Trial reportDrug and alcohol dependence2018
Smokers with bipolar disorder, other affective disorders, and no mental health conditions: Comparison of baseline characteristics and success at quitting in a large 12-month behavioral intervention randomized trial.
Trial report in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 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
6 citing papers in PubMed, 3 syntheses or guidelines pooled it, 10 citations in OpenAlex.
- Effectiveness and Experience of Implementing Digital Interventions to Promote Smoking Cessation Among Adults With Severe Mental Illness: A Systematic Review and Meta-analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Pooled it
- Digital health behaviour change interventions in severe mental illness: a systematic review.Psychological medicine · 2023Pooled it
- Mindfulness for smoking cessation.The Cochrane database of systematic reviews · 2022Pooled it
- Pilot Randomized Controlled Trial of Web-Delivered Acceptance and Commitment Therapy Versus Smokefree.gov for Smokers With Bipolar Disorder.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020Trial
- The effect of a real-world intervention for smoking cessation in Adults with and without comorbid psychiatric and substance use disorders: A one-year follow-up study.Psychiatry research · 2022Article
- Smoking Cessation Apps for People with Schizophrenia: How Feasible Are m-Health Approaches?Behavioral sciences (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe extent to which smokers with bipolar disorder (BD) differ from other smokers on cessation-related characteristics and outcomes is unknown and could improve knowledge of treatment needs for this group. These analyses compared smokers with BD versus smokers with other affective disorders (ADs; anxiety and unipolar depression) and smokers with no mental health conditions (MHCs).
methodParticipants (n = 2570) were a subsample of those enrolled in a smoking cessation trial comparing two web-delivered intervention approaches: acceptance and commitment therapy (ACT) and cognitive behavioral therapy. Those included in this analysis self-reported having BD (n = 221), other ADs (n = 783) or no major MHCs (n = 1566). Surveys assessed baseline characteristics and self-reported abstinence at 3, 6, and 12-months post-randomization. Treatment utilization was tracked via page views.
resultsSmokers with BD were distinct from both AD and no MHC smokers on the majority of baseline characteristics. At 12-months, quit rates were lower for smokers with BD (20%) than no MHCs (29%; p = 0.01), but no different than other ADs (20%; p = .467). Interactions between treatment assignment and diagnostic group were non-significant for cessation outcome. The number of logins was higher for smokers with BD than AD in the ACT arm only (p = .001), but this finding was not replicated across other utilization indicators.
conclusionsSmokers with BD and other ADs had similar long-term quit rates despite numerous differences in baseline characteristics. Despite being lower than for smokers without MHCs, long-term quit rates from web-based treatment are promising for smokers with BD as well as other ADs.
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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.