Evidence map›Paper›PMID 41212103›Full record

SynthesisThe Cochrane database of systematic reviews2025

Electronic cigarettes for smoking cessation.

Nicola Lindson, Jonathan Livingstone-Banks, Ailsa R Butler, Hayden McRobbie, Christopher R Bullen, Peter Hajek, Angela Difeng Wu, Rachna Begh, Annika Theodoulou, Caitlin Notley and 4 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Patterns of e-Cigarette Use and Smoking Cessation Outcomes: Secondary Analysis of a Large Randomised Controlled Trial to Inform Clinical Advice.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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  17. Reduced-nicotine cigarettes for smoking cessation and reduction.The Cochrane database of systematic reviews · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Nicola LindsonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Jonathan Livingstone-BanksNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Ailsa R ButlerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Hayden McRobbieWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Christopher R BullenGeneral Practice and Primary Care, School of Population Health, University of Auckland, Auckland, New Zealand.
Peter HajekWolfson Institute of Population Health, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Angela Difeng WuNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Rachna BeghNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Annika TheodoulouNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Caitlin NotleyNorwich Medical School, University of East Anglia, Norwich, UK.
Nancy A RigottiTobacco Research and Treatment Center, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Tari TurnerCochrane Australia, School of Public Health & Preventive Medicine, Monash University, Melbourne, Australia.
Thomas FanshaweNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Jamie Hartmann-BoyceDepartment of Health Promotion and Policy, University of Massachusetts, Amherst, MA, USA.ORCID 0000-0001-9898-3049

Funding

Research Project 3: Modeling the Impact of Tobacco Control Policies on Polytobacco Use and Associated Health DisparitiesU54CA229974 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Abigail S. Friedman · 2018 to 2026
$39.2M
NCI NIH HHS U54 CA229974
6 · The paper itself

Abstract

rationaleElectronic cigarettes (EC) are handheld electronic vaping devices that produce an aerosol by heating a liquid. People who smoke, healthcare providers, and regulators want to know if EC can help people quit smoking, and if they are safe to use for this purpose. This review update was conducted as part of a living systematic review.

objectivesTo examine the safety, tolerability, and effectiveness of EC for helping people who smoke tobacco achieve long-term smoking abstinence, in comparison to non-nicotine EC, other smoking cessation treatments, and no treatment. SEARCH

methodsWe searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and PsycINFO to 1 March 2025, reference-checked, and contacted study authors. ELIGIBILITY CRITERIA: We included trials randomising people who smoked to an EC or control condition. We also included uncontrolled intervention studies where all participants received an EC intervention. Studies had to measure an eligible outcome. OUTCOMES: Critical outcomes were abstinence from smoking after at least six months, adverse events (AEs), and serious adverse events (SAEs). Important outcomes were biomarkers, toxicants/carcinogens, and longer-term EC use. RISK OF BIAS: We used the RoB 1 tool to assess risk of bias for each study and GRADE to assess evidence certainty. SYNTHESIS

methodsWe followed standard Cochrane methods for screening and data extraction. Where appropriate, we pooled data using random-effects models to calculate risk ratios (RRs) with 95% confidence intervals (CIs) for dichotomous outcomes. For continuous outcomes, we calculated mean differences with 95% CIs. INCLUDED STUDIES: We included 104 completed studies (14 new to this update), representing 30,366 participants, of which 61 were randomised controlled trials (RCTs). We rated 11 included studies as being at low risk of bias, 70 at high risk (including all non-randomised studies), and the remainder at unclear risk overall. SYNTHESIS OF

resultsNicotine EC result in increased quit rates compared to nicotine replacement therapy (NRT) (high-certainty evidence) (RR 1.55, 95% CI 1.28 to 1.88; I² = 0%; 9 studies, 2703 participants). In absolute terms, this might translate to an additional three quitters per 100 (95% CI 2 to 5 more). The rate of occurrence of AEs is probably similar between groups (moderate-certainty evidence (limited by imprecision)) (RR 1.00, 95% CI 0.73 to 1.37; I² = 58%; 7 studies, 2241 participants). SAEs were rare, and there is insufficient evidence to determine whether rates differ between groups due to very serious imprecision (RR 1.22, 95% CI 0.73 to 2.03; I² = 30%; 8 studies, 2950 participants; low-certainty evidence). Nicotine EC probably result in increased quit rates compared to non-nicotine EC (moderate-certainty evidence, limited by imprecision) (RR 1.34, 95% CI 1.06 to 1.70; I² = 0%; 7 studies, 1918 participants). In absolute terms, this might lead to an additional two quitters per 100 (95% CI 0 to 4 more). There is probably little to no difference in the rate of AEs between these groups (moderate-certainty evidence) (RR 1.01, 95% CI 0.95 to 1.08; I² = 0%; 5 studies, 840 participants). There is insufficient evidence to determine whether rates of SAEs differ between groups, due to very serious imprecision (RR 0.98, 95% CI 0.55 to 1.73; I² = 0%; 10 studies, 1717 participants; low-certainty evidence). Compared to behavioural support only or no support, quit rates may be higher for participants randomised to nicotine EC (low-certainty evidence due to risk of bias) (RR 1.78, 95% CI 1.42 to 2.25; I² = 13%; 11 studies, 6819 participants). In absolute terms, this represents an additional three quitters per 100 (95% CI 2 to 5 more). There was some evidence that (non-serious) AEs may be more common in people randomised to nicotine EC (RR 1.22, 95% CI 0.96 to 1.55; I² = 66%; 8 studies, 2485 participants; very low-certainty evidence) but the evidence is uncertain and, again, there was insufficient evidence to determine whether rates of SAEs differed between groups (RR 0.93, 95% CI 0.67 to 1.29; I² = 0%; 15 studies, 4716 participants; very low-certainty evidence). Data from non-randomised studies were consistent with RCT data. The most commonly reported AEs were throat/mouth irritation, headache, cough, and nausea, which tended to dissipate with continued EC use. Very few studies reported data on other outcomes or comparisons; hence, evidence for these is limited, with CIs often encompassing both clinically significant harm and benefit. AUTHORS'

conclusionsThere is high-certainty evidence that nicotine EC increase quit rates compared to NRT, and moderate-certainty evidence that they probably increase quit rates compared to EC without nicotine. Evidence comparing nicotine EC with behavioural support or no support also suggests benefit, but is less certain due to risk of bias inherent in the study designs. CIs were, for the most part, wide for data on AEs, SAEs, and other safety markers, with no evidence of a difference in AEs between nicotine and non-nicotine EC nor between nicotine EC and NRT, but low-certainty evidence for increased AEs compared with behavioural support/no support. Overall incidence of SAEs was low across all study arms. We did not detect evidence of serious harm from nicotine EC, but longer, larger trials are needed to fully evaluate safety. Included studies tested regulated nicotine-containing EC; illicit products and/or products containing other active substances (e.g. tetrahydrocannabinol (THC)) may have different harm profiles. The main limitation of the evidence base remains imprecision for some comparisons and for safety outcomes due to the relatively small number of RCTs contributing, often with low event rates. Further RCTs are underway. To ensure the review continues to provide up-to-date information to decision-makers, this is a living systematic review. We run and screen searches monthly, with the review updated when relevant new evidence becomes available. Please refer to the Cochrane Database of Systematic Reviews for the review's current status.

fundingCancer Research UK (PICCTR-2024/100012). REGISTRATION: Original 2012 protocol available via DOI: 10.1002/14651858.CD010216. Updated 2023 protocol available via DOI 10.17605/OSF.IO/ZWGSK (https://osf.io/ZWGSK/). 2025 updates to protocol available via DOI: 10.17605/OSF.IO/59M4U (https://osf.io/59M4U/) and DOI: 10.17605/OSF.IO/UPGJC (https://osf.io/UPGJC/).

Indexed as

Electronic Nicotine Delivery SystemsSmoking CessationBiasHumansNicotineRandomized Controlled Trials as TopicVapingNicotine

Identifiers

PMID41212103
PMCPMC12599494

What Socratic holds

Textmetadata
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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 Socratic graph.