Evidence map›Paper›PMID 34045500›Full record

ArticleScientific reports2021

A whole lung in silico model to estimate age dependent particle dosimetry.

Kamran Poorbahrami, Irene E Vignon-Clementel, Shawn C Shadden, Jessica M Oakes

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 32 citations in OpenAlex.

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  5. Digital twins for chronic lung diseases.European respiratory review : an official journal of the European Respiratory Society · 2024
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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 at 3 institutions in 2 countries.

Kamran PoorbahramiDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, USA.
Irene E Vignon-ClementelInria Saclay-Ile-de-France, Inria, France.
Shawn C ShaddenDepartment of Mechanical Engineering, University of California Berkeley, Berkeley, USA.
Jessica M OakesDepartment of Bioengineering, Northeastern University, Boston, USA. j.oakes@northeastern.edu.
Northeastern University · USInria Saclay - Île de France · FRUniversity of California, Berkeley · US

Funding

Coupling MRI-Derived Ventilation with Computational Models to Assess Inhaled Aerosol Treatment Feasibility in Severe Asthmatic AdultsR21HL140436 · NHLBI · NORTHEASTERN UNIVERSITY · PI OAKES, JESSICA M · 2017 to 2018
$245k
NHLBI NIH HHS R21 HL140436
6 · The paper itself

Abstract

Anatomical and physiological changes alter airflow characteristics and aerosol distribution in the developing lung. Correlation between age and aerosol dosimetry is needed, specifically because youth are more susceptible to medication side effects. In this study, we estimate aerosol dosages (particle diameters of 1, 3, and 5 [Formula: see text]m) in a 3 month-old infant, a 6 year-old child, and a 36 year-old adult by performing whole lung subject-specific particle simulations throughout respiration. For 3 [Formula: see text]m diameter particles we estimate total deposition as 88, 73, and [Formula: see text] and the conducting versus respiratory deposition ratios as 4.0, 0.5, and 0.4 for the infant, child, and adult, respectively. Due to their lower tidal volumes and functional residual capacities the deposited mass is smaller while the tissue concentrations are larger in the infant and child subjects, compared to the adult. Furthermore, we find that dose cannot be predicted by simply scaling by tidal volumes. These results highlight the need for additional clinical and computational studies that investigate the efficiency of treatment, while optimizing dosage levels in order to alleviate side effects, in youth.

Indexed as

Administration, InhalationAerosolsLungModels, TheoreticalAdultChildComputer SimulationHumansInfantAerosols

Identifiers

PMID34045500
PMCPMC8159973
OpenAlexW3165582575

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.