Evidence map›Paper›PMID 33140602›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2020

[Numerical simulation on the deposition characteristics of inhaled particles in human pulmonary acinus region under the influence of multi-factors].

Penghui Li, Xinxi Xu, Rong Li, Yang Qiao

Open access · greenAbstract read
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 78% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Penghui LiInstitute of Medical Support Technology, Academe of System Engineering, Academy of Military Sciences, Tianjin 300161, P.R.China.
Xinxi XuInstitute of Medical Support Technology, Academe of System Engineering, Academy of Military Sciences, Tianjin 300161, P.R.China.
Rong LiDepartment of Military Preventive Medicine, Logistics University of Chinese People's Armed Police Force, Tianjin 300309, P.R.China.
Yang QiaoInstitute of Medical Support Technology, Academe of System Engineering, Academy of Military Sciences, Tianjin 300161, P.R.China.
Academy of Military Medical Sciences · CNLogistics University of People's Armed Police Force · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on the deposition of inhaled particles in human pulmonary acinus region is important to the pathogenesis investigation, prevention and treatment of lung diseases. Most of the current research focus on the final deposition fraction of inhaled particles in human acinar region, but little is involved in their dynamic deposition characteristics. In this paper, five multi-alveolar models, G3-G7, were built. The evaluation parameter 1/4 deposition time was introduced to study the particle deposition speed. The deposition characteristics of particles in the diameter ranging 0.1-5 μm were numerically simulated and summarized under the influence of factors such as the generation and structure of model, particle diameter and respiratory mode, shedding some new light on the further research of transport of inhaled particles. The results showed that the generation and structure of model had a significance effect on the deposition of particles. 0.1 μm particles were dominated by Brownian diffusion, which experienced a high deposition fraction, a fast deposition speed and a logarithmic deposition curve, while 5 μm particles were dominated by gravitational sedimentation, with a high deposition fraction, a fast deposition speed and an S-shaped deposition curve. The deposition of 0.3-1 μm particles were influenced greatly by convention and varied with the change of respiratory mode. The research methods and results in this paper can provide theoretical basis and data support for the further exploration of the mechanism, prevention and treatment of lung diseases.

Indexed as

LungModels, BiologicalAerosolsComputer SimulationHumansParticle SizeAerosolsdynamic deposition characteristicshuman pulmonary acinusmulti-alveolar modelparticle diameterrespiratory mode

Identifiers

PMID33140602
PMCPMC10320544
OpenAlexW3095913328

What OpenQuestion holds

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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.