Evidence map›Paper›PMID 33507973›Full record

ArticlePloS one2021

Prediction of nasal spray drug absorption influenced by mucociliary clearance.

Yidan Shang, Kiao Inthavong, Dasheng Qiu, Narinder Singh, Fajiang He, Jiyuan Tu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 50 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Yidan ShangCollege of Air Transportation, Shanghai University of Engineering Science, Shanghai, China.
Kiao InthavongSchool of Engineering, RMIT University, Bundoora, VIC, Australia.ORCID 0000-0003-0476-0237
Dasheng QiuDepartment of Nuclear medicine (Positron Emission Tomography/Computed Tomography), Hubei Cancer Hospital, Wuhan, Hubei, China.
Narinder SinghDepartment of Otolaryngology Head and Neck Surgery, Westmead Hospital, Sydney, Australia.ORCID 0000-0002-7719-1832
Fajiang HeCollege of Air Transportation, Shanghai University of Engineering Science, Shanghai, China.
Jiyuan TuSchool of Engineering, RMIT University, Bundoora, VIC, Australia.
RMIT University · AUShanghai University of Engineering Science · CNHubei Cancer Hospital · CNThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluation of nasal spray drug absorption has been challenging because deposited particles are consistently transported away by mucociliary clearance during diffusing through the mucus layer. This study developed a novel approach combining Computational Fluid Dynamics (CFD) techniques with a 1-D mucus diffusion model to better predict nasal spray drug absorption. This integrated CFD-diffusion approach comprised a preliminary simulation of nasal airflow, spray particle injection, followed by analysis of mucociliary clearance and drug solute diffusion through the mucus layer. The spray particle deposition distribution was validated experimentally and numerically, and the mucus velocity field was validated by comparing with previous studies. Total and regional drug absorption for solute radius in the range of 1 - 110nm were investigated. The total drug absorption contributed by the spray particle deposition was calculated. The absorption contribution from particles that deposited on the anterior region was found to increase significantly as the solute radius became larger (diffusion became slower). This was because the particles were consistently moved out of the anterior region, and the delayed absorption ensured more solute to be absorbed by the posterior regions covered with respiratory epithelium. Future improvements in the spray drug absorption model were discussed. The results of this study are aimed at working towards a CFD-based integrated model for evaluating nasal spray bioequivalence.

Indexed as

Computer SimulationModels, BiologicalNasal SpraysAerosolsHumansHydrodynamicsMucociliary ClearanceAerosolsNasal Sprays

Identifiers

PMID33507973
PMCPMC7842989
OpenAlexW3122233080

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.