Evidence map›Paper›PMID 30381781›Full record

ArticleAerosol science and technology : the journal of the American Association for Aerosol Research2018

Computational Analysis of Deposition and Translocation of Inhaled Nicotine and Acrolein in the Human Body with E-cigarette Puffing Topographies.

Ahmadreza Haghnegahdar, Yu Feng, Xiaole Chen, Jiang Lin

Open access · bronzeAbstract read
In one paragraph

Article in Aerosol science and technology : the journal of the American Association for Aerosol Research, 2018. 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
2.8field-weighted citation impact, top 11% 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, 40 citations in OpenAlex.

  1. Article
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  3. Use of quantitativeFrontiers in toxicology · 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.

Ahmadreza HaghnegahdarSchool of Chemical Engineering, Oklahoma State University, Stillwater, OK, 74078, USA.
Yu FengSchool of Chemical Engineering, Oklahoma State University, Stillwater, OK, 74078, USA.
Xiaole ChenSchool of Energy and Environment, Southeast University, Nanjing, 210096, China.
Jiang LinZhejiang University of Science and Technology, Hangzhou, 310023, China.
Oklahoma State University · USSoutheast University · CNZhejiang University of Science and Technology · CN

Funding

ZFC3H1 Regulation of Host Defense and Influenza A Virus PathogenesisP20GM103648 · NIGMS · OKLAHOMA STATE UNIVERSITY STILLWATER · PI PATRAUCHAN, MARIANNA M. A. · 2013 to 2022
$22.3M
NIGMS NIH HHS P20 GM103648
6 · The paper itself

Abstract

Recently, toxicants such as formaldehyde and acrolein were detected in electronic cigarette (EC) aerosols. It is imperative to conduct research and provide sufficient quantitative evidence to address the associated potential health risks. However, it is still a lack of informative data, i.e., high-resolution local dosimetry of inhaled aerosols in lung airways and other systemic regions, due to the limited imaging resolutions, restricted operational flexibilities, and invasive nature of experimental and clinical studies. In this study, an experimentally validated multiscale numerical model, i.e., Computational Fluid-Particle Dynamics (CFPD) model combined with a Physiologically Based Toxicokinetic (PBTK) model is developed to predict the systemic translocation of nicotine and acrolein in the human body after the deposition in the respiratory system.

Indexed as

AcroleinComputational Fluid-Particle Dynamics (CFPD)Electronic Cigarettes (ECs)NicotinePhysiologically Based Toxicokinetic Model (PBTK)Puffing Topography

Identifiers

PMID30381781
PMCPMC6205743
OpenAlexW2792937454

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.