Efficacy of cariprazine in bipolar I depression across patient characteristics: a post hoc analysis of pooled randomized, placebo-controlled studies
Bibliographic record
Abstract
Patients who experience bipolar depression have diverse demographic and clinical characteristics that have the potential to impact treatment. The efficacy of cariprazine in bipolar I depression was evaluated in patient subgroups defined by baseline demographic and clinical characteristics. Post hoc analyses of data from three randomized, double-blind, placebo-controlled trials in bipolar I depression (NCT01396447, NCT02670538 and NCT02670551) evaluated mean change from baseline in Montgomery-Åsberg Depression Rating Scale (MADRS) total scores for pooled cariprazine 1.5-3 mg/d versus placebo in subgroups defined by demographic and clinical characteristics. The least-squares mean difference in MADRS total score change from baseline was statistically significant for cariprazine 1.5-3 mg/d versus placebo in all patient subgroups analyzed (P < 0.05 all subgroups): demographic characteristics (age, sex, white or black race and obese/nonobese BMI); episode characteristics (defined by current episode duration, number of previous manic/mixed and depressive episodes, and prior bipolar disorder medication use) and disease severity (groups above and below Clinical Global Impressions-Severity and MADRS cutoff scores). Cariprazine 1.5-3 mg/d consistently improved depressive symptoms in all patient subgroups without regard to differences in baseline demographic and clinical characteristics, suggesting broad efficacy across a spectrum of patients with bipolar I depression.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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".