Evidence map›Paper›PMID 34438888›Full record

ArticleAnimals : an open access journal from MDPI2021

Salbutamol Transport and Deposition in the Upper and Lower Airway with Different Devices in Cats: A Computational Fluid Dynamics Approach.

Rocio Fernández-Parra, Pascaline Pey, Carol Reinero, Mauro Malvè

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Rocio Fernández-ParraDepartment of Small Animal Medicine and Surgery, Faculty of Veterinary Medicine, Catholic University of Valencia "San Vicente Mártir", Carrer de Quevedo, 2, 46001 Valencia, Spain.
Pascaline PeyAntech Imaging Services, 17620 Mt. Herrmann Street, Fountain Valley, CA 92708, USA.
Carol ReineroDepartment of Veterinary Medicine and Surgery, University of Missouri, Columbia, MO 65211, USA.
Mauro MalvèDepartment of Engineering, Public University of Navarre (UPNA), Campus Arrosadía s/n, 31006 Pamplona, Spain.ORCID 0000-0002-0116-2736

Funding

Ministerio de Economía, Industria y Competitividad, Gobierno de España DPI2017-83259-R (AEI/FEDER, UE)
6 · The paper itself

Abstract

Pressurized metered-dose inhalers (pMDI) with or without spacers are commonly used for the treatment of feline inflammatory airway disease. During traditional airways treatments, a substantial amount of drugs are wasted upstream of their target. To study the efficiency of commonly used devices in the transport of inhaled salbutamol, different computational models based on two healthy adult client-owned cats were developed. Computed tomographic images from one cat were used to generate a three-dimensional geometry, and two masks (spherical and conical shapes) and two spacers (10 and 20 cm) completed the models. A second cat was used to generate a second model having an endotracheal tube (ETT) with and without the same spacers. Airflow, droplet spray transport, and deposition were simulated and studied using computational fluid dynamics techniques. Four regions were evaluated: device, upper airways, primary bronchi, and downstream lower airways/parenchyma ("lung"). Regardless of the model, most salbutamol is deposited in devices and/or upper airways. In general, particles reaching the lung varied between 5.8 and 25.8%. Compared with the first model, pMDI application through the ETT with or without a spacer had significantly higher percentages of particles reaching the lung (

Indexed as

asthmabronchodilatorCFDchronic bronchitisfeline modelpressurized metered dose inhaler

Identifiers

PMID34438888
PMCPMC8388725

What OpenQuestion holds

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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.