Evidence map›Paper›PMID 39902147›Full record

ArticleTobacco prevention & cessation2025

Efficacy of e-cigarettes for smoking cessation in populations with psychiatric and/or substance use problems: A secondary analysis of a randomized controlled trial.

Stéphanie Baggio, Philip Bruggmann, Anna Schoeni, Nazanin Abolhassani, Kali Tal, Susanne Pohle, Anja Frei, Jean-Paul Humair, Isabelle Jacot-Sadowski, Janine Vetsch and 8 more

Abstract read
In one paragraph

Article in Tobacco prevention & cessation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 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

5 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Electronic cigarettes for smoking cessation.The Cochrane database of systematic reviews · 2026
    Pooled it
  2. Pooled it
  3. Electronic cigarettes for smoking cessation.The Cochrane database of systematic reviews · 2025
    Pooled it
  4. Trial
  5. Trial
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

18 authors.

Stéphanie BaggioInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Philip BruggmannArud Centre for Addiction Medicine, Zurich, Switzerland.
Anna SchoeniInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Nazanin AbolhassaniInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Kali TalInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Susanne PohleLung Center, Kantonsspital St. Gallen, St. Gallen, Switzerland.
Anja FreiEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Jean-Paul HumairDepartment of Primary Care Medicine, University Hospitals of Geneva, Geneva, Switzerland.
Isabelle Jacot-SadowskiCentre for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
Janine VetschInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Luca LehnerInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Anna RihsInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Laurent GétazDivision of Prison Health, Geneva University Hospitals, Geneva, Switzerland.
Aurélie BerthetCentre for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
Moa HallerInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Mirah StuberInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Julian JakobInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Reto AuerInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPeople with psychiatric and substance use disorders are more likely to smoke and less likely to quit than smokers in the general population. We evaluated the efficacy of e-cigarettes for abstinence from tobacco smoking in people with psychiatric and substance use problems.

methodsWe analyzed data collected in the larger 'Efficacy, Safety, and Toxicology of ENDS as an Aid for Smoking Cessation' (ESTxENDS) trial (n=1246): the intervention group received e-cigarettes and e-liquids, plus standard-of-care smoking cessation counseling (SOC) for 6 months; the control group received SOC and a voucher. The primary outcome was biochemically validated continuous self-reported abstinence at 6 months; secondary outcomes included 6-month and 7-day self-reported abstinence. We calculated adjusted relative risks (ARR) for two subsamples meeting these conditions at the baseline visit: 1) psychotropic medication use; and 2) problematic substance or polysubstance use.

resultsAmong the participants using psychotropic medications (n=239), the ARR for validated abstinence was 2.62 (95% CI: 1.40-4.90) in the intervention group versus the control group, 2.95 (95% CI: 1.72-5.07) for 6-month and 2.96 (95% CI: 1.92-4.55) for 7-day self-reported abstinence, while among participants with problematic substance or polysubstance use (n=818), the ARR was 1.57 (95% CI: 1.20-2.04), 1.42 (95% CI: 1.15-1.74), and 1.53 (95% CI: 1.31-1.79), respectively.

conclusionsAdding e-cigarettes to standard-of-care counseling increased the likelihood that participants with psychiatric and substance use problems would abstain from smoking, but larger studies should test the efficacy and safety of smoking cessation interventions in this often-marginalized population.

Indexed as

disparitiesmental disordersrandomized controlled trialsmoking cessation

Identifiers

PMID39902147
PMCPMC11788852

What OpenQuestion holds

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Registered trials

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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.