Evidence map›Paper›PMID 40099346›Full record

ArticleAutism research : official journal of the International Society for Autism Research2025

Paths to Common Ground in ASD.

Einat Karin, Nirit Bauminger Zviely, Yael Estrugo, Maya Sabag, Ronny Geva

Abstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Einat KarinFaculty of Education, Bar-Ilan University, Ramat-Gan, Israel.
Nirit Bauminger ZvielyFaculty of Education, Bar-Ilan University, Ramat-Gan, Israel.ORCID 0000-0002-8153-3575
Yael EstrugoFaculty of Education, Bar-Ilan University, Ramat-Gan, Israel.
Maya SabagDepartment of Psychology, Bar-Ilan University, Ramat-Gan, Israel.
Ronny GevaDepartment of Psychology, Bar-Ilan University, Ramat-Gan, Israel.ORCID 0000-0002-5724-2153

Funding

Israel Science Foundation
6 · The paper itself

Abstract

Common ground (CG), the shared contextual knowledge serving everyday situations like conversations, is crucial for effective communication. This study delved into CG generation between peers with autism spectrum disorder (ASD, N = 84) compared to Controls (N = 56) children and adolescents (ages 6-16 years) paired into peer dyads. We aimed to deepen the understanding of the mechanism involved in CG efficacy among peers by exploring the roles of Theory of Mind (ToM) and Vocabulary in CG formation during play. Participants engaged in a structured task probing CG production in an ambiguous setting. Findings show that ASD and Control dyads generate CG spontaneously, yet the Control group demonstrated greater efficiency by achieving common conceptualization faster and with fewer words. Age and CG measures were correlated, outlining CG development, and Path analysis models suggested independent contributions from Vocabulary and ToM to CG efficiency. Limitations include the task's structured nature, precluding a comprehensive assessment of language and visual perception abilities. Taken together, the findings highlight the potential for interventions targeting CG acquisition in ASD, which is crucial for daily life participation. Interventions could harness cognitive processes like vocabulary and ToM to enhance dialogue efficacy among children with ASD.

Indexed as

Autism Spectrum DisorderCommunicationTheory of MindVocabularyAdolescentChildFemaleHumansMalePeer Groupautismcommon groundsocial interaction

Identifiers

PMID40099346
PMCPMC12015796

What OpenQuestion holds

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Registered trials

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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.