Mood stabilisers plus risperidone or placebo in the treatment of acute mania
Bibliographic record
Abstract
BACKGROUND: Few double-blind trials have examined the efficacy of a combination of a mood stabiliser and an atypical antipsychotic in acute mania. AIMS: To determine the efficacy of risperidone in combination with a mood stabiliser in acute mania. METHOD: Patients taking a mood stabiliser were randomised to 3 weeks' treatment with risperidone (n=75) or placebo (n=76). RESULTS: Young Mania Rating Scale (YMRS) scores improved rapidly with significantly greater reductions at week 1 in the risperidone group compared with the placebo group. At end-point YMRS scores decreased by 14.5 and 10.3 points in the risperidone and placebo groups, respectively. Significant improvements v. placebo (P<0.05) were noted in the risperidone group on several other clinically meaningful measures. Additionally, a post hoc analysis excluding carbamazepine-treated patients (plasma concentrations of risperidone active moiety were 40% lower in this group) revealed significantly greater reductions (P=0.047) in YMRS scores in the risperidone group than in the placebo group. Incidence of adverse events was similar in both groups. CONCLUSIONS: Risperidone is superior to placebo when used in combination with lithium or divalproex in acute mania.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".