Trial reportAddiction (Abingdon, England)2022
The Stop-tabac smartphone application for smoking cessation: a randomized controlled trial.
Trial report in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
26 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Korean Clinical Practice Guideline of Korean Society for Research on Nicotine and Tobacco (KSRNT) and National Evidence-based Healthcare Collaborating Agency (NECA) on Treatment of Tobacco Use 2024.Journal of Korean medical science · 2025Guideline
- Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- Effectiveness of eHealth Smoking Cessation Interventions: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2023Pooled it
- The Effectiveness of Smartphone App-Based Interventions for Assisting Smoking Cessation: Systematic Review and Meta-analysis.Journal of medical Internet research · 2023Pooled it
- ACT on Vaping: Pilot Randomized Controlled Trial of a Novel Digital Health App With Text Messaging for Young Adult Vaping Cessation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026Trial
- Efficacy and long-term engagement of a WeChat-integrated modality versus a traditional quitline on smoking cessation in China: a randomised controlled trial.BMC medicine · 2026Trial
- Behavioral Activation mHealth Application for Smoking Cessation: A Randomized Controlled Pilot Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Trial
- Long-Term Outcomes of a Comprehensive Mobile Smoking Cessation Program With Nicotine Replacement Therapy in Adult Smokers: Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2023Trial
- Predicting smoking cessation, reduction and relapse six months after using the Stop-Tabac app for smartphones: a machine learning analysis.BMC public health · 2023Trial
- Predicting the Users' Level of Engagement with a Smartphone Application for Smoking Cessation: Randomized Trial and Machine Learning Analysis.European addiction research · 2023Trial
- The Stop-tabac smartphone application for smoking cessation: a randomized controlled trial.Addiction (Abingdon, England) · 2022Trial
- Willingness to use video-game or gamified application-based interventions to improve or strengthen emotional regulation, mental health, and mental well-being.Internet interventions · 2026Article
- Restoring Engagement in Digital Self-Control Tools Using Nudge Reconfiguration Prompts: Quasi-Experimental Study.JMIR formative research · 2026Article
- Digital Therapies for Substance Use Disorders: Recent Advances and Engagement Strategies.Substance abuse and rehabilitation · 2026Review
- Gamified Physical-Digital Smoking Cessation Intervention for Young Adults: Mixed Methods Development and Usability Study.JMIR human factors · 2025Article
- Exploring relationships among smoking cessation app use, smoking behavioral outcomes, and pharmacotherapy utilization among individuals who smoke cigarettes.Addictive behaviors · 2025Article
- Effectiveness of Digital Intervention for Tobacco Cessation Among Adults: A Systematic Review.Addiction & health · 2025Review
- Feasibility and Engagement of a Mobile App Preparation Program (Kwit) for Smoking Cessation in an Ecological Context: Quantitative Study.JMIR mHealth and uHealth · 2024Article
- Efficacy of e-health interventions for smoking cessation management in smokers: a systematic review and meta-analysis.EClinicalMedicine · 2024Article
- Effectiveness of the QuitSure Smartphone App for Smoking Cessation: Findings of a Prospective Single Arm Trial.JMIR formative research · 2023Article
Corrections and comments
- Erratum issuedCorrigendum.2023
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo test whether the Stop-tabac smartphone application (app) increased smoking cessation rates.
designA two-arm, parallel-group, individually randomized, double-blind, controlled trial. SETTING AND
participantsA total of 5293 daily smokers (Stop-tabac = 2639, control = 2654) enrolled on app stores and on the internet in 2019-20, who lived in France or Switzerland. INTERVENTION AND COMPARATOR: The Stop-tabac application includes immediate feedback during episodes of craving and withdrawal; individually tailored counseling messages with notifications sent during 6 months; a discussion forum; fact sheets; modules on nicotine replacement therapy and e-cigarettes; and calculators of cigarettes not smoked, money saved and days of life gained since quitting. The control application included five brief pages and calculators as above. MEASUREMENTS: Primary outcome: self-reported smoking cessation after 6 months (no puff of tobacco in the past 4 weeks), with non-responders counted as smokers. SECONDARY OUTCOME: self-reported use of nicotine medications.
findingsParticipants were aged 36 years on average; 66% were women who smoked 15 cigarettes/day, and 64% screened positive for depression. Stop-tabac participants used the app over a longer period than control participants (23 versus 11 days, P < 0.001). Smoking cessation rates after 6 months were 9.9% in the Stop-tabac group versus 10.3% in the control group (odds ratio = 0.96, 95% confidence interval = 0.80-1.45, P = 0.63). Rates of use of nicotine medications after entry in the study were 38 versus 30% after 6 months (χ
conclusionsIn smokers enrolled on the app stores and the internet, allocation to the Stop-tabac smoking cessation app did not increase smoking cessation rates, but increased rates of use of nicotine medications.
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What OpenQuestion holds
Registered trials
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.