ArticleJournal of autism and developmental disorders2023
Predicting Language in Children with ASD Using Spontaneous Language Samples and Standardized Measures.
Article in Journal of autism and developmental disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
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Who cites it
7 citing papers in PubMed.
- Multimodal predictors of spoken vocabulary development in autism: the role of early childhood brain and behavior.Translational psychiatry · 2026Article
- Proportion and Profile of Autistic Children Not Acquiring Spoken Language Despite Receiving Evidence-Based Early Interventions.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53 · 2025Article
- Autistic Individuals' Categorical Induction Abilities Improve by Mid-Adolescence.Journal of autism and developmental disorders · 2025Article
- Central Executive and Default Mode Networks: An Appraisal of Executive Function and Social Skill Brain-Behavior Correlates in Youth with Autism Spectrum Disorder.Journal of autism and developmental disorders · 2024Article
- Say that again: Quantifying patterns of production for children with autism using recurrence analysis.Frontiers in psychology · 2022Article
- The State of Natural Language Sampling in Autism Research: A Scoping Review.Autism & developmental language impairmentsReview
- Factors associated with receptive and expressive language in autistic children and siblings: A systematic review.Autism & developmental language impairmentsReview
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
This longitudinal study examined the degree to which standardized measures of language and natural language samples predicted later language usage in a heterogeneous sample of children with autism spectrum disorder (ASD), and how this relationship is impacted by ASD severity and interventions. Participants with a diagnosis of ASD (N = 54, 41 males) completed standardized assessments of language and social functioning; natural language samples were transcribed from play-based interactions. Findings indicated that standardized language measures, natural language measures, and ADOS severity were each unique predictors of later lexical use. Intervention types also appeared to impact later language; in particular, participation in mainstream inclusion accounted for significant amounts of variance in children's mean length of utterance at T3.
Indexed as
Identifiers
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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.