow, UK.ORCID 0000-0001-7600-9907
Alex McConnachieRobertson Centre for Biostatistics, University of Glasgow, Glasgow, UK.
Helen MinnisMental Health and Wellbeing, University of Glasgow, Glasgow, UK.
Philip WilsonCentre for Rural Health, University of Aberdeen, Aberdeen, UK.
Lucy ThompsonCentre for Rural Health, University of Aberdeen, Aberdeen, UK.
Anna AnzulewiczHarimata sp. z o.o., Kraków, Poland.
Krzysztof SobotaHarimata sp. z o.o., Kraków, Poland.
Philip RoweLaboratory for Innovation in Autism, University of Strathclyde, Glasgow, UK.
Christopher GillbergMental Health and Wellbeing, University of Glasgow, Glasgow, UK.
Jonathan Delafield-ButtLaboratory for Innovation in Autism, University of Strathclyde, Glasgow, UK.ORCID 0000-0002-8881-8821

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Video GamesAutistic DisorderChild, PreschoolClinical Trials, Phase III as TopicFemaleHumansMaleProspective StudiesSwedenUnited Kingdomautismdiagnosisdigital healthmachine learningmotor controlsmart technology

Identifiers

PMID31315858
PMCPMC6661582

What OpenQuestion holds

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LicenceCC BY-NC
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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.