Evidence map›Paper›PMID 34268638›Full record

Trial reportJournal of autism and developmental disorders2022

Slowness Therapy for Children with Autism Spectrum Disorder: A Blind Longitudinal Randomized Controlled Study.

Bruno Gepner, Aurore Charrier, Thomas Arciszewski, Carole Tardif

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of autism and developmental disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

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

  1. Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta-Analysis.Autism research : official journal of the International Society for Autism Research · 2025
    Pooled it
  2. Article
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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

4 authors.

Bruno GepnerInstitut de Neurophysiopathologie (INP), CNRS UMR 7051, Aix-Marseille University, 27, Bd Jean Moulin, 13385, Marseille Cedex 05, France. bruno.gepner@univ-amu.fr.ORCID http://orcid.org/0000-0003-3165-6582
Aurore CharrierInstitut Médico-éducatif La Frégate, Aidera Var, Toulon, France.
Thomas ArciszewskiLaboratoire de Psychologie de la Connaissance, du Langage et de l'Emotion (PSYCLE), Aix-Marseille University, Aix-en-Provence, France.
Carole TardifLaboratoire de Psychologie de la Connaissance, du Langage et de l'Emotion (PSYCLE), Aix-Marseille University, Aix-en-Provence, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world often goes too fast for children with autism spectrum disorder (ASD) to process. We tested the therapeutic effectiveness of input slowing in children with ASD. Over 12 months, 12 children with ASD had weekly speech therapy sessions where stimuli were slowly played on a PC, while 11 age- and level-matched children with ASD had speech therapy using real-time stimuli. At the beginning and end of the study, all participants were assessed on communication, imitation, facial emotion recognition, behavior, and face exploration. Whereas communication and facial emotion recognition improved in both groups, imitation increased, inappropriate behaviors decreased, and time spent fixating mouth and eyes increased solely in the group using slowness. Slowness therapy seems very promising for ASD children.

Indexed as

Autism Spectrum DisorderFacial RecognitionChildCommunicationFaceHumansLongitudinal StudiesAutism spectrum disorderBehaviorEye-trackingImitationInput slowingSpeech therapy

Identifiers

What OpenQuestion holds

Textmetadata
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.