Evidence map›Paper›PMID 39567268›Full record

ArticleJournal of voice : official journal of the Voice Foundation2024

The Prevalence of Creak Across Breath Groups in Adductor Laryngeal Dystonia.

Katherine L Marks, Saul A Frankford, Sarah J Cocroft, Samantha Lonergan, Manuel E Díaz Cádiz, Cara E Stepp

Abstract read
In one paragraph

Article in Journal of voice : official journal of the Voice Foundation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Linguistically Informed Automated Estimates of Creak in Adductor Laryngeal Dystonia.Journal of speech, language, and hearing research : JSLHR · 2026
    Article
  2. Article
  3. Creak Derived from CAPE-V Sentences in Patients with AdLd and pMTD.Journal of voice : official journal of the Voice Foundation · 2026
    Article
  4. Article
  5. Automated Creak Detection in Spanish Speakers with and without AdLD.Journal of voice : official journal of the Voice Foundation · 2026
    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

6 authors.

Katherine L MarksDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts 02215; Department of Otolaryngology, Emory University School of Medicine, Atlanta, Georgia, 30308. Electronic address: katie.marks@emory.edu.
Saul A FrankfordDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts 02215; Department of Speech, Language, and Hearing, The University of Texas at Dallas, Richardson, Texas, 75080.
Sarah J CocroftDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts 02215.
Samantha LonerganDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts 02215.
Manuel E Díaz CádizDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts 02215.
Cara E SteppDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts 02215; Department of Otolaryngology-Head and Neck Surgery, Boston University School of Medicine, Boston, Massachusetts 02118; Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215.

Funding

Objective Measures for Clinical Assessment of Voice DisordersR01DC015570 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI STEPP, CARA E. · 2016 to 2025
$4.8M
Validation of an automated acoustic outcome measure for AdLDF32DC020349 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MARKS, KATHERINE LINDSEY · 2022 to 2023
$142k
NIDCD NIH HHS F32 DC020349NIDCD NIH HHS R01 DC015570
6 · The paper itself

Abstract

objectiveCreak is an acoustic feature found to discriminate speakers with adductor laryngeal dystonia (AdLD) from typical speakers with outstanding diagnostic accuracy. Yet creak is also used by typical speakers as a phrase-boundary marker. This study aims to compare the prevalence of creak across estimated breath groups in speakers with AdLD and controls to delineate physiological mechanisms underlying creak in AdLD.

methodsThirty-four speakers read aloud the first paragraph of the Rainbow Passage (17 diagnosed with AdLD and 17 with no history of voice complaints). "Breath-like" pauses were defined as any in which technicians audibly heard a pause and all pauses >500 ms. For each phoneme, the time preceding the next breath-like pause was calculated, and the probability of creak occurrence was calculated. A generalized linear mixed-effects model was performed to determine the relationship between creak and time preceding a breath-like pause.

resultsInter-rater and intrarater reliability of technicians were excellent. There was a statistically greater probability of creak in the AdLD group compared to controls (22% vs. 5%) and a statistically greater probability of creak as speakers approached a breath-like pause in both groups. The interaction between the time preceding a breath-like pause and group was significant, with a stronger relationship between the time preceding a breath-like pause and creak for control speakers (P < 0.001).

conclusionsCreak is more prevalent in speakers with AdLD and may not only be related to respiratory phrasing but possibly in response to or because of the hyperadduction of the vocal folds during a laryngeal spasm. LAY SUMMARY: The probability of creak occurring was greater towards the end of estimated breath groups in speakers with and without AdLD; however, for speakers with AdLD, creak was more prominent across the entire breath group. LEVEL OF EVIDENCE: 3:

Indexed as

AcousticsCreakLaryngeal dystoniaSpeech-language pathologyVoice disorders

Identifiers

PMID39567268
PMCPMC12590418

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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.