Evidence map›Paper›PMID 34788890›Full record

ArticleApplied clinical informatics2021

A Mobile Game Platform for Improving Social Communication in Children with Autism: A Feasibility Study.

Yordan Penev, Kaitlyn Dunlap, Arman Husic, Cathy Hou, Peter Washington, Emilie Leblanc, Aaron Kline, John Kent, Anthony Ng-Thow-Hing, Bennett Liu and 4 more

Abstract read
In one paragraph

Article in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

14 authors.

Yordan PenevDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
Kaitlyn DunlapDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
Arman HusicDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
Cathy HouDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
Peter WashingtonDepartment of Bioengineering, Stanford University, Stanford, California, United States.
Emilie LeblancDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
Aaron KlineDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
John KentDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
Anthony Ng-Thow-HingDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
Bennett LiuDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
Christopher HarjadiDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
Meagan TsouDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.
Manisha DesaiDepartment of Biomedical Data Science, Stanford University, Stanford, California, United States.
Dennis P WallDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California, United States.

Funding

A Mobile Game for Domain Adaptation and Deep Learning in Autism HealthcareR01LM013364 · NLM · STANFORD UNIVERSITY · PI WALL, DENNIS PAUL · 2021 to 2025
$3.2M
Creating an artificial intelligence therapy-to-data feedback loop for child developmental healthcareR01LM013083 · NLM · STANFORD UNIVERSITY · PI WALL, DENNIS PAUL · 2019 to 2022
$2.6M
QuBBD: Wearable artificial intelligence for bid data-driven healthcare in child development R01EB025025 · NIBIB · STANFORD UNIVERSITY · PI WALL, DENNIS PAUL · 2017 to 2019
$1.1M
Evaluation of machine learning to mobilize detection and therapy of developmental delay in childrenR21HD091500 · NICHD · STANFORD UNIVERSITY · PI WALL, DENNIS PAUL · 2017 to 2018
$432k
1R01EB025025-01 National Institutes of Health1R01LM013083 National Institutes of Health1R21HD091500-01 National Institutes of Health2014232 National Science FoundationNIBIB NIH HHS R01 EB025025NICHD NIH HHS R21 HD091500NLM NIH HHS R01 LM013083NLM NIH HHS R01 LM013364
6 · The paper itself

Abstract

backgroundMany children with autism cannot receive timely in-person diagnosis and therapy, especially in situations where access is limited by geography, socioeconomics, or global health concerns such as the current COVD-19 pandemic. Mobile solutions that work outside of traditional clinical environments can safeguard against gaps in access to quality care.

objectiveThe aim of the study is to examine the engagement level and therapeutic feasibility of a mobile game platform for children with autism.

methodsWe designed a mobile application,

resultsWe examined the therapeutic feasibility of

conclusionThe results support that the

Indexed as

Autistic DisorderMobile ApplicationsVideo GamesChildCommunicationFeasibility StudiesFemaleHumansMale

Identifiers

PMID34788890
PMCPMC8598393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.