Evidence map›Paper›PMID 39830599›Full record

ArticleJournal of aerosol science2025

Characterization of Pediatric Extrathoracic Aerosol Deposition with Air-Jet Dry Powder Inhalers.

Morgan L Thomas, Karl Bass, Dale Farkas, Worth Longest

Abstract read
In one paragraph

Article in Journal of aerosol science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Morgan L ThomasDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA.
Karl BassDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA.
Dale FarkasDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA.
Worth LongestDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA.

Funding

High Efficiency Delivery of Surfactant Aerosols to Infants without IntubationR01HL139673 · NHLBI · VIRGINIA COMMONWEALTH UNIVERSITY · PI HINDLE, MICHAEL, LONGEST, P. WORTH · 2018 to 2021
$2.8M
High Efficiency Inhalation Delivery of Tobramycin for Children with Cystic FibrosisR01HD087339 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI HINDLE, MICHAEL, LONGEST, P. WORTH · 2017 to 2021
$2.5M
NHLBI NIH HHS R01 HL139673NICHD NIH HHS R01 HD087339
6 · The paper itself

Abstract

The use of air-jet dry powder inhalers (DPIs) offers a number of advantages for the administration of pharmaceutical aerosols, including the ability to achieve highly efficient and potentially targeted aerosol delivery to the lungs of children using the oral or trans-nasal routes of administration. To better plan targeted lung delivery of pharmaceutical aerosols with these inhalers, more information is needed on the extrathoracic (ET) depositional loss in pediatric subjects when using relatively small (e.g., 0.5 - 2 μm) particles and including oral or nasal device interfaces. The objective of this study was to implement validated computational fluid dynamics (CFD) models to characterize ET depositional loss during mouth-throat (MT) and nose-throat (NT) aerosol administration to pediatric subjects (2-10 years old) using an air-jet DPI platform across a range of initial small-particle aerosol sizes (0.41-13.65 μm) and inhalation flow rates (8-20 L/min). A new CFD model focused on small-particle aerosol depositional loss in existing pediatric airway models was developed and validated with existing

Indexed as

active DPIhigh efficiency aerosolizationinline DPInose-to-lung aerosol deliverypediatric DPITrans-nasal aerosol delivery

Identifiers

PMID39830599
PMCPMC11737425

What OpenQuestion holds

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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.