Evidence map›Paper›PMID 36706456›Full record

ArticleAmerican journal of speech-language pathology2023

Lexical and Morphosyntactic Profiles of Autistic Youth With Minimal or Low Spoken Language Skills.

Lindsay K Butler, Lue Shen, Karen V Chenausky, Chelsea La Valle, Sophie Schwartz, Helen Tager-Flusberg

Open access · greenAbstract read
In one paragraph

Article in American journal of speech-language pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Longitudinal Analyses of Early Verb Production in Autism Spectrum Disorder.Journal of autism and developmental disorders · 2025
    Article
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  7. Article
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  10. Fine motor skill and expressive language in minimally verbal and verbal school-aged autistic children.Autism research : official journal of the International Society for Autism Research · 2023
    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

6 authors at 1 institution in 1 country.

Lindsay K ButlerDepartment of Psychological & Brain Sciences, Boston University, MA.ORCID 0000-0003-4106-1849
Lue ShenDepartment of Psychological & Brain Sciences, Boston University, MA.
Karen V ChenauskyDepartment of Psychological & Brain Sciences, Boston University, MA.ORCID 0000-0002-4294-9228
Chelsea La ValleDepartment of Psychological & Brain Sciences, Boston University, MA.
Sophie SchwartzDepartment of Psychological & Brain Sciences, Boston University, MA.
Helen Tager-FlusbergDepartment of Psychological & Brain Sciences, Boston University, MA.ORCID 0000-0002-8768-5414
Boston University · US

Funding

Predicting and Otimizing Language Outcomes in Minimally Verbal Children with Autism Spectrum DisorderP50DC018006 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KASARI, CONNIE L., TAGER-FLUSBERG, HELEN · 2019 to 2023
$12.3M
Advanced Research Training in Communication Sciences and DisordersT32DC013017 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Cara E. Stepp · 2016 to 2026
$4.9M
NIDCD NIH HHS P50 DC018006NIDCD NIH HHS T32 DC013017
6 · The paper itself

Abstract

purposeAutistic youth who are minimally or low verbal are underrepresented in research leaving little to no evidence base for supporting them and their families. To date, few studies have examined the types of words and word combinations these individuals use. The purpose of this study was to take a strengths-based approach to outline descriptive profiles of autistic youth who use few words and elucidate the lexical and morphosyntactic features of their spoken language.

methodWe analyzed language samples from 49 autistic youth ages 6-21 years who used fewer than 200 words. Systematic Analysis of Language Transcripts was used to investigate the relationship between number of different words (NDW) and proportion of nouns and verbs (vs. other word classes), mean length of utterance in morphemes (MLUm), and the frequency of early developing morphosyntactic structures. We used linear regression to quantify the relationship between NDW and lexical and morphosyntactic features.

resultsProportion of nouns and verbs produced did not increase significantly in those with higher NDW. Conversely, MLUm and the frequency of early developing morphosyntactic structures increased significantly in those with higher NDW.

conclusionsYouth with higher NDW did not produce more nouns and verbs, suggesting lexical profiles that are not aligned with spoken vocabulary level. Youth with higher NDW had higher MLUm and more early morphosyntactic forms, suggesting that morphosyntactic profiles align with spoken vocabulary level. We discuss the implications for improving clinical services related to spoken language.

Indexed as

Autistic DisorderAdolescentAdultChildChild LanguageHumansLanguageLanguage DevelopmentVocabularyYoung Adult

Identifiers

PMID36706456
PMCPMC10171852
OpenAlexW4318261672

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.