In search of optimal lithium levels and olanzapine doses in the long-term treatment of bipolar I disorder. A post-hoc analysis of the maintenance study by Tohen et al. 2005
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Bibliographic record
Abstract
PURPOSE: The aim of this study was to investigate whether lower lithium levels (LoLi) or olanzapine doses (LoOL) are risk factors for future mood episodes in patients with bipolar I disorder. METHODS: A post-hoc analysis of the olanzapine-lithium-maintenance study [31] was performed using proportional hazards Cox regression models and marginal structural models (MSMs), adjusting for non-random assignments of dose during treatment. RESULTS: The LoLi group (<0.6 mmol/L) had a significantly increased risk of manic/mixed (hazard ratio [HR]=1.96, p=0.042), but not depressive (HR=2.11, p=0.272) episodes, compared to the combined medium (0.6-0.79 mmol/L) and high lithium level (≥0.8 mmol/L) groups. There was no significant difference in risk between the two higher lithium level groups (0.6-0.79 mmol/L; ≥0.8 mmol/L) for new manic/mixed (HR=0.96, p=0.893) or depressive (HR=0.95, p=0.922) episodes. The LoOL group (<10mg/day) showed a significantly increased risk of depressive (HR=2.24, p=0.025) episodes compared to the higher olanzapine (HiOL) dose group (HiOL: 10-20 mg/day), while there was no statistically significant difference in risk for manic/mixed episodes between the two groups (HR=0.94, p=0.895). CONCLUSION: Lithium levels≥0.6 mmol/L and olanzapine doses≥10mg/day may be necessary for optimal protection against manic/mixed or depressive episodes, respectively in patients with bipolar I disorder.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it