Evidence map›Paper›PMID 34235048›Full record

ArticlePreventive medicine reports2021

Use and perceptions of electronic nicotine delivery systems among patients attending lung cancer screening who smoke.

Lisa M Fucito, Krysten W Bold, Stephen R Baldassarri, John P LaVigne, Bennie Ford, Polly Sather, Stephanie S O'Malley, Benjamin A Toll

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 6 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 3 institutions in 1 country.

Lisa M FucitoDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Krysten W BoldDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Stephen R BaldassarriDepartment of Internal Medicine, Section of Pulmonary, Critical Care & Sleep Medicine, Yale University School of Medicine, New Haven, CT, USA.
John P LaVigneDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Bennie FordDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Polly SatherDepartment of Internal Medicine, Section of Pulmonary, Critical Care & Sleep Medicine, Yale University School of Medicine, New Haven, CT, USA.
Stephanie S O'MalleyDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Benjamin A TollDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
Yale University · USYale Cancer Center · USMedical University of South Carolina · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Center for the Study of Tobacco Product Use and Addiction (YCSTP) Project 2: Addictive Threshold of Nicotine and the Impact of SweetenersU54DA036151 · NIDA · YALE UNIVERSITY · PI SUCHITRA KRISHNAN-SARIN, STEPHANIE S O'MALLEY · 2018 to 2026
$41.6M
Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI KATERINA Abigail POLITI · 2015 to 2026
$31.1M
SUBSTANCE ABUSEK12DA000167 · NIDA · YALE UNIVERSITY · PI STEPHANIE S O'MALLEY, Marc N Potenza · 1991 to 2026
$17.7M
Gain-framed Messages and NRT Sampling to Promote Smoking Cessation in Lung Cancer Screening ProgramsR01CA207229 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI TOLL, BENJAMIN ANDREW · 2016 to 2022
$3.0M
Understanding Factors that Influence Electronic Cigarette Nicotine Delivery Through PET Imaging of Beta-2 Nicotinic Acetylcholine ReceptorsK23DA045957 · NIDA · YALE UNIVERSITY · PI BALDASSARRI, STEPHEN · 2018 to 2022
$983k
NCATS NIH HHS UL1 TR001863NCI NIH HHS P50 CA196530NCI NIH HHS R01 CA207229NIDA NIH HHS K12 DA000167NIDA NIH HHS K23 DA045957NIDA NIH HHS U54 DA036151
6 · The paper itself

Abstract

Given accumulating evidence that electronic nicotine delivery systems (ENDS) may be a harm-reduction alternative to combustible tobacco products, it is important to understand the real-world implications of these devices in the populations that may benefit from them the most. We surveyed the use, perceptions of, and interest in using ENDS among patients attending their initial low-dose CT scan (LDCT) for lung cancer screening (LCS) who reported current smoking, a cohort of older individuals at high-risk for lung cancer and other smoking-related illnesses due to their heavy smoking history (30 or more pack years). Participants (N = 107) completed the survey in clinic immediately before their shared decision-making visit for lung cancer screening on the day of their LDCT. Approximately a quarter of participants reported ever use of ENDS in the past; nearly a third expressed a willingness to try switching to them in the future. Prior ENDS use was significantly associated with willingness to try switching to ENDS in the future. The most common reasons to consider switching included smoking cessation and harm reduction. Only about a third were aware that ENDS are not approved by the FDA for smoking cessation; knowledge significantly varied by demographic and clinical characteristics. These findings have important implications for ENDS public health campaigns and tobacco harm reduction strategies for older individuals who smoke.

Indexed as

Cancer screeningE-cigarettesElectronic nicotine delivery systemsLung cancerNicotine replacement therapyPerceptionsSmokingVaping

Identifiers

PMID34235048
PMCPMC8250441
OpenAlexW3167285988

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.