Evidence map›Paper›PMID 39292918›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2024

Tipping the Scales: Indiscriminate Use of Interval Scales to Rate Diverse Dysarthric Features.

Kaila L Stipancic, Brooke-Mai Whelan, Lauren Laur, Yunxin Zhao, Andrea Rohl, Inyong Choi, Mili Kuruvilla-Dugdale

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

3 citing papers in PubMed.

  1. Article
  2. Listener Ratings of Stuttering: Evaluating Two Auditory-Perceptual Scales.Journal of speech, language, and hearing research : JSLHR · 2026
    Article
  3. 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.

Kaila L StipancicDepartment of Communicative Sciences and Disorders, University at Buffalo, NY.ORCID 0000-0001-5185-563X
Brooke-Mai WhelanDivision of Speech Pathology, University of Queensland, Brisbane, Australia.
Lauren LaurDepartment of Speech, Language and Hearing Sciences, University of Missouri, Columbia.
Yunxin ZhaoDepartment of Electrical Engineering and Computer Science, University of Missouri, Columbia.
Andrea RohlDepartment of Neurosurgery, The University of Iowa, Iowa City.
Inyong ChoiDepartment of Communication Sciences and Disorders, The University of Iowa, Iowa City.
Mili Kuruvilla-DugdaleDepartment of Communication Sciences and Disorders, The University of Iowa, Iowa City.ORCID 0000-0001-7900-2364

Funding

A Systematic Investigation of Phonetic Complexity Effects on Articulatory Motor Performance in Progressive DysarthriaR15DC016383 · NIDCD · UNIVERSITY OF MISSOURI-COLUMBIA · PI KURUVILLA-DUGDALE, MILI · 2017 to 2017
$427k
Generating Personalized Synthetic Speech for Progressive Dysarthria Using Severity-Appropriate Adaptation Strategies for Neural Text-to-Speech and Voice ConversionR21DC019952 · NIDCD · UNIVERSITY OF MISSOURI-COLUMBIA · PI KURUVILLA-DUGDALE, MILI, ZHAO, YUNXIN · 2022 to 2023
$416k
NIDCD NIH HHS R15 DC016383NIDCD NIH HHS R21 DC019952
6 · The paper itself

Abstract

purposeError related to incorrect use of rating scales is problematic in the assessment and treatment of dysarthria. The main purpose of this project was to determine scale fit for cardinal speech features of hypokinetic dysarthria. A secondary aim was to determine rater reliability for the two different scales explored.

methodForty-three speakers with Parkinson's disease (PD) and 25 neurologically healthy control talkers were recorded reading sentences from the Speech Intelligibility Test. Twenty-two healthy female listeners used both an equal appearing interval (EAI) scale and a direct magnitude estimation (DME) scale to rate five perceptual speech features (i.e., overall speech severity, articulatory imprecision, reduced loudness, short rushes of speech, and monotony) from these recordings. Regression analyses were used to determine the linearity of the relationship between the means of the EAI and DME ratings. Inter- and intrarater reliability was calculated using intraclass correlation coefficients and Spearman's correlation coefficients, respectively, for both EAI and DME ratings.

resultsThere was a linear relationship between EAI and DME means for monotony, indicating it is a metathetic dimension. Curvilinear relationships were observed between the EAI and DME means for the other four features, indicating prothetic dimensions. Intra- and interrater reliability values were similar for EAI and DME ratings. DISCUSSION: Overall, results of this work suggest that DME is the best fit for scaling several hypokinetic dysarthria features, and not the conventionally used EAI scale. Prothetic dimensions best scaled by DME include overall speech severity, articulatory imprecision, reduced loudness, and short rushes of speech. Monotony was the only feature found to be a metathetic dimension and would be best scaled using EAI or DME. Findings call for rethinking the widespread use of EAI scales for rating perceptual features as part of the assessment and treatment of motor speech disorders.

Indexed as

DysarthriaParkinson DiseaseSeverity of Illness IndexSpeech IntelligibilitySpeech Production MeasurementAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedObserver VariationReproducibility of Results

Identifiers

PMID39292918
PMCPMC11482572

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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.