One‐year outcome with antidepressant – treatment of bipolar depression
Bibliographic record
Abstract
OBJECTIVE: To examine the risk of relapse into mania or depression with varying duration of antidepressant treatment in a cohort of 59 patients with bipolar disorder. METHOD: An open naturalistic evaluation using life charting methods of patients with 1 year follow-up, who responded to antidepressant treatment and who then less or more than 6 months of antidepressant treatment. RESULTS: Patients who received more than 6 months of antidepressant treatment were less likely to relapse into depression at follow-up of 1 year. There was no difference in relapse rates for mania in the different antidepressant treatment duration groups. Gender and bipolar subtype did not significantly affect relapse rates for depression or mania. CONCLUSION: Our data, taken with other studies, suggest that the duration of optimal antidepressant treatment in bipolar disorder must be further evaluated.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".