Evidence map›Paper›PMID 31780123›Full record

ArticleJournal of biomechanics2020

The effects of upper airway tissue motion on airflow dynamics.

Yongling Zhao, Joel Raco, Agisilaos Kourmatzis, Sammy Diasinos, Hak-Kim Chan, Runyu Yang, Shaokoon Cheng

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Numerical and Experimental Analysis of Inhalation Airflow Dynamics in a Human Pharyngeal Airway.International journal of environmental research and public health · 2020
    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

7 authors at 3 institutions in 2 countries.

Yongling ZhaoSchool of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, NSW 2006, Australia; Department of Mechanical and Process Engineering, ETH Zürich, Zürich 8093, Switzerland.
Joel RacoSchool of Engineering, Macquarie University, NSW 2109, Australia.
Agisilaos KourmatzisSchool of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, NSW 2006, Australia.
Sammy DiasinosSchool of Engineering, Macquarie University, NSW 2109, Australia.
Hak-Kim ChanAdvanced Drug Delivery Group, School of Pharmacy, The University of Sydney, NSW 2006, Australia.
Runyu YangSchool of Materials Science and Engineering, UNSW Sydney, NSW 2052, Australia.
Shaokoon ChengSchool of Engineering, Macquarie University, NSW 2109, Australia. Electronic address: shaokoon.cheng@mq.edu.au.
Macquarie University · AUThe University of Sydney · AUUNSW Sydney · AU

Funding

Development of computational models to predict delivery of inhalation drug powders: from deagglomeration in devices to deposition in airwaysU01FD006525 · FDA · UNIVERSITY OF SYDNEY · PI CHAN, KIM, CHENG, SHAOKOON · 2018 to 2020
$400k
FDA HHS U01 FD006525
6 · The paper itself

Abstract

The human upper airway is not only geometrically complex, but it can also deform dynamically as a result of active muscle contraction and motility during respiration. How the active transformation of the airway geometry affects airflow dynamics during respiration is not well understood despite the importance of this knowledge towards improving current understanding of particle transport and deposition. In this study, particle imaging velocimetry (PIV) measurements of the fluid dynamics are presented in a physiologically realistic human upper airway replica for (i) the undeformed case and (ii) the case where realistic soft tissue motion during breathing is emulated. Results from this study show that extrathoracic wall motion alters the flow field significantly such that the fluid dynamics is distinctly different from the undeformed airway. Distinctive flow field patterns in the physiologically realistic airway include (i) fluid recirculation at the back of the tongue and cranial to the tip of the epiglottis during mid-inspiration, (ii) horizontal and posteriorly directed flow at the back of tongue at the peak of inspiration and (iii) a more homogeneous flow across the airway downstream from the epiglottis. These findings suggest that the active deformation of the human upper airway may potentially influence particle transport and deposition at the back of the tongue and therefore, highlights the importance of considering extrathoracic wall motion in future airway flow studies. D.

Indexed as

AirHydrodynamicsMovementRespirationRespiratory Physiological PhenomenaHumansModels, BiologicalRespiratory SystemRheologyDrug deliveryFlow dynamicsParticle image velocimetryTissue motionUpper airway

Identifiers

PMID31780123
PMCPMC7324469
OpenAlexW2984762071

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.