Extended Duration Treatment of Tobacco Dependence: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Abstract Rationale The American Thoracic Society (ATS) developed a clinical practice guideline on initiating pharmacologic treatment in tobacco-dependent adults. Controller pharmacotherapies treat tobacco dependence effectively when taken as prescribed, but relapse after pharmacologic discontinuation is common. Objectives To evaluate the effectiveness and safety of initiating controller for an extended (>12 wk) versus a standard duration (6–12 wk) in tobacco-dependent adults. Methods We systematically searched PubMed, Excerpta Medica Database, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Central Register of Controlled Trials from database inception to December 2021 to identify randomized controlled trials comparing extended versus standard duration of controllers for tobacco-dependent adults. We conducted meta-analyses using the Mantel-Haenszel method with random effects model. Outcomes of interest include point-prevalent abstinence at 1-year follow-up or longer, relapse, adverse events, quality of life, and withdrawal symptoms. Subgroup analyses were conducted according to types of treatment and duration of extended therapy when feasible. We assessed the certainty of the estimate following the grading of recommendations, assessment, development and evaluation methodology. Results We included 13 randomized controlled trials including 8,695 participants that directly compared extended- (>12 wk) versus standard-duration controller therapy with varenicline, bupropion, or nicotine replacement therapy. Compared with standard-duration controller therapy, extended-duration controller therapy probably increased abstinence at 1-year follow-up, measured as 7-day point-prevalence abstinence (relative risk, 1.18; 95% confidence interval [CI], 1.05–1.33; moderate certainty). Extended-duration controller therapy probably reduced relapse compared with standard-duration controller therapy, assessed at 12–18 months after initiation of therapy (hazard ratio, 0.43; 95% CI, 0.29–0.64; moderate certainty). Moderate certainty evidence also suggested that extended-duration controller therapy probably did not increase risk of serious adverse events (relative risk, 1.37; 95% CI, 0.79–2.36). Conclusions This systematic review supported the recommendation for extended-duration therapy with controllers. Further studies on optimal extended duration are warranted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.021 | 0.031 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".