Abstract P090: The Effect of Bupropion on Symptoms of Depression Among Patients Attempting to Quit Smoking Post-Myocardial Infarction: The ZESCA Trial
Bibliographic record
Abstract
Background: Bupropion is a smoking cessation drug that can be prescribed immediately following a myocardial infarction (MI). Depression is prevalent during this period, and bupropion, which can also be prescribed as an anti-depressant, may improve symptoms of depression in this population. Methods: The ZESCA Trial is a randomized, double-blind, placebo-controlled trial that examined the efficacy of bupropion as a smoking cessation therapy in 392 hospitalized MI patients. Treatment duration was 9 weeks, and follow-up was 12 months. Depressive symptomatology was defined by a Beck Depression Inventory-II (BDI-II) score > 14. A total of 4 patients were missing baseline BDI-II scores and were excluded from this analysis. Differences in changes in depressive symptomatology from baseline were examined overall and in those with symptoms of depression at baseline. Results: The mean age was 53.9 years (standard deviation [SD] = 10.3), and 84% were male. A total of 20% of patients had depressive symptomatology at baseline. The median BDI-II score was 6.0 (inter-quartile range [IQR] = 2.0, 12.0) overall and 19.0 (16.0, 25.0) among those with depressive symptomatology at baseline. The mean BDI-II score was similar between treatment groups throughout the follow-up period (Figure). Similarly, there were no differences in BDI-II score between treatment groups at baseline or 9 weeks when restricted to those with depressive symptomatology at baseline. In this group, patients randomized to bupropion had a higher BDI-II score at 12 months (bupropion - placebo = 5.98, 95% confidence interval = 0.92, 11.04); the difference is likely due to differential participation at 12 months. At all follow-up visits, there were no differences in change in BDI-II score between treatment groups, both in the overall study population and in those with depressive symptomatology at baseline. Conclusions: Our results suggest that bupropion does not improve symptoms of depression in patients who are attempting to quit smoking post-MI.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".