Real-World Effectiveness of Varenicline Versus Nicotine Replacement Therapy in Patients With and Without Psychiatric Disorders
Bibliographic record
Abstract
OBJECTIVE: To compare the effectiveness and safety of varenicline with nicotine replacement therapy (NRT) among smokers with or without psychiatric disorders attending a storefront smoking cessation clinic in an urban addiction and mental health academic health science center. METHODS: A retrospective chart review was conducted to compare treatment outcomes, demographics, and clinical characteristics for adult smokers prescribed varenicline (n = 98) or NRT (n = 98) between 2007 and 2010. Subjects were matched 1:1 on age, sex, and year of initial assessment. RESULTS: End-of-treatment quit rates were almost twice as high among those prescribed varenicline (33.7%) versus NRT (18.4%) (RR = 1.83, 95% CI = 1.11-3.03, P = 0.02). After adjusting for several baseline and treatment characteristics, varenicline was still significantly more effective than NRT (ARR = 1.71, 95% CI = 1.05-2.79, P = 0.03). History of psychiatric disorder (excluding substance use disorders) and treatment duration were also independent predictors of end-of-treatment quit rates. Nausea was more commonly reported among those using varenicline (13.3% vs 3.1%, P = 0.009). No single neuropsychiatric adverse effect significantly differed between groups; however, overall reporting of any neuropsychiatric effect was somewhat higher in the varenicline group (31.6% vs 20.4%, P = 0.07). There was one incident of suicidal ideation in each medication group. CONCLUSIONS: Varenicline seems to be more effective than NRT and as safe in real-world settings among patients with and without a history of psychiatric disorder.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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".