Evidence map›Paper›PMID 30687159›Full record

ArticleFrontiers in psychology2018

Motor Skills as Moderators of Core Symptoms in Autism Spectrum Disorders: Preliminary Data From an Exploratory Analysis With Artificial Neural Networks.

Francesca Fulceri, Enzo Grossi, Annarita Contaldo, Antonio Narzisi, Fabio Apicella, Ilaria Parrini, Raffaella Tancredi, Sara Calderoni, Filippo Muratori

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05475132 (Effects of Exergaming on Bimanual Hand Dexterity in Autistic Children), which is not on this map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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.

NCT05475132 nacompletednot on this mapstarted 2022, after this paper: background citation

Effects of Exergaming on Bimanual Hand Dexterity in Autistic Children

TypeinterventionalSponsorRiphah International UniversityRan2022 to 2023Enrolled20ConditionsAutism Spectrum DisorderArmsExergaming, Conventional Dexterity Exercises
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline 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

9 authors.

Francesca FulceriResearch Coordination and Support Service, Istituto Superiore di Sanità, Rome, Italy.
Enzo GrossiAutism Research Unit, Villa Santa Maria Institute, Tavernerio, Italy.
Annarita ContaldoIRCCS Fondazione Stella Maris, Pisa, Italy.
Antonio NarzisiIRCCS Fondazione Stella Maris, Pisa, Italy.
Fabio ApicellaIRCCS Fondazione Stella Maris, Pisa, Italy.
Ilaria ParriniIRCCS Fondazione Stella Maris, Pisa, Italy.
Raffaella TancrediIRCCS Fondazione Stella Maris, Pisa, Italy.
Sara CalderoniIRCCS Fondazione Stella Maris, Pisa, Italy.
Filippo MuratoriIRCCS Fondazione Stella Maris, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor disturbances have been widely observed in children with autism spectrum disorder (ASD), and motor problems are currently reported as associated features supporting the diagnosis of ASD in the current Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Studies on this issue reported disturbances in different motor domains, including both gross and fine motor areas as well as coordination, postural control, and standing balance. However, they failed to clearly state whether motor impairments are related to demographical and developmental features of ASD. Both the different methodological approaches assessing motor skills and the heterogeneity in clinical features of participants analyzed have been implicated as contributors to variance in findings. However, the non-linearity of the relationships between variables may account for the inability of the traditional analysis to grasp the core problem suggesting that the "single symptom approach analysis" should be overcome. Artificial neural networks (ANNs) are computational adaptive systems inspired by the functioning processes of the human brain particularly adapted to solving non-linear problems. This study aimed to apply the ANNs to reveal the entire spectrum of the relationship between motor skills and clinical variables. Thirty-two male children with ASD [mean age: 48.5 months (

Indexed as

artificial neural networkautism spectrum disordersmotor impairmentsmotor skillsPeabody Developmental Motor Scalepreschoolersrepetitive behaviors

Identifiers

PMID30687159
PMCPMC6333655

What OpenQuestion holds

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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.