Evidence map›Paper›PMID 35142830›Full record

ArticleJAMA network open2022

Exposure to Toxicants Associated With Use and Transitions Between Cigarettes, e-Cigarettes, and No Tobacco.

Hongying Dai, Neal L Benowitz, Chandran Achutan, Paraskevi A Farazi, Abraham Degarege, Ali S Khan

Open access · goldAbstract readComparative Study
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 5 pooled it
6.5field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 5 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Birth outcomes following intrauterine exposure to electronic nicotine delivery systems: a systematic review and meta-analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Pooled it
  2. Pooled it
  3. Exposure to Tobacco-Specific Nitrosamines Among People Who Vape, Smoke, or do Neither: A Systematic Review and Meta-Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Urinary Tobacco and Nicotine Exposure Biomarkers as Predictors of Transitions between Cigarette and e-Cigarette Use in the Exhale Longitudinal Cohort Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Observational
  14. Biomarkers of Exposure to Tobacco-Related Toxicants and Oxidative Stress Among Cancer Survivors.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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 at 2 institutions in 1 country.

Hongying DaiCollege of Public Health, University of Nebraska Medical Center, Omaha.
Neal L BenowitzThe Center for Tobacco Control Research and Education, Department of Medicine, University of California, San Francisco, San Francisco.
Chandran AchutanCollege of Public Health, University of Nebraska Medical Center, Omaha.
Paraskevi A FaraziCollege of Public Health, University of Nebraska Medical Center, Omaha.
Abraham DegaregeCollege of Public Health, University of Nebraska Medical Center, Omaha.
Ali S KhanCollege of Public Health, University of Nebraska Medical Center, Omaha.
University of Nebraska Medical Center · USUniversity of California, San Francisco · US

Funding

Racial disparities in biomarkers, tobacco cessation, and smoking relapse in association with electronic cigarette useR21DA054818 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI DAI, HONGYING DAISY · 2021 to 2022
$435k
NIDA NIH HHS R21 DA054818
6 · The paper itself

Abstract

Importance: Transitions between e-cigarettes and cigarettes are common among tobacco users, but empirical evidence on the health outcomes of switching tobacco products is scarce. Objectives: To examine changes in urinary biomarkers between baseline and 1-year follow-up among adult tobacco users switching between e-cigarettes and cigarettes. Design, Setting, and Participants: This cohort study used data from wave 1 (baseline, September 2013 to December 2014) and wave 2 (1-year follow-up, October 2014 to October 2015) of the Population Assessment of Tobacco and Health Study. A subset of the probability sample of US adults who voluntarily provided biospecimens at 2 waves was analyzed. Participants were divided into 3 mutually exclusive groups at baseline: exclusive cigarette smokers, exclusive e-cigarette users, and dual users. Data analysis was performed in 2021. Exposures: Harmful and potentially harmful constituents included nicotine metabolites, tobacco-specific nitrosamines (TSNAs; including 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol [NNAL]), metals, polycyclic aromatic hydrocarbons (PAHs), and volatile organic compounds (VOCs). Main Outcomes and Measures: Within-participant changes in 55 urinary biomarkers of exposure (BOEs) to harmful and potentially harmful constituents were examined using multivariable regression models. Results: Among 3211 participants (55.6% women, 68.3% White, 13.2% Black, and 11.8% Hispanic) at baseline, 21.9% of exclusive cigarette users, 42.8% of exclusive e-cigarette users, and 62.1% of dual users changed product use at follow-up (all percentages are weighted). There was a significant reduction in urine concentrations of TSNAs, PAHs, and VOCs when users transitioned from exclusive cigarette to exclusive e-cigarette use, with a 92% decrease in NNAL, from a mean of 168.4 pg/mg creatinine (95% CI, 102.3-277.1 pg/mg creatinine) to 12.9 pg/mg creatinine (95% CI, 6.4-25.7 pg/mg creatinine; P < .001). A similar panel of BOEs decreased when dual users transitioned to exclusive e-cigarette use; NNAL levels decreased by 96%, from a mean of 143.4 pg/mg creatinine (95% CI, 86.7-237.0 pg/mg creatinine) to 6.3 pg/mg creatinine (95% CI, 3.5-11.4 pg/mg creatinine; P < .001). Nicotine metabolites, TSNAs, PAHs, and VOCs significantly increased when baseline exclusive e-cigarette users transitioned to exclusive cigarette use or dual use. Switching from exclusive cigarette use to dual use was not associated with significant decreases in BOEs. Conclusions and Relevance: This national cohort study provides evidence on the potential harm reduction associated with transitioning from exclusive cigarette use or dual use to exclusive e-cigarette use. e-Cigarettes tend to supplement cigarettes through dual use instead of cessation at the population level. Continuous monitoring of BOE at the population level and assessment of BOE change by product transition are warranted, as well as defined adverse health outcomes.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkersCarcinogensCohort StudiesElectronic Nicotine Delivery SystemsFemaleHumansInhalation ExposureLongitudinal StudiesMaleMiddle AgedNicotineNon-SmokersBiomarkersCarcinogensNicotine

Identifiers

PMID35142830
PMCPMC8832174
OpenAlexW4211045873

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.