Smoking cessation initiated during hospital stay for patients with coronary artery disease: a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Programs for smoking cessation for cardiac patients are underused in Canada. We examined the efficacy of an intervention for smoking cessation for patients admitted to hospital for coronary artery bypass graft (CABG) or because of acute myocardial infarction (MI). METHODS: Nurses randomly assigned 276 sequential patients admitted because of acute MI or for CABG who met the inclusion criteria. Participants received an intensive or minimal smoking-cessation intervention. The minimal intervention included advice from physicians and nurses and 2 pamphlets. The intensive intervention included the minimal intervention plus 60 minutes of bedside counselling, take-home materials and 7 nurse-initiated counselling calls for 2 months after discharge. The outcomes were point prevalence of abstinence at 3, 6 and 12 months after discharge. RESULTS: The 12-month self-reported rate of abstinence was 62% among patients in the intensive group and 46% among those in the minimal group (odds ratio [OR] 2.0, 95% confidence interval [CI] 1.2-3.1). Abstinence was confirmed for 54% of patients in the intensive group and 35% in the minimal group (OR 2.0, 95% CI 1.3-3.6). Abstinence was significantly lower among those who used pharmacotherapy than among those who did not (p < 0.001). Continuous 12-month abstinence was 57% in the intensive group and 39% in the minimal group (p < 0.01). It was significantly higher among patients admitted for CABG than among those admitted because of acute MI (p < 0.05). INTERPRETATION: Providing intensive programs for smoking cessation for patients admitted for CABG or because of acute MI could have a major impact on health and health care costs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".