ArticleAddiction science & clinical practice2023
Integrated smoking cessation and mood management following acute coronary syndrome: Protocol for the post-acute cardiac event smoking (PACES) trial.
Article in Addiction science & clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03413423 (Secondary Prevention Following Acute Coronary Syndrome Using Integrated Smoking Cessation and Mood Management), which is not on this map. Cited by 4 papers.
What it found
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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.
Secondary Prevention Following Acute Coronary Syndrome Using Integrated Smoking Cessation and Mood Management
Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Anxiety disorder status among black adults who smoke: relations to cessation processes and smoking characteristics.Journal of behavioral medicine · 2026Article
- Evaluating Long-Term Outcomes in STEMI Patients with New Left Bundle Branch Block: The Impact of Modifiable Risk Factors.Journal of personalized medicine · 2024Article
- Development of the first Iranian clinical practice guidelines for the diagnosis, treatment, and secondary prevention of acute coronary syndrome.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024Article
- The development and initial feasibility testing of D-HOMES: a behavioral activation-based intervention for diabetes medication adherence and psychological wellness among people experiencing homelessness.Frontiers in psychology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 7 institutions in 1 country.
Funding
Abstract
backgroundApproximately 400,000 people who smoke cigarettes survive Acute Coronary Syndrome (ACS; unstable angina, ST and non-ST elevation myocardial infarction) each year in the US. Continued smoking following ACS is an independent predictor of mortality. Depressed mood post-ACS is also predictive of mortality, and smokers with depressed mood are less likely to abstain from smoking following an ACS. A single, integrated treatment targeting depressed mood and smoking could be effective in reducing post-ACS mortality. METHOD/
designThe overall aim of the current study is to conduct a fully powered efficacy trial enrolling 324 smokers with ACS and randomizing them to 12 weeks of an integrated smoking cessation and mood management treatment [Behavioral Activation Treatment for Cardiac Smokers (BAT-CS)] or control (smoking cessation and general health education). Both groups will be offered 8 weeks of the nicotine patch if medically cleared. Counseling in both arms will be provided by tobacco treatment specialists. Follow-up assessments will be conducted at end-of-treatment (12-weeks) and 6, 9, and 12 months after hospital discharge. We will track major adverse cardiac events and all-cause mortality for 36 months post-discharge. Primary outcomes are depressed mood and biochemically validated 7-day point prevalence abstinence from smoking over 12 months. DISCUSSION: Results of this study will inform smoking cessation treatments post-ACS and provide unique data on the impact of depressed mood on success of post-ACS health behavior change attempts.
trial registrationClinicalTrials.gov, NCT03413423. Registered 29 January 2018. https://beta. CLINICALTRIALS: gov/study/NCT03413423 .
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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.