Evidence map›Paper›PMID 26322924›Full record

ArticleJAMA internal medicine2015

Modeling the Health Effects of Expanding e-Cigarette Sales in the United States and United Kingdom: A Monte Carlo Analysis.

Sara Kalkhoran, Stanton A Glantz

Abstract read
In one paragraph

Article in JAMA internal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 5 pooled it
–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

55 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017
    Pooled it
  5. Pooled it
  6. Article
  7. E-Cigarette Use and Depression Among American Indian Adults Who Smoke.Journal of racial and ethnic health disparities · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A cost-utility analysis of the impact of electronic nicotine delivery systems on health care costs and outcomes in Canada.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2022
    Article
  14. Article
  15. Review
  16. Applying the Population Health Standard to the Regulation of Electronic Nicotine Delivery Systems.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Review
  17. Article
  18. Estimating the Population Health Impact of Recently Introduced Modified Risk Tobacco Products: A Comparison of Different Approaches.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Sara KalkhoranDepartment of Medicine, University of California, San Francisco.
Stanton A GlantzDepartment of Medicine, University of California, San Francisco2Center for Tobacco Control Research and Education, Cardiovascular Research Institute, University of California, San Francisco.

Funding

Training and Education p489-500P50CA180890 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLANTZ, STANTON ARNOLD · 2013 to 2018
$20.5M
NCI NIH HHS 1P50CA180890NCI NIH HHS P50 CA180890PHS HHS T32HP19025
6 · The paper itself

Abstract

importanceThe prevalence of electronic cigarette (e-cigarette) use is increasing. Population health effects will depend on cigarette smoking behaviors, levels of dual use with conventional cigarettes, and e-cigarette toxicity.

objectiveTo evaluate potential health effects of various scenarios of increasing promotion and use of e-cigarettes. DESIGN, SETTING, AND

participantsA base case model was developed using data on actual cigarette and e-cigarette use patterns that quantifies transitions from an initial state of no cigarette or e-cigarette use to 1 of 5 final states: never use of cigarettes or e-cigarettes, cigarette use, e-cigarette use, dual use of cigarettes and e-cigarettes, or quit. Seven scenarios were created that cover a range of use patterns, depending on how the e-cigarette market might develop, as well as a range of possible long-term health effects of e-cigarette use. Scenarios for changes from the base case were evaluated using Monte Carlo simulations. Separate sets of base case model parameters were evaluated for the US and UK populations. MAIN OUTCOMES AND MEASURES: We assigned unitless health "costs" for each final state on a scale of 0 to 100. Population health "costs" were compared with the base case (status quo) assuming e-cigarette use health "costs" from 1% to 50% as dangerous as conventional cigarette use health costs.

resultsCompared with the base case, a harm reduction scenario in which e-cigarette use increases only among smokers who are interested in quitting with more quit attempts and no increased initiation of e-cigarette use among nonsmokers, and another scenario in which e-cigarettes are taken up only by youth who would have smoked conventional cigarettes, had population-level health benefits regardless of e-cigarette health costs in both the United States and United Kingdom. Conversely, scenarios in which e-cigarette promotion leads to renormalization of cigarette smoking or e-cigarettes are used primarily by youth who never would have smoked showed net health harms across all e-cigarette health costs. In other scenarios, the net health effect varied on the basis of the health cost of e-cigarettes. CONCLUSIONS AND RELEVANCE: According to this analysis, widespread promotion of e-cigarettes may have a wide range of population-level health effects, depending on both e-cigarette health risks and patterns of use. Absent the primary effect of e-cigarette promotion being only to divert current or future conventional cigarette smokers to e-cigarette use, the current uncertainty about the health risks of e-cigarettes, increasing e-cigarette use among youth, and the varying health effects at different e-cigarette health costs suggest a potential for harm.

Indexed as

Electronic Nicotine Delivery SystemsSmokingAdolescentAdultFemaleHumansMaleMarketingMonte Carlo MethodOutcome Assessment, Health CarePopulation SurveillancePrevalenceRisk AssessmentSmoking CessationSmoking PreventionUnited Kingdom

Identifiers

PMID26322924
PMCPMC4594196

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.