Evidence map›Paper›PMID 27697953›Full record

ArticleTobacco control2016

Long-term e-cigarette use and smoking cessation: a longitudinal study with US population.

Yue-Lin Zhuang, Sharon E Cummins, Jessica Y Sun, Shu-Hong Zhu

Abstract read
In one paragraph

Article in Tobacco control, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 4 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

91 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Trial
  6. IQOSInternational journal of environmental research and public health · 2018
    Trial
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  8. A Naturalistic, Randomized Pilot Trial of E-Cigarettes: Uptake, Exposure, and Behavioral Effects.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Trial
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  13. The Message That E-Cigarettes Are Less Harmful Than Combustible Cigarettes Is Not Getting Through.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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31 more citing papers are in PubMed but not listed here.

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.

Yue-Lin ZhuangMoores Cancer Center, University of California, San Diego, La Jolla, California, USA.
Sharon E CumminsMoores Cancer Center, University of California, San Diego, La Jolla, California, USA.
Jessica Y SunMoores Cancer Center, University of California, San Diego, La Jolla, California, USA.
Shu-Hong ZhuMoores Cancer Center, University of California, San Diego, La Jolla, California, USA.

Funding

Nonsmokers and Tobacco Control Norms: Population Surveys and Intervention StudiesU01CA154280 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHU, SHU-HONG · 2011 to 2015
$7.9M
NCI NIH HHS U01 CA154280
6 · The paper itself

Abstract

backgroundE-cigarettes have grown popular. The most common pattern is dual use with conventional cigarettes. Dual use has raised concerns that it might delay quitting of cigarette smoking. This study examined the relationship between long-term use of e-cigarettes and smoking cessation in a 2-year period.

methodsA nationally representative sample of 2028 US smokers were surveyed in 2012 and 2014. Long-term e-cigarette use was defined as using e-cigarettes at baseline and follow-up. Use of e-cigarettes only at baseline or at follow-up was defined as short-term use. Non-users did not use e-cigarettes at either survey. Quit attempt rates and cessation rates (abstinent for 3 months or longer) were compared across the three groups.

resultsAt 2-year follow-up, 43.7% of baseline dual users were still using e-cigarettes. Long-term e-cigarette users had a higher quit attempt rate than short-term or non-users (72.6% vs 53.8% and 45.5%, respectively), and a higher cessation rate (42.4% vs 14.2% and 15.6%, respectively). The difference in cessation rate between long-term users and non-users remained significant after adjusting for baseline variables, OR=4.1 (95% CI 1.5 to 11.4) as did the difference between long-term users and short-term users, OR=4.8 (95% CI 1.6 to 13.9). The difference in cessation rate between short-term users and non-users was not significant, OR=0.9 (95% CI 0.5 to 1.4). Among those making a quit attempt, use of e-cigarettes as a cessation aid surpassed that of FDA-approved pharmacotherapy.

conclusionsShort-term e-cigarette use was not associated with a lower rate of smoking cessation. Long-term use of e-cigarettes was associated with a higher rate of quitting smoking.

Indexed as

Electronic Nicotine Delivery SystemsTobacco Use Cessation DevicesAdolescentAdultAgedFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedSmoking CessationSmoking PreventionSurveys and QuestionnairesTime FactorsYoung AdultCessationElectronic nicotine delivery devicesPublic policy

Identifiers

PMID27697953
PMCPMC5099206

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.