Evidence map›Paper›PMID 25076005›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2014

Data-driven subclassification of speech sound disorders in preschool children.

Jennell C Vick, Thomas F Campbell, Lawrence D Shriberg, Jordan R Green, Klaus Truemper, Heather Leavy Rusiewicz, Christopher A Moore

Open access · greenAbstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Process-Oriented Profiling of Speech Sound Disorders.Children (Basel, Switzerland) · 2022
    Article
  6. Article
  7. Article
  8. Computer-Assisted Syllable Complexity Analysis of Continuous Speech as a Measure of Child Speech Disorders.Proceedings of the ... International Congress of Phonetic Sciences. International Congress of Phonetic Sciences · 2019
    Article
  9. Article
  10. Article
  11. Review
  12. Data-Driven Classification of Dysarthria Profiles in Children With Cerebral Palsy.Journal of speech, language, and hearing research : JSLHR · 2018
    Article
  13. Phonological encoding in speech-sound disorder: evidence from a cross-modal priming experiment.International journal of language & communication disorders · 2017
    Article
  14. Review
  15. Article
  16. 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 4 institutions in 1 country.

Jennell C Vick
Thomas F Campbell
Lawrence D Shriberg
Jordan R Green
Klaus Truemper
Heather Leavy Rusiewicz
Christopher A Moore
Google (United States) · USCase Western Reserve University · USDuquesne University · USUniversity of Wisconsin–Madison · US

Funding

WISCONSIN CENTER ON MENTAL RETARDATION: CORE SUPPORTP30HD003352 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI SVAREN, JOHN P · 1985 to 2015
$25.2M
PHYSIOLOGIC DEVELOPMENT OF SPEECH PRODUCTIONR01DC000822 · NIDCD · UNIVERSITY OF WASHINGTON · PI SPENCER, KRISTIE A · 1998 to 2005
$2.8M
NICHD NIH HHS P30 HD003352NIDCD NIH HHS R01 DC000822NIDCD NIH HHS R01 DC00822
6 · The paper itself

Abstract

purposeThe purpose of the study was to determine whether distinct subgroups of preschool children with speech sound disorders (SSD) could be identified using a subgroup discovery algorithm (SUBgroup discovery via Alternate Random Processes, or SUBARP). Of specific interest was finding evidence of a subgroup of SSD exhibiting performance consistent with atypical speech motor control.

methodNinety-seven preschool children with SSD completed speech and nonspeech tasks. Fifty-three kinematic, acoustic, and behavioral measures from these tasks were input to SUBARP.

resultsTwo distinct subgroups were identified from the larger sample. The 1st subgroup (76%; population prevalence estimate = 67.8%-84.8%) did not have characteristics that would suggest atypical speech motor control. The 2nd subgroup (10.3%; population prevalence estimate = 4.3%-16.5%) exhibited significantly higher variability in measures of articulatory kinematics and poor ability to imitate iambic lexical stress, suggesting atypical speech motor control. Both subgroups were consistent with classes of SSD in the Speech Disorders Classification System (SDCS; Shriberg et al., 2010a).

conclusionCharacteristics of children in the larger subgroup were consistent with the proportionally large SDCS class termed speech delay; characteristics of children in the smaller subgroup were consistent with the SDCS subtype termed motor speech disorder-not otherwise specified. The authors identified candidate measures to identify children in each of these groups.

Indexed as

AlgorithmsBiomechanical PhenomenaChild, PreschoolFemaleHumansLanguage Development DisordersMalePhoneticsSpeechSpeech Production MeasurementSpeech Sound Disorder

Identifiers

PMID25076005
PMCPMC4300961
OpenAlexW1969556500

What OpenQuestion holds

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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.