Evidence map›Paper›PMID 40690785›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2025

Exploring Methodological Decisions for Calculating the Minimally Detectable Change in Dysarthria: Reliability, Statistics, and Standard Error of Measurement.

Kelly E Gates, Antje S Mefferd, Kaila L Stipancic

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

3 authors.

Kelly E GatesDepartment of Communicative Disorders and Sciences, University at Buffalo, NY.ORCID 0009-0007-8562-4857
Antje S MefferdDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN.ORCID 0000-0003-0595-6717
Kaila L StipancicDepartment of Communicative Disorders and Sciences, University at Buffalo, NY.ORCID 0000-0001-5185-563X

Funding

A taxonomic articulation-focused approach to dysarthria classificationR01DC019648 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Antje Mefferd · 2022 to 2026
$2.3M
Tongue- and Jaw-Specific Contributions to Vowel Acoustic Changes: Towards a Mechanistic Model of Intelligibility Loss and Recovery in DysarthriaR03DC015075 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MEFFERD, ANTJE · 2016 to 2018
$474k
NIDCD NIH HHS R01 DC019648NIDCD NIH HHS R03 DC015075
6 · The paper itself

Abstract

purposeThe minimally detectable change (MDC), widely used in rehabilitation sciences to interpret changes in outcome measures, is calculated using a reliability method, reliability statistic, and standard error of measurement (

methodRecordings of the Speech Intelligibility Test from 200 speakers including speakers with amyotrophic lateral sclerosis (

resultsSignificant differences were found between the MDCs when using split-half and test-retest reliability, when using Pearson

conclusionsResults demonstrate that methodological decisions can impact MDCs of speech intelligibility in speakers with dysarthria, highlighting the need for specific, detailed reporting of methodology used to calculate MDCs in future work. Findings can provide methodological guidance for future studies and contextualize existing research on intelligibility changes.

Indexed as

DysarthriaSpeech IntelligibilityAdultAgedAmyotrophic Lateral SclerosisFemaleHumansHuntington DiseaseMaleMiddle AgedMultiple SclerosisParkinson DiseaseReproducibility of ResultsSpeech Production Measurement

Identifiers

PMID40690785
PMCPMC12384892

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.