Evidence map›Paper›PMID 29538396›Full record

ArticlePloS one2018

Quantifying population-level health benefits and harms of e-cigarette use in the United States.

Samir S Soneji, Hai-Yen Sung, Brian A Primack, John P Pierce, James D Sargent

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
11.7field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 122 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. How e-cigarettes compromise children's human rights.BMJ (Clinical research ed.) · 2025
    Article
  4. #Discreetshipping: Selling E-cigarettes on TikTok.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Pancreatic Cancer: A Review of Risk Factors.Life (Basel, Switzerland) · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. 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
  18. Article
  19. Review
  20. Is "less than 5 by 35" still achievable?Health promotion and chronic disease prevention in Canada : research, policy and practice · 2021
    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

5 authors at 4 institutions in 1 country.

Samir S SonejiNorris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States of America.ORCID 0000-0001-8735-276X
Hai-Yen SungInstitute for Health & Aging, School of Nursing, University of California, San Francisco, San Francisco, CA, United States of America.
Brian A PrimackDivision of General Internal Medicine, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America.ORCID 0000-0002-5962-0939
John P PierceMoores Cancer Center, University of California, San Diego, San Diego, CA, United States of America.ORCID 0000-0002-0075-7471
James D SargentNorris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States of America.
Dartmouth College · USUniversity of California San Diego · USUniversity of California, San Francisco · USUniversity of Pittsburgh · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Visual Media Influences on Adolescent Smoking Behavior (YR 9 Supplement)R01CA077026 · NCI · DARTMOUTH COLLEGE · PI SARGENT, JAMES D. · 1997 to 2017
$16.8M
The Effect of Packaging on Smoking Perceptions and Behavior: A Randomized TrialR01CA190347 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PIERCE, JOHN P, STRONG, DAVID R · 2015 to 2019
$4.0M
Waterpipe Tobacco Smoking among U.S. Adolescents and Young AdultsR01CA140150 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRIMACK, BRIAN A. · 2010 to 2015
$2.4M
Challenges to effective implementation of lung cancer screeningR21CA197912 · NCI · DARTMOUTH COLLEGE · PI SONEJI, SAMIR SURESH · 2015 to 2017
$388k
Improving U.S. health policy regarding water-pipe tobacco smokingR21CA185767 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRIMACK, BRIAN A. · 2014 to 2015
$368k
NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA077026NCI NIH HHS R01 CA140150NCI NIH HHS R01 CA190347NCI NIH HHS R21 CA185767NCI NIH HHS R21 CA197912NIH HHS R01-CA077026NIH HHS R01-CA140150NIH HHS R01-CA190347NIH HHS R21-CA185767NIH HHS R21CA197912
6 · The paper itself

Abstract

backgroundElectronic cigarettes (e-cigarettes) may help cigarette smokers quit smoking, yet they may also facilitate cigarette smoking for never-smokers. We quantify the balance of health benefits and harms associated with e-cigarette use at the population level. METHODS AND

findingsMonte Carlo stochastic simulation model. Model parameters were drawn from census counts, national health and tobacco use surveys, and published literature. We calculate the expected years of life gained or lost from the impact of e-cigarette use on smoking cessation among current smokers and transition to long-term cigarette smoking among never smokers for the 2014 US population cohort.

resultsThe model estimated that 2,070 additional current cigarette smoking adults aged 25-69 (95% CI: -42,900 to 46,200) would quit smoking in 2015 and remain continually abstinent from smoking for ≥7 years through the use of e-cigarettes in 2014. The model also estimated 168,000 additional never-cigarette smoking adolescents aged 12-17 and young adults aged 18-29 (95% CI: 114,000 to 229,000), would initiate cigarette smoking in 2015 and eventually become daily cigarette smokers at age 35-39 through the use of e-cigarettes in 2014. Overall, the model estimated that e-cigarette use in 2014 would lead to 1,510,000 years of life lost (95% CI: 920,000 to 2,160,000), assuming an optimistic 95% relative harm reduction of e-cigarette use compared to cigarette smoking. As the relative harm reduction decreased, the model estimated a greater number of years of life lost. For example, the model estimated-1,550,000 years of life lost (95% CI: -2,200,000 to -980,000) assuming an approximately 75% relative harm reduction and -1,600,000 years of life lost (95% CI: -2,290,000 to -1,030,000) assuming an approximately 50% relative harm reduction.

conclusionsBased on the existing scientific evidence related to e-cigarettes and optimistic assumptions about the relative harm of e-cigarette use compared to cigarette smoking, e-cigarette use currently represents more population-level harm than benefit. Effective national, state, and local efforts are needed to reduce e-cigarette use among youth and young adults if e-cigarettes are to confer a net population-level benefit in the future.

Indexed as

Electronic Nicotine Delivery SystemsAdolescentAdultChildHumansLife ExpectancyMiddle AgedModels, TheoreticalMonte Carlo MethodSmoking CessationUnited StatesYoung Adult

Identifiers

PMID29538396
PMCPMC5851558
OpenAlexW2792425512

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.