Relative antidepressant efficacy of bupropion and the selective serotonin reuptake inhibitors in major depressive disorder: gender–age interactions
Bibliographic record
Abstract
To determine whether age/gender-based differences in efficacy exist between bupropion and the selective serotonin reuptake inhibitors for major depressive disorder, we pooled the findings of 10 double-blind studies comparing bupropion with a selective serotonin reuptake inhibitor. Men (N=943) and women (N=1179) were divided into three age groups (younger than 40, 40-55, older than 55). Improvement in terms of the 17-item Hamilton Depression Rating Scale, as well as the Bech melancholia, anxiety-somatization, and insomnia factors of the Hamilton Depression Rating Scale was compared between the two treatment groups. Of 64 pair-wise comparisons, only one was statistically significant. Specifically, more women treated with a selective serotonin reuptake inhibitor experienced a 50% or greater decrease in Hamilton Depression Rating Scale Anxiety-Somatization scores (58.8 versus 63.8%, P=0.0394). No difference, however, was seen in the degree of resolution of Hamilton Depression Rating Scale Anxiety-Somatization scores (continuous measure) between women treated with bupropion versus a selective serotonin reuptake inhibitor (P=0.114). Bupropion and the selective serotonin reuptake inhibitors, thus, appear to be equally effective in treating depressive symptoms, as well as anxious/somatic symptoms and insomnia in depression. No gender-related or age-related differences were found except that greater improvement was seen in anxious/somatic symptoms of depression among women during selective serotonin reuptake inhibitor treatment. This finding could, however, not be replicated when improvement in anxious/somatic symptoms was defined as a continuous measure.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".