Previous mood state predicts response and switch rates in patients with bipolar depression
Bibliographic record
Abstract
OBJECTIVE: The treatment of bipolar depression is a significant clinical problem that remains understudied. The role for antidepressant (AD) agents vs. mood stabilizers has been particularly problematic to ascertain. METHOD: Detailed life charting data from 42 patients with 67 depressive episodes were reviewed. Response rates and rates of switch into mania were compared based on the preceding mood state and on whether an AD or mood stabilizing (MS) agent was added following onset of depression. RESULTS: Patients who became depressed following a period of euthymia were more likely to respond to treatment (62.5%) than patients who became depressed following a period of mania or hypomania (27.9%). The ratio of response to switch for previously euthymic patients was particularly favorable. CONCLUSION: Mood state prior to onset of depression in bipolar disorder appears to be an important clinical variable that may guide both choice of treatment administered and expectation of outcome to treatment.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".