Evidence map›Paper›PMID 26429351›Full record

ArticleMedical & biological engineering & computing2015

Numerical simulation of pharyngeal airflow applied to obstructive sleep apnea: effect of the nasal cavity in anatomically accurate airway models.

Julien Cisonni, Anthony D Lucey, Andrew J C King, Syed Mohammed Shamsul Islam, Richard Lewis, Mithran S Goonewardene

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 34 citations in OpenAlex.

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  12. [Progress in numerical simulation and experimental study on inhalable particles deposition in human respiratory system].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017
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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 2 institutions in 1 country.

Julien CisonniFluid Dynamics Research Group, Department of Mechanical Engineering, Curtin University, Perth, WA, Australia. julien.cisonni@gmx.com.
Anthony D LuceyFluid Dynamics Research Group, Department of Mechanical Engineering, Curtin University, Perth, WA, Australia.
Andrew J C KingFluid Dynamics Research Group, Department of Mechanical Engineering, Curtin University, Perth, WA, Australia.
Syed Mohammed Shamsul IslamFluid Dynamics Research Group, Department of Mechanical Engineering, Curtin University, Perth, WA, Australia.
Richard LewisPerth Head and Neck Surgery, Nedlands, WA, Australia.
Mithran S GoonewardeneSchool of Dentistry/Oral Health Centre of Western Australia, University of Western Australia, Crawley, WA, Australia.
Curtin University · AUUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Repetitive brief episodes of soft-tissue collapse within the upper airway during sleep characterize obstructive sleep apnea (OSA), an extremely common and disabling disorder. Failure to maintain the patency of the upper airway is caused by the combination of sleep-related loss of compensatory dilator muscle activity and aerodynamic forces promoting closure. The prediction of soft-tissue movement in patient-specific airway 3D mechanical models is emerging as a useful contribution to clinical understanding and decision making. Such modeling requires reliable estimations of the pharyngeal wall pressure forces. While nasal obstruction has been recognized as a risk factor for OSA, the need to include the nasal cavity in upper-airway models for OSA studies requires consideration, as it is most often omitted because of its complex shape. A quantitative analysis of the flow conditions generated by the nasal cavity and the sinuses during inspiration upstream of the pharynx is presented. Results show that adequate velocity boundary conditions and simple artificial extensions of the flow domain can reproduce the essential effects of the nasal cavity on the pharyngeal flow field. Therefore, the overall complexity and computational cost of accurate flow predictions can be reduced.

Indexed as

Computer SimulationModels, BiologicalAdultHumansHydrodynamicsMaleNasal CavityPharynxPressureSleep Apnea, ObstructiveComputational fluid dynamics (CFD)Nasal cavityObstructive sleep apneaPharyngeal wall pressure

Identifiers

PMID26429351
OpenAlexW1880649598

What OpenQuestion holds

Textmetadata
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.