Evidence map›Paper›PMID 33268220›Full record

ArticleJournal of voice : official journal of the Voice Foundation2022

Respiratory Particle Emission During Voice Assessment and Therapy Tasks in a Single Subject.

Lauren Timmons Sund, Neel K Bhatt, Elisabeth H Ference, Wihan Kim, Michael M Johns

Abstract read
In one paragraph

Article in Journal of voice : official journal of the Voice Foundation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. COVID-19: Impact on the Musician and Returning to Singing; A Literature Review.Journal of voice : official journal of the Voice Foundation · 2023
    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

5 authors.

Lauren Timmons SundUSC Voice Center, USC Caruso Department of Otolaryngology - Head and Neck Surgery at Keck Medicine of USC, University of Southern California, Los Angeles, California.
Neel K BhattUSC Voice Center, USC Caruso Department of Otolaryngology - Head and Neck Surgery at Keck Medicine of USC, University of Southern California, Los Angeles, California.
Elisabeth H FerenceUSC Caruso Department of Otolaryngology - Head and Neck Surgery at Keck Medicine of USC, University of Southern California, Los Angeles, California.
Wihan KimUSC Caruso Department of Otolaryngology - Head and Neck Surgery at Keck Medicine of USC, University of Southern California, Los Angeles, California.
Michael M JohnsUSC Voice Center, USC Caruso Department of Otolaryngology - Head and Neck Surgery at Keck Medicine of USC, University of Southern California, Los Angeles, California. Electronic address: michael.johns@med.usc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSARS-CoV-2 is transmitted via respiratory particles. Respiratory particle emission is impacted by manner of breathing and voicing, as well as intersubject variability. Assessment and treatment of voice disorders may include tasks that increase respiratory particle emission beyond typical breathing and speaking. This could increase the risk of disease transmission via respiratory particles.

methodsRespiratory particle emission was measured during a single-subject, repeated measures clinical simulation of acoustic and aerodynamic assessment and voice therapy tasks. An optical particle sizer was used to measure particle count (1-10 μm in diameter). Assessment and therapy tasks were completed in three conditions: (1) 15 cm from the device, (2) 1 m from the device, and (3) 1 m from the device with the subject wearing a surgical mask.

resultsCondition 1 generated the highest particle count, with a median of 5.1 (13) additional particles above baseline, which was statistically significant (U = 381.5, P= 0.002). In condition 1, therapy and acoustic tasks combined produced more particles compared to the baseline and speech tasks, with a median difference of 6.5 additional particles per time point (U = 309.0, P= 0.002). This difference was not significant for conditions 2 and 3. Peak particle generation occurred in specific phonatory tasks, which was most pronounced in condition 1. Voice therapy tasks during condition 1 generated the highest peaks of normalized total particles with classical singing and expiratory muscle strength training. There was a significant difference in the amount of particle generation between condition 1 and 2, with a median difference of 5.2 particles (U = 461.0, P= 0.002). The particle count difference between conditions 2 and 3 was 2.1 (U = 282.0, P= 0.292), and this difference was not significant. The normalized total particles were assessed over time for each condition. For all conditions, there was no significant accumulation of particles.

conclusionsFor a single subject, production of voice assessment and therapy tasks combined resulted in an increased number of respiratory particles compared to speech and baseline (1-10 μm). EMST and classical singing generated the greatest concentration of particles. Respiratory particle counts were higher at 15 cm from the particle sizer compared to 1 m from the particle sizer, suggesting that physical distancing may reduce immediate clinician exposure to respiratory particles. Particle concentration did not accumulate over time.

Indexed as

COVID-19Voice DisordersHumansPhonationRespiratory SystemSARS-CoV-2Voice therapy—Aerosols—Particle emission—COVID-19

Identifiers

PMID33268220
PMCPMC7582043

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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.