Evidence map›Paper›PMID 29796238›Full record

Trial reportMolecular autism2018

Robot-based intervention may reduce delay in the production of intransitive gestures in Chinese-speaking preschoolers with autism spectrum disorder.

Wing-Chee So, Miranda Kit-Yi Wong, Wan-Yi Lam, Chun-Ho Cheng, Jia-Hao Yang, Ying Huang, Phoebe Ng, Wai-Leung Wong, Chiu-Lok Ho, Kit-Ling Yeung and 1 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Molecular autism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 4 pooled it
2.9field-weighted citation impact, top 9% of its field
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

14 citing papers in PubMed, 4 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Wing-Chee SoDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Miranda Kit-Yi WongDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Wan-Yi LamDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Chun-Ho ChengDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Jia-Hao YangDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Ying HuangDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Phoebe NgDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Wai-Leung WongDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Chiu-Lok HoDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Kit-Ling YeungDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Cheuk-Chi LeeDepartment of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
Chinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Past studies have shown that robot-based intervention was effective in improving gestural use in children with autism spectrum disorders (ASD). The present study examined whether children with ASD could catch up to the level of gestural production found in age-matched children with typical development and whether they showed an increase in verbal imitation after the completion of robot-based training. We also explored the cognitive and motor skills associated with gestural learning. Methods: Children with ASD were randomly assigned to two groups. Four- to 6-year-old children with ASD in the intervention group ( Results: Children with ASD in the intervention condition were more likely to produce accurate or appropriate intransitive gestures in training and novel stories than those in the wait-list control. The positive learning outcomes were maintained in the delayed posttests. The level of gestural production accuracy in children with ASD in the delayed posttest of novel stories was comparable to that in children with typical development, suggesting that children with ASD could catch up to the level of gestural production found in children with typical development. Children with ASD in the intervention condition were also more likely to produce verbal markers while gesturing than those in the wait-list control. Gestural recognition skills were found to significantly predict the learning of gestural production accuracy in the children with ASD, with such relation partially mediated via spontaneous imitation. Conclusions: Robot-based intervention may reduce the gestural delay in children with ASD in their early childhood.

Indexed as

GesturesAsian PeopleAutism Spectrum DisorderChildChild DevelopmentChild, PreschoolEarly Intervention, EducationalFemaleHumansLanguageMaleRoboticsAutism spectrum disorderEarly childhoodGestureRobot-based intervention

Identifiers

PMID29796238
PMCPMC5966929
OpenAlexW2805687000

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.