Evidence map›Paper›PMID 34281751›Full record

ArticleJournal of voice : official journal of the Voice Foundation2023

Characterization of Primary Muscle Tension Dysphonia Using Acoustic and Aerodynamic Voice Metrics.

Adrianna C Shembel, Jeon Lee, Joshua R Sacher, Aaron M Johnson

Open access · greenAbstract read
In one paragraph

Article in Journal of voice : official journal of the Voice Foundation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
  2. Voice over time: long-term effects of therapy in muscle tension dysphonia with a 24-month follow-up.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  3. Article
  4. Article
  5. Relationships Between Aerodynamics and Voice Symptoms in Primary Muscle Tension Dysphonia.Journal of voice : official journal of the Voice Foundation · 2025
    Article
  6. Article
  7. Salient Voice Symptoms in Primary Muscle Tension Dysphonia.Journal of voice : official journal of the Voice Foundation · 2025
    Article
  8. Characterization of upper esophageal sphincter pressures relative to vocal acoustics.Journal of applied physiology (Bethesda, Md. : 1985) · 2025
    Article
  9. Correlation of Multiple Measures of Voice Evaluation Among Individuals with Muscle Tension Dysphonia: An Exploratory Study.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
    Article
  10. Article
  11. Laryngeal and Global Somatosensation in Primary Muscle Tension Dysphonia.Journal of voice : official journal of the Voice Foundation · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Examining Therapy Duration in Adults With Voice Disorders.American journal of speech-language pathology · 2023
    Observational
  16. Article
  17. Integrative Review and Framework of Suggested Mechanisms in Primary Muscle Tension Dysphonia.Journal of speech, language, and hearing research : JSLHR · 2022
    Review
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

4 authors at 3 institutions in 1 country.

Adrianna C ShembelDepartment of Speech, Language, and Hearing, University of Texas at Dallas, Dallas, Texas; Department of Otolaryngology-Head and Neck Surgery, University of Texas at Southwestern Medical Center, Dallas, Texas; Department of Otolaryngology-Head and Neck Surgery, New York University School of Medicine, New York, New York. Electronic address: adrianna.shembel@utdallas.edu.
Jeon LeeLyda Hill Department of Bioinformatics, University of Texas at Southwestern, Dallas, Texas.
Joshua R SacherCenter for the Development of Therapeutics, Broad Institute, Cambridge, Massachusetts.
Aaron M JohnsonDepartment of Otolaryngology-Head and Neck Surgery, New York University School of Medicine, New York, New York.
New York University · USBroad Institute · USThe University of Texas Southwestern Medical Center · US

Funding

Novel approaches to the study of laryngeal muscle in functional voice disordersR21DC019207 · NIDCD · UT SOUTHWESTERN MEDICAL CENTER · PI SHEMBEL, ADRIANNA · 2021 to 2023
$492k
NIDCD NIH HHS R21 DC019207
6 · The paper itself

Abstract

objectives/hypothesisThe objectives of this study were to (1) identify optimal clusters of 15 standard acoustic and aerodynamic voice metrics recommended by the American Speech-Language-Hearing Association (ASHA) to improve characterization of patients with primary muscle tension dysphonia (pMTD) and (2) identify combinations of these 15 metrics that could differentiate pMTD from other types of voice disorders. STUDY

designRetrospective multiparametric

methodsRandom forest modeling, independent t-tests, logistic regression, and affinity propagation clustering were implemented on a retrospective dataset of 15 acoustic and aerodynamic metrics.

resultsTen percent of patients seen at the New York University (NYU) Voice Center over two years met the study criteria for pMTD (92 out of 983 patients), with 65 patients with pMTD and 701 of non-pMTD patients with complete data across all 15 acoustic and aerodynamic voice metrics. PCA plots and affinity propagation clustering demonstrated substantial overlap between the two groups on these parameters. The highest ranked parameters by level of importance with random forest models-(1) mean airflow during voicing (L/sec), (2) mean SPL during voicing (dB), (3) mean peak air pressure (cmH2O), (4) highest F0 (Hz), and (5) CPP mean vowel (dB)-accounted for only 65% of variance. T-tests showed three of these parameters-(1) CPP mean vowel (dB), (2) highest F0 (Hz), and (3) mean peak air pressure (cmH2O)-were statistically significant; however, the log2-fold change for each parameter was minimal.

conclusionComputational models and multivariate statistical testing on 15 acoustic and aerodynamic voice metrics were unable to adequately characterize pMTD and determine differences between the two groups (pMTD and non-pMTD). Further validation of these metrics is needed with voice elicitation tasks that target physiological challenges to the vocal system from baseline vocal acoustic and aerodynamic ouput. Future work should also place greater focus on validating metrics of physiological correlates (eg, neuromuscular processes, laryngeal-respiratory kinematics) across the vocal subsystems over traditional vocal output measures (eg, acoustics, aerodynamics) for patients with pMTD. LEVEL OF EVIDENCE: II.

Indexed as

DysphoniaAcousticsHumansMuscle TonusRetrospective StudiesSpeech AcousticsVoice QualityMuscle tension dysphonia, instrumental acoustic, aerodynamic, voice diagnostics, random forest, regression, affinity clustering

Identifiers

PMID34281751
PMCPMC9762233
OpenAlexW3186664045

What OpenQuestion holds

Textmetadata
LicenceTDM
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.