Management of Depressive Symptoms in Schizophrenia
Bibliographic record
Abstract
BACKGROUND: Although depressive symptoms are a frequently occurring phenomenon in schizophrenia, effective treatments remain an area of clinical need. OBJECTIVE: To assess the benefit of short-term treatment with the atypical antipsychotic asenapine versus placebo on depressive symptoms in patients with acute schizophrenia in an exacerbated state. METHODS: Data were pooled from intent-to-treat (ITT) populations of three 6-week, randomized controlled studies with fixed doses of asenapine (ASE; n=427), olanzapine (OLA; n=82), risperidone (RIS; n=54), haloperidol (HAL; n=97), or placebo (PLA; n=254). Change from baseline Calgary Depression Scale for Schizophrenia (CDSS) total score and individual item scores were assessed at Day 21 and Day 42 in the total patient population (n=914), and in patients presenting with a CDSS total score of .6 at baseline (n=248). Mixed model repeated measures (MMRM) analyses were performed on patient data. RESULTS: The observed change from baseline in CDSS total score was significantly larger with ASE.compared to PLA.at both Day 21 (p<0.05) and Day 42 (p<0.01) for the total patient population group, and at Day 21 (p<0.05) in patients with baseline CDSS total score .6. For both populations, there was a significant change from baseline in the CDSS depression item score with ASE.compared to PLA.at Day 21 (p<0.01, all patient population; p<0.05, patients with baseline CDSS .6), and at Day 42 (p<0.01) in the all patient population. Statistically significant changes from baseline, in favor of ASE versus PLA, were also observed in other individual CDSS item scores including hopelessness (p<0.05, Day 21, patients with baseline CDSS .6), self-depreciation (p<0.05, Day 42, all patient population), guilty ideas of reference (p<0.01, Day 42, all patient population), pathological guilt (p<0.01, Day 21, all patient population; p<0.05, Day 21 and Day 42, patients with baseline CDSS score .6), and observed depression (p<0.05, Day 21, all patient population). CONCLUSIONS: ASE significantly improved a range of depressive symptoms in people with an acute exacerbation of schizophrenia, as measured by the CDSS. ASE may represent a beneficial treatment option for the management of depressive symptoms in patients with schizophrenia.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".