Evidence map›Paper›PMID 33983924›Full record

ArticlePLoS computational biology2021

Secondary indoor air pollution and passive smoking associated with cannabis smoking using electric cigarette device-demonstrative in silico study.

Kazuki Kuga, Kazuhide Ito, Wenhao Chen, Ping Wang, Jeff Fowles, Kazukiyo Kumagai

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. 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

6 authors.

Kazuki KugaFaculty of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga, Fukuoka, Japan.ORCID 0000-0002-6553-6936
Kazuhide ItoFaculty of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga, Fukuoka, Japan.ORCID 0000-0002-7715-7896
Wenhao ChenIndoor Air Quality Program, Environmental Health Laboratory, California Department of Public Health, Richmond, California, United States of America.ORCID 0000-0002-6956-3894
Ping WangIndoor Air Quality Program, Environmental Health Laboratory, California Department of Public Health, Richmond, California, United States of America.ORCID 0000-0002-4149-5308
Jeff FowlesIndoor Air Quality Program, Environmental Health Laboratory, California Department of Public Health, Richmond, California, United States of America.
Kazukiyo KumagaiIndoor Air Quality Program, Environmental Health Laboratory, California Department of Public Health, Richmond, California, United States of America.ORCID 0000-0002-0425-9410

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With electronic (e)-liquids containing cannabis components easily available, many anecdotal examples of cannabis vaping using electronic cigarette devices have been reported. For electronic cigarette cannabis vaping, there are potential risks of secondary indoor air pollution from vapers. However, quantitative and accurate prediction of the inhalation and dermal exposure of a passive smoker in the same room is difficult to achieve due to the ethical constraints on subject experiments. The numerical method, i.e., in silico method, is a powerful tool to complement these experiments with real humans. In this study, we adopted a computer-simulated person that has been validated from multiple perspectives for prediction accuracy. We then conducted an in silico study to elucidate secondary indoor air pollution and passive smoking associated with cannabis vaping using an electronic cigarette device in an indoor environment. The aerosols exhaled by a cannabis vaper were confirmed to be a secondary emission source in an indoor environment; non-smokers were exposed to these aerosols via respiratory and dermal pathways. Tetrahydrocannabinol was used as a model chemical compound for the exposure study. Its uptake by the non-smoker through inhalation and dermal exposure under a worst-case scenario was estimated to be 5.9% and 2.6% of the exhaled quantity from an e-cigarette cannabis user, respectively.

Indexed as

Air Pollution, IndoorElectronic Nicotine Delivery SystemsMarijuana SmokingTobacco Smoke PollutionComputer SimulationHumansInhalation ExposureRisk AssessmentTobacco Smoke Pollution

Identifiers

PMID33983924
PMCPMC8148323

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.