The clinical utility of lurasidone in schizophrenia: patient considerations
Bibliographic record
Abstract
Philip D Harvey1Department of Psychiatry and Behavioral Sciences, University of Miami, Miller School of Medicine, Miami, FL, USA; 2Bruce W Carter VA Medical Center, Miami, FL, USAAbstract: Lurasidone is a novel antipsychotic agent approved for the treatment of schizophrenia in a number of countries including the United Kingdom, other European countries, the United States, and Canada. In addition to full antagonist activity at the dopamine D2 (Ki, 1 nM) and serotonin 5-HT2A (Ki, 0.5 nM) receptors, the pharmacodynamic profile of lurasidone is notable for its high affinity for serotonin 5-HT7 receptors (0.5 nM) and its partial agonist activity at 5-HT1A receptors (Ki, 6.4 nM). Long-term treatment of schizophrenia with lurasidone has been shown to reduce the risk of relapse in patients with schizophrenia. Lurasidone appears to be associated with minimal effects on body weight, and low risk for clinically meaningful alterations in glucose, lipids, or electrocardiography parameters. Evidence from two randomized trials also suggests improvement in functional capacity and cognitive functioning in people with schizophrenia. A significant evidence base supports the use of lurasidone as a promising agent for the treatment of schizophrenia. Keywords: long-term treatment, antagonist, pharmacodynamic profile
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".