Evidence map›Paper›PMID 39888554›Full record

ArticleJournal of autism and developmental disorders2026

What Predicts Early Math in Autism? A Study of Cognitive and Linguistic Factors.

Raúl Fernández-Cobos, Irene Polo-Blanco, Elena Castroviejo, Maria Juncal-Ruiz, Agustín Vicente

Abstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Counting, Cardinality and Conservation in Autistic Children.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  2. Article
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

5 authors.

Raúl Fernández-CobosDepartment of Mathematics, Statistics and Computer Science, Universidad de Cantabria, Avda. de los Castros 48, Santander, 39005, Spain. raul.fernandezcobos@unican.es.ORCID https://orcid.org/0000-0001-6185-7903
Irene Polo-BlancoDepartment of Mathematics, Statistics and Computer Science, Universidad de Cantabria, Avda. de los Castros 48, Santander, 39005, Spain.
Elena CastroviejoDepartment of Linguistics and Basque Studies, Universidad del País Vasco (UPV/EHU), Paseo de la Universidad 5, Vitoria-Gasteiz, 01006, Spain.
Maria Juncal-RuizDepartment of Psychiatry (Child and Adolescent Mental Health Unit), Sierrallana Hospital, Torrelavega, Spain. maria.juncal@scsalud.es.
Agustín VicenteDepartment of Linguistics and Basque Studies, Universidad del País Vasco (UPV/EHU), Paseo de la Universidad 5, Vitoria-Gasteiz, 01006, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine early mathematical abilities in young children with autism aged four to seven without intellectual disabilities and their connection with autism severity, non-verbal intelligence, and linguistic abilities (receptive vocabulary and grammar). The study involved 42 children with autism. We assessed participants' cognitive, mathematical, and linguistic abilities. Their mathematical performance was compared with that of typically developing children using standardized measures. Statistical analyses were conducted to identify potential cognitive or linguistic differences across groups based on mathematical performance, and to determine predictive factors for mathematical abilities in children with autism. The findings indicated a higher prevalence of mathematical difficulties among the participants compared to typically developing children. A classification based on mathematical performance revealed statistically significant differences in cognitive and linguistic variables across groups, particularly in the low-performance group. However, no significant differences were found according to autism severity between the groups. The analysis further identified that a combination of visuo-spatial and linguistic abilities was the most predictive factor for mathematical performance. The study suggests that young children with autism without intellectual disabilities may be more likely to experience mathematical difficulties compared to typically developing children. Assessing cognitive and linguistic abilities could serve as a predictive measure for mathematical difficulties of children with autism, even without a formal diagnosis. Future research, with larger samples or longitudinal approaches, could validate these findings or explore which specific mathematical abilities are more related to non-verbal intelligence and which ones to structural language.

Indexed as

Autistic DisorderCognitionMathematicsChildChild, PreschoolFemaleHumansIntelligenceLinguisticsMaleSeverity of Illness IndexAutismLanguageMathematicsNon-verbal intelligence

Identifiers

PMID39888554
PMCPMC13222179

What Socratic 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 Socratic graph.