Evidence map›Paper›PMID 40042845›Full record

ArticleJAMA network open2025

Daily or Nondaily Vaping and Smoking Cessation Among Smokers.

Natalie E Quach, John P Pierce, Jiayu Chen, Brian Dang, Matthew D Stone, David R Strong, Dennis R Trinidad, Sara B McMenamin, Karen Messer

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Trial
  2. Identifying Key Predictors of Smoking Cessation Success: Text-Based Feature Selection Using a Large Language Model.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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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

9 authors.

Natalie E QuachHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.
John P PierceHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.
Jiayu ChenHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.
Brian DangHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.
Matthew D StoneHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.
David R StrongHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.
Dennis R TrinidadHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.
Sara B McMenaminHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.
Karen MesserHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: An important public health goal is to increase tobacco cessation, but there is limited research on associations of vaping with tobacco cessation. Objective: To estimate the association of vaping with long-term tobacco cessation among US cigarette smokers who used electronic nicotine delivery systems (ENDS; ie, e-cigarettes) in 2017. Design, Setting, and Participants: This cohort study used a nationally representative sample of US cigarette smokers from the Population Assessment of Tobacco and Health cohort at wave 4 (2017) with follow-up at wave 6 (2021). Data were analyzed from June 2023 to June 2024. Exposure: Wave 4 ENDS use: daily, nondaily, or no use. Main Outcomes and Measures: The primary outcomes were 12 or more months' abstinence from cigarette smoking and 12 or more months' abstinence from both cigarette and ENDS use, ascertained at wave 6. Propensity score matching was used to control confounding on 14 potential confounders, including interest in quitting, income, age, education, nondaily smoking, and presence of a smoke-free home. Results: A total of 6013 smokers were included in the sample (3634 aged ≥35 years [weighted percentage, 65.2%]; 3182 female [weighted percentage, 46.5%]). Among smokers who vaped daily (228 individuals), an estimated 20.9% (95% CI, 15.0% to 26.8%) were abstinent from cigarette smoking at follow-up, compared with 14.3% abstinence (95% CI, 13.0% to 15.5%) among smokers who did not vape (5070 individuals) and 12.6% abstinence (95% CI, 9.8% to 15.4%) among smokers who vaped nondaily (715 individuals). Compared with similar propensity score-matched smokers who did not vape, smoking cessation was 4.1 percentage points lower among those who vaped daily (95% CI, -11.9 to 3.6 percentage points; P = .30), a nonsignificant difference. Smoking cessation was 5.3 percentage points lower among those who vaped nondaily (95% CI, -9.1 to -1.5 percentage points; P = .01) compared with similar propensity score-matched controls. Considering abstinence from both smoking and vaping, compared with matched controls, smokers who vaped daily had lower abstinence at follow-up by 14.7 percentage points (95% CI, -20.2 to -9.2 percentage points; P < .001), and those who vaped nondaily had lower abstinence by 7.2 percentage points (95% CI, -10.7 to -3.8 percentage points; P < .001). Conclusions and Relevance: In this representative cohort study of US smokers who used ENDS, neither daily nor nondaily vaping was associated with increased smoking cessation, and each was associated with reduced tobacco abstinence, suggesting that careful adjustment of confounding is critical in studies of ENDS and smoking cessation.

Indexed as

SmokersSmoking CessationVapingAdultCohort StudiesElectronic Nicotine Delivery SystemsFemaleHumansMaleMiddle AgedPropensity ScoreUnited States

Identifiers

PMID40042845
PMCPMC11883493

What OpenQuestion holds

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LicenceCC BY
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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.