Evidence map›Paper›PMID 28296973›Full record

ArticlePloS one2017

Quantitative analysis of disfluency in children with autism spectrum disorder or language impairment.

Heather MacFarlane, Kyle Gorman, Rosemary Ingham, Alison Presmanes Hill, Katina Papadakis, Géza Kiss, Jan van Santen

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

  1. The Topography of Disfluency in Spoken Language: A Scoping Review.Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Combining voice and language features improves automated autism detection.Autism research : official journal of the International Society for Autism Research · 2022
    Article
  10. Article
  11. Article
  12. Brief Report: "Um" Fillers Distinguish Children With and Without ASD.Journal of autism and developmental disorders · 2020
    Article
  13. 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

7 authors at 1 institution in 1 country.

Heather MacFarlaneCenter for Spoken Language Understanding, Institute on Development & Disability, Oregon Health & Science University, Portland, Oregon, United States of America.ORCID http://orcid.org/0000-0003-3834-2340
Kyle GormanCenter for Spoken Language Understanding, Institute on Development & Disability, Oregon Health & Science University, Portland, Oregon, United States of America.
Rosemary InghamCenter for Spoken Language Understanding, Institute on Development & Disability, Oregon Health & Science University, Portland, Oregon, United States of America.
Alison Presmanes HillCenter for Spoken Language Understanding, Institute on Development & Disability, Oregon Health & Science University, Portland, Oregon, United States of America.
Katina PapadakisCenter for Spoken Language Understanding, Institute on Development & Disability, Oregon Health & Science University, Portland, Oregon, United States of America.
Géza KissCenter for Spoken Language Understanding, Institute on Development & Disability, Oregon Health & Science University, Portland, Oregon, United States of America.
Jan van SantenCenter for Spoken Language Understanding, Institute on Development & Disability, Oregon Health & Science University, Portland, Oregon, United States of America.
Oregon Health & Science University · US

Funding

Computational characterization of language use in autism spectrum disorderR01DC012033 · NIDCD · OREGON HEALTH & SCIENCE UNIVERSITY · PI FOMBONNE, ERIC · 2011 to 2021
$6.7M
Expressive and Receptive Prosody in AutismR01DC007129 · NIDCD · OREGON HEALTH & SCIENCE UNIVERSITY · PI VAN SANTEN, JAN P · 2005 to 2009
$2.8M
NIDCD NIH HHS R01 DC007129NIDCD NIH HHS R01 DC012033
6 · The paper itself

Abstract

Deficits in social communication, particularly pragmatic language, are characteristic of individuals with autism spectrum disorder (ASD). Speech disfluencies may serve pragmatic functions such as cueing speaking problems. Previous studies have found that speakers with ASD differ from typically developing (TD) speakers in the types and patterns of disfluencies they produce, but fail to provide sufficiently detailed characterizations of the methods used to categorize and quantify disfluency, making cross-study comparison difficult. In this study we propose a simple schema for classifying major disfluency types, and use this schema in an exploratory analysis of differences in disfluency rates and patterns among children with ASD compared to TD and language impaired (SLI) groups. 115 children ages 4-8 participated in the study (ASD = 51; SLI = 20; TD = 44), completing a battery of experimental tasks and assessments. Measures of morphological and syntactic complexity, as well as word and disfluency counts, were derived from transcripts of the Autism Diagnostic Observation Schedule (ADOS). High inter-annotator agreement was obtained with the use of the proposed schema. Analyses showed ASD children produced a higher ratio of content to filler disfluencies than TD children. Relative frequencies of repetitions, revisions, and false starts did not differ significantly between groups. TD children also produced more cued disfluencies than ASD children.

Indexed as

Autism Spectrum DisorderChildChild, PreschoolFemaleHumansLanguage DisordersMale

Identifiers

PMID28296973
PMCPMC5352011
OpenAlexW2601558174

What OpenQuestion 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 OpenQuestion graph.