Risperidone plus lithium versus risperidone plus valproate in acute and continuation treatment of mania
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This exploratory analysis was performed to compare the efficacy and tolerability of risperidone when added to two different mood stabilizers (lithium or valproate) for mania in bipolar disorder. Patients receiving lithium or valproate at baseline were drawn from the database of a 12-week, open-label risperidone study. The primary efficacy measure was the Young Mania Rating Scale (YMRS). Other assessments included the Hamilton Rating Scale for Depression (HAM-D), Clinical Global Impression (CGI) of improvement, and safety measures. The analysis included 33 patients on lithium plus risperidone and 46 patients on valproate plus risperidone. Both subgroups had comparable baseline YMRS scores (lithium 28.2, valproate 28.7) and both had significant reductions in score by week 1 (P<0.0001). Comparable reductions in score continued for both subgroups until the end of the study (YMRS scores at week 12: lithium 4.6 and valproate 6.7). There were no significant differences in response rates (> or =50% improvement on YMRS) or remission rates (YMRS score < or = 8) between the two subgroups. At week 12, 88% of the lithium plus risperidone patients and 80% of the valproate plus risperidone patients were in remission. Similarly, HAM-D scores were significantly and comparably reduced in both subgroups, and improvement in CGI was the same. There was no difference between subgroups in the incidence of adverse events or weight gain. These data suggest that risperidone can be safely combined with either lithium or valproate, and that the efficacy is similar regardless of the mood stabilizer used.
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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 | 0.000 | 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 it