A randomized, open‐label pilot comparison of gabapentin and bupropion SR for smoking cessation
Bibliographic record
Abstract
This 6-week, randomized, open-label pilot study estimated the treatment effect size of gabapentin (n = 17) compared with bupropion SR (n = 19) for smoking cessation, thereby allowing sample size calculations for a definitive comparison study. The primary outcome measure was smoking cessation. Secondary outcome measures included smoking reduction and withdrawal severity. Gabapentin was less efficacious than bupropion for smoking cessation but was associated with fewer dropouts from adverse effects. Withdrawal severity was less with bupropion. Bupropion remains the first-line non-nicotine pharmacotherapy for smoking cessation. Further study is required to determine if gabapentin has any useful role in smoking cessation. Based on our primary outcome measure, 79 subjects would be required in each treatment group of a two-armed study to achieve 90% power for detecting a difference in efficacy between gabapentin and bupropion.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".