Induction of mania and cycle acceleration in bipolar disorder: effect of different classes of antidepressant
Bibliographic record
Abstract
OBJECTIVE: To assess the effect of different antidepressants on induction of mania and cycle acceleration, commonly accepted unwanted effects of antidepressant treatment for acute bipolar depression. There is, however, the suggestion that certain classes of antidepressants may be less likely than others to cause these unwanted effects. METHOD: We conducted a prospective, open, naturalistic, life charting study to assess the occurrence of onset of mania and cycle acceleration attributable to two antidepressant classes: selective serotonin reuptake inhibitors (SSRIs) and bupropion. RESULTS: No difference was found between the two drug classes for either antidepressant-induced mania or cycle acceleration. Antidepressant-induced mania was much more likely to occur in bipolar I rather than bipolar II patients. The overall occurrence of induction of mania and cycle acceleration was low across antidepressant classes. CONCLUSION: These findings suggest that there is probably no difference in the risk of antidepressant-induced mania or cycle acceleration across commonly used classes of antidepressants for the treatment of bipolar depression.
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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 | 0.001 | 0.004 |
| 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) | 0.001 | 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".