Evidence map›Paper›PMID 36715109›Full record

ArticleThe Laryngoscope2023

Automated Creak Differentiates Adductor Laryngeal Dystonia and Muscle Tension Dysphonia.

Katherine L Marks, Manuel E Díaz Cádiz, Laura E Toles, Daniel P Buckley, Lauren F Tracy, J Pieter Noordzji, Gregory A Grillone, Cara E Stepp

Abstract read
In one paragraph

Article in The Laryngoscope, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Creak Derived from CAPE-V Sentences in Patients with AdLd and pMTD.Journal of voice : official journal of the Voice Foundation · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Automated Creak Detection in Spanish Speakers with and without AdLD.Journal of voice : official journal of the Voice Foundation · 2026
    Article
  7. Article
  8. Characterization of upper esophageal sphincter pressures relative to vocal acoustics.Journal of applied physiology (Bethesda, Md. : 1985) · 2025
    Article
  9. The Prevalence of Creak Across Breath Groups in Adductor Laryngeal Dystonia.Journal of voice : official journal of the Voice Foundation · 2024
    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

8 authors.

Katherine L MarksDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts, U.S.A.ORCID 0000-0001-5483-3794
Manuel E Díaz CádizDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts, U.S.A.
Laura E TolesDepartment of Otolaryngology - Head and Neck Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, U.S.A.ORCID 0000-0002-2665-3283
Daniel P BuckleyDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts, U.S.A.
Lauren F TracyDepartment of Otolaryngology - Head and Neck Surgery, Boston University School of Medicine, Boston, Massachusetts, U.S.A.ORCID 0000-0002-7680-4713
J Pieter NoordzjiDepartment of Otolaryngology - Head and Neck Surgery, Boston University School of Medicine, Boston, Massachusetts, U.S.A.
Gregory A GrilloneDepartment of Otolaryngology - Head and Neck Surgery, Boston University School of Medicine, Boston, Massachusetts, U.S.A.ORCID 0000-0002-7243-7522
Cara E SteppDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts, U.S.A.

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

objectiveThe purpose of this study was to determine whether automated estimates of vocal creak would differentiate speakers with adductor laryngeal dystonia (AdLD) from speakers with muscle tension dysphonia (MTD) and speakers without voice disorders.

methodsSixteen speakers with AdLD, sixteen speakers with MTD, and sixteen speakers without voice disorders were recorded in a quiet environment reading aloud a standard paragraph. An open-source creak detector was used to calculate the percentage of creak (% creak) in each of the speaker's six recorded sentences.

resultsA Kruskal-Wallis one-way analysis of variance revealed a statistically significant effect of group on the % creak with a large effect size. Pairwise Wilcoxon tests revealed a statistically significant difference in % creak between speakers with AdLD and controls as well as between speakers with AdLD and MTD. Receiver operating characteristic curve analyses indicated that % creak differentiated AdLD from both controls and speakers with MTD with high sensitivity and specificity (area under the curve statistics of 0.94 and 0.86, respectively).

conclusionPercentage of creak as calculated by an automated creak detector may be useful as a quantitative indicator of AdLD, demonstrating the potential for use as a screening tool or to aid in a differential diagnosis. LEVEL OF EVIDENCE: 3 Laryngoscope, 133:2687-2694, 2023.

Indexed as

DysphoniaDystoniaVoiceHumansLaryngeal MusclesMuscle TonusVoice Qualityacousticscreaklaryngeal dystoniamuscle tension dysphoniaspeech-language pathologyvoice disorders

Identifiers

PMID36715109
PMCPMC10387123

What OpenQuestion holds

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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.