Evidence map›Paper›PMID 27769302›Full record

ArticleBMC public health2016

E-cigarette use and smoking reduction or cessation in the 2010/2011 TUS-CPS longitudinal cohort.

Yuyan Shi, John P Pierce, Martha White, Maya Vijayaraghavan, Wilson Compton, Kevin Conway, Anne M Hartman, Karen Messer

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 4% 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

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

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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

8 authors at 5 institutions in 1 country.

Yuyan ShiCancer Prevention and Control Program, Moores UC San Diego Cancer Center, 3855 Health Sciences Drive #0901, La Jolla, CA, 92093-0901, USA.
John P PierceCancer Prevention and Control Program, Moores UC San Diego Cancer Center, 3855 Health Sciences Drive #0901, La Jolla, CA, 92093-0901, USA.
Martha WhiteDepartment of Family Medicine and Public Health, University of California, San Diego, 9500 Gilman Drive #0628, La Jolla, CA, 92093-0628, USA.
Maya VijayaraghavanDivision of General Internal Medicine/San Francisco General Hospital, University of California, San Francisco, 1545 Divisadero St, San Francisco, CA, 94115, USA.
Wilson ComptonNational Institute on Drug Abuse, National Institutes of Health, 6001 Executive Boulevard, Bethesda, MD, 20892-9589, USA.
Kevin ConwayNational Institute on Drug Abuse, National Institutes of Health, 6001 Executive Boulevard, Bethesda, MD, 20892-9589, USA.
Anne M HartmanTobacco Control Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Karen MesserCancer Prevention and Control Program, Moores UC San Diego Cancer Center, 3855 Health Sciences Drive #0901, La Jolla, CA, 92093-0901, USA. kmesser@ucsd.edu.
University of California, San Diego · USNational Cancer Institute · USNational Institute on Drug Abuse · USNational Institutes of Health · USSan Francisco General Hospital · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
Population studies of cigarette smoking, other tobacco use, and lung cancerR01CA172058 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESSER, KAREN · 2013 to 2015
$601k
NCI NIH HHS P30 CA023100NCI NIH HHS R01 CA172058NIDA NIH HHS HHSN271201100027C
6 · The paper itself

Abstract

backgroundElectronic cigarettes (e-cigarettes) are heavily marketed and widely perceived as helpful for quitting or reducing smoking intensity. We test whether ever-use of e-cigarettes among early adopters was associated with: 1) increased cigarette smoking cessation; and 2) reduced cigarette consumption.

methodsA representative cohort of U.S. smokers (N = 2454) from the 2010 Tobacco Use Supplement to the Current Population Survey (TUS-CPS) was re-interviewed 1 year later. Outcomes were smoking cessation for 30+ days and change in cigarette consumption at follow-up. E-cigarettes use was categorized as for cessation purposes or for another reason. Multivariate regression was used to adjust for demographics and baseline cigarette dependence level.

resultsIn 2011, an estimated 12 % of adult U.S. smokers had ever used e-cigarettes, and 41 % of these reported use to help quit smoking. Smokers who had used e-cigarettes for cessation were less likely to be quit for 30+ days at follow-up, compared to never-users who tried to quit (11.1 % vs 21.6 %; ORadj = 0.44, 95 % CI = 0.2-0.8). Among heavier smokers at baseline (15+ cigarettes per day (CPD)), ever-use of e-cigarettes was not associated with change in smoking consumption. Lighter smokers (<15 CPD) who had ever used e-cigarettes for quitting had stable consumption, while increased consumption was observed among all other lighter smokers, although this difference was not statistically significant.

conclusionsAmong early adopters, ever-use of first generation e-cigarettes to aid quitting cigarette smoking was not associated with improved cessation or with reduced consumption, even among heavier smokers.

Indexed as

Smoking PreventionAdultConsumer BehaviorElectronic Nicotine Delivery SystemsFemaleHumansLongitudinal StudiesMalePopulation SurveillanceSmokingSmoking CessationTobacco Use DisorderUnited StatesYoung AdultElectronic cigarettesSmoking cessationSmoking reduction

Identifiers

PMID27769302
PMCPMC5073733
OpenAlexW2538710403

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.