Evidence map›Paper›PMID 41458878›Full record

ReviewFrontiers in human neuroscience2025

Reevaluating the classification of pediatric speech sound disorders: a ground truthing perspective.

Aravind K Namasivayam, Raymond Kent, Jonathan L Preston, Ben A M Maassen, Christina Hagedorn, Ignatius S B Nip, Anita McAllister, Jun Wang, Katherine Hustad, Lucie Ménard and 4 more

Abstract readReview
In one paragraph

Review in Frontiers in human neuroscience, 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

14 authors.

Aravind K NamasivayamOral Dynamics Laboratory, Department of Speech-Language Pathology, University of Toronto, Toronto, ON, Canada.
Raymond KentUniversity of Wisconsin-Madison, Madison, WI, United States.
Jonathan L PrestonDepartment of Communication Sciences and Disorders, Syracuse University, Syracuse, NY, United States.
Ben A M MaassenCenter for Language and Cognition Groningen, University of Groningen, Groningen, Netherlands.
Christina HagedornLinguistics Program, College of Staten Island, City University of New York, Staten Island, NY, United States.
Ignatius S B NipSchool of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, CA, United States.
Anita McAllisterDivision of Speech-Language Pathology, CLINTEC, Karolinska Institutet, Stockholm, Sweden.
Jun WangDepartment of Speech, Language, and Hearing Sciences, Moody College of Communication, The University of Texas at Austin, Austin, TX, United States.
Katherine HustadDepartment of Communication Sciences and Disorders, Waisman Center, University of Wisconsin - Madison, Madison, WI, United States.
Lucie MénardDepartment of Linguistics, University of Quebec in Montreal, Montreal, QC, Canada.
Nilgoun BaharDepartment of Neurology, Dyslexia Center, UCSF, San Francisco, CA, United States.
Jennifer Golabek MooreBrave Wings Therapy, Fairfield, NJ, United States.
Julia PetrosovOral Dynamics Laboratory, Department of Speech-Language Pathology, University of Toronto, Toronto, ON, Canada.
Pascal van LieshoutOral Dynamics Laboratory, Department of Speech-Language Pathology, University of Toronto, Toronto, ON, Canada.

Funding

Communication Development in Children with Cerebral PalsyR01DC009411 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine C Hustad · 2008 to 2026
$9.4M
Waisman Center Intellectual and Developmental Disabilities Research CenterP50HD105353 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Qiang Chang · 2021 to 2026
$8.5M
Differential Diagnosis of Functional Speech Deficits in Children with Cerebral PalsyR01DC015653 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine C Hustad · 2016 to 2026
$4.8M
Quantifying articulatory performance in children with dysarthria: Development of an automated metric for clinical useR01DC019645 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI Visar Berisha, Katherine C Hustad · 2022 to 2026
$3.0M
NICHD NIH HHS P50 HD105353NIDCD NIH HHS R01 DC009411NIDCD NIH HHS R01 DC015653NIDCD NIH HHS R01 DC019645
6 · The paper itself

Abstract

Pediatric Speech Sound Disorders (SSDs) are conventionally diagnosed using auditory-perceptual assessments, heavily relying on International Phonetic Alphabet (IPA) transcriptions. This approach, while prevalent, is increasingly criticized due to inherent perceptual biases, limited sensitivity to subtle speech motor variations, and insufficient reflection of underlying speech mechanisms. This paper critically re-examines a widely used diagnostic classification system for pediatric SSDs, namely Dodd's Model of Differential Diagnosis (MDD), emphasizing the limitations of perceptual methods and advocating for instrumental techniques to address significant ground truthing issues. Critical analysis in this paper integrates evidence from perceptual research, instrumental phonetics, and speech motor development studies, highlighting discrepancies between traditional classification methods and modern instrumental data. Findings indicate profound limitations in current auditory-perceptual classification methods, particularly regarding their inability to detect subtle motoric impairments such as jaw sliding, covert motor contrasts, and undifferentiated tongue gestures. Evidence from instrumental studies supports a speech-motor rather than purely cognitive-linguistic basis for many pediatric SSDs, revealing significant inadequacies in current clinical practices. To avoid the narrow interpretation of "motor speech" as referring only to childhood apraxia of speech (CAS) or dysarthria, we explicitly broaden its scope to include a wider range of motoric influences on SSDs. Given these critical ground truthing concerns, the paper proposes adopting instrumental-based methodologies that offer greater precision in identifying underlying motor-based impairments, thereby promoting a more accurate and nuanced understanding of pediatric SSDs. Furthermore, the discussion advocates for adopting a dimensional rather than categorical classification framework, emphasizing gradual developmental trajectories and foundational speech motor skills. Aligning with modern precision medicine principles, the proposed approach aims to refine diagnostic accuracy, improve intervention effectiveness, and ultimately enhance clinical outcomes for children with SSDs.

Indexed as

ground truthinginstrumental phoneticspediatric speech pathologyperceptual biasspeech sound disorder classificationspeech sound disorders

Identifiers

PMID41458878
PMCPMC12738827

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.