Safety and Effectiveness of Lurasidone in Patients with Schizophrenia: A 12-Week, Open-Label Extension Study
Bibliographic record
Abstract
PURPOSE: The goal of this study was to evaluate the safety and effectiveness of lurasidone among patients with schizophrenia in a 12-week open-label extension study. PATIENTS AND METHODS: Patients who completed a 6-week, double-blind, placebo-controlled study were enrolled in a 12-week open-label extension study with flexible dosing of lurasidone at 40 or 80 mg/day. Safety assessments included adverse events, vital signs, laboratory tests, and electrocardiogram (ECG) parameters. Effectiveness measures included the Positive and Negative Syndrome Scale (PANSS) total score, Clinical Global Impression-Severity Scale (CGI-S), Calgary Depression Scale for Schizophrenia (CDSS) and quality of life measure. RESULTS: A total of 289 patients were enrolled in the open-label extension study. Rates of treatment-emergent adverse events (TEAEs) were low; akathisia was the most common TEAE with an incidence of 6.6%. There were 54 patients (18.7%) who discontinued the extension study, with 17 (5.9%) discontinuing due to adverse events. Minimal or no effects of lurasidone on weight, body mass index, metabolic parameters, prolactin, and ECG parameters were evident. There was continued improvement to week 12 in PANSS and CGI-S scores beyond the initial gains made during the prior 6-week double-blind study. Non-responders to lurasidone 40 mg/day in the prior 6-week study showed a mean (standard deviation) improvement from open-label baseline of 10.7 (13.8) points on the PANSS total score after lurasidone dose was increased to a modal dose of 80 mg/day during the extension study. Changes from double-blind baseline in CDSS and quality of life were maintained in the extension study. CONCLUSION: Treatment with lurasidone 40 or 80 mg once daily (flexibly dosed) continued to be well tolerated with patients demonstrating further improvement in symptoms over the course of a 12-week open-label extension study 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".