Evidence map›Paper›PMID 33045904›Full record

ArticleOtolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery2021

Orally Inhaled Drug Particle Transport in Computerized Models of Laryngotracheal Stenosis.

Dennis Onyeka Frank-Ito, Seth Morris Cohen

Open access · greenAbstract read
In one paragraph

Article in Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Tracheomalacia Reduces Aerosolized Drug Delivery to the Lung.Journal of aerosol medicine and pulmonary drug delivery · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

2 authors at 1 institution in 1 country.

Dennis Onyeka Frank-ItoDepartment of Head and Neck Surgery & Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA.
Seth Morris CohenDepartment of Head and Neck Surgery & Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA.
Duke University · US

Funding

Computational modeling of the mature unilateral cleft lip nasal deformity for objective assessment of patient nasal function and treatment outcomesR01DE028554 · NIDCR · DUKE UNIVERSITY · PI FRANK-ITO, DENNIS ONYEKA · 2019 to 2022
$1.7M
NIDCR NIH HHS R01 DE028554
6 · The paper itself

Abstract

objectiveAdjuvant management for laryngotracheal stenosis (LTS) may involve inhaled corticosteroids, but metered dose inhalers are designed for pulmonary drug delivery. Comprehensive analyses of drug particle deposition efficiency for orally inhaled corticosteroids in the stenosis of LTS subjects are lacking. STUDY

designDescriptive research.

settingAcademic medical center.

methodsAnatomically realistic 3-dimensional reconstructions of the upper airway were created from computed tomography images of 4 LTS subjects-2 subglottic stenosis and 2 tracheal stenosis subjects. Computational fluid dynamics modeling was used to simulate airflow and drug particle transport in each airway. Three inhalation pressures were simulated, 10 Pa, 25 Pa, and 40 Pa. Drug particle transport was simulated for 100 to 950 nanoparticles and 1 to 50 micron-particles. Particles were released into the airway to mimic varying inhaler conditions with and without a spacer chamber.

resultsBased on smallest to largest cross-sectional area ratio, the laryngotracheal stenotic segment shrunk by 57% and 47%, respectively, for subglottic stenosis models and by 53% for both tracheal stenosis models. Airflow resistance at the stenotic segment was lower in subglottic stenosis models than in tracheal stenosis models: 0.001 to 0.011 Pa.s/mL vs 0.024 to 0.082 Pa.s/mL. Drug depositions for micron-particles and nanoparticles at stenosis were 0.06% to 2.48% and 0.10% to 2.60% for subglottic stenosis and tracheal stenosis models, respectively. Particle sizes with highest stenotic deposition were 6 to 20 µm for subglottic stenosis models and 1 to 10 µm for tracheal stenosis models.

conclusionThis study suggests that at most, 2.60% of inhaled drug particles deposit at the stenosis. Particle size ranges with highest stenotic deposition may not represent typical sizes emitted by inhalers.

Indexed as

Computer SimulationModels, AnatomicAdministration, InhalationAdministration, OralAdrenal Cortex HormonesHumansHydrodynamicsLaryngostenosisParticle SizeTracheal StenosisAdrenal Cortex Hormonesairflowcomputational fluid dynamicsinhaled corticosteroidslaryngotracheal stenosismetered dose inhalersparticle transportspacer chambersubglottic stenosis tracheal stenosis

Identifiers

PMID33045904
PMCPMC8294408
OpenAlexW3092300127

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.