Evidence map›Paper›PMID 34207690›Full record

ArticleInternational journal of environmental research and public health2021

Polydisperse Aerosol Transport and Deposition in Upper Airways of Age-Specific Lung.

Mohammad S Islam, Puchanee Larpruenrudee, Sheikh I Hossain, Mohammad Rahimi-Gorji, Yuantong Gu, Suvash C Saha, Gunther Paul

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 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
5.6field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Heat Wave and Bushfire Meteorology in New South Wales, Australia: Air Quality and Health Impacts.International journal of environmental research and public health · 2022
    Article
  5. Is the SARS CoV-2 Omicron Variant Deadlier and More Transmissible Than Delta Variant?International journal of environmental research and public health · 2022
    Review
  6. 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 4 institutions in 2 countries.

Mohammad S IslamSchool of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), 15 Broadway, Ultimo, NSW 2007, Australia.ORCID 0000-0001-6264-3886
Puchanee LarpruenrudeeSchool of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), 15 Broadway, Ultimo, NSW 2007, Australia.ORCID 0000-0002-3413-3667
Sheikh I HossainSchool of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia.ORCID 0000-0003-1951-4602
Mohammad Rahimi-GorjiDepartment of Human Structure and Repair, Ghent University, 9000 Ghent, Belgium.
Yuantong GuSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia.
Suvash C SahaSchool of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), 15 Broadway, Ultimo, NSW 2007, Australia.
Gunther PaulAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD 4810, Australia.ORCID 0000-0002-1880-9161
University of Technology Sydney · AUAustralian Institute of Tropical Health and Medicine · AUGhent University · BEQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive understanding of airflow characteristics and particle transport in the human lung can be useful in modelling to inform clinical diagnosis, treatment, and management, including prescription medication and risk assessment for rehabilitation. One of the difficulties in clinical treatment of lung disorders lies in the patients' variable physical lung characteristics caused by age, amongst other factors, such as different lung sizes. A precise understanding of the comparison between different age groups with various flow rates is missing in the literature, and this study aims to analyse the airflow and aerosol transport within the age-specific lung. ANSYS Fluent solver and the large-eddy simulation (LES) model were employed for the numerical simulation. The numerical model was validated with the available literature and the computational results showed airway size-reduction significantly affected airflow and particle transport in the upper airways. This study reports higher deposition at the mouth-throat region for larger diameter particles. The overall deposition efficiency (DE) increased with airway size reduction and flow rate. Lung aging effected the pressure distribution and a higher pressure drop was reported for the aged lung as compared to the younger lung. These findings could inform medical management through individualised simulation of drug-aerosol delivery processes for the patient-specific lung.

Indexed as

LungModels, BiologicalAdministration, InhalationAerosolsAgedAge FactorsComputer SimulationHumansParticle SizeAerosolsagingairway reductiondrug-aerosol deliveryLESparticle transport

Identifiers

PMID34207690
PMCPMC8296013
OpenAlexW3168576848

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.