Earlier Use of Long-Acting Injectable Paliperidone Palmitate Versus Oral Antipsychotics in Patients With Schizophrenia
Bibliographic record
Abstract
criteria) and varying duration of illness (0-3 years and > 3 years). Patient-level data from the PRIDE, PROSIPAL, and DREaM studies were included in a post hoc analysis. Efficacy and safety outcomes, including relapse assessments, Personal and Social Performance scale scores, Medication Satisfaction Questionnaire total scores, and treatment-emergent adverse events (TEAEs), were measured systematically. Treatment failure (TF) included relapses due to psychiatric hospitalizations, arrest or incarceration, suicidal or homicidal ideation or behavior, discontinuation due to inadequate efficacy and/or safety or tolerability, treatment supplementation due to inadequate efficacy, and significant worsening of symptoms. Fewer TFs were observed with PP versus OAP in both the 0-3 years group (17.7% and 25.3%, respectively) and the > 3 years group (32.3% and 42.4%, respectively). Time to first TF was significantly longer with PP versus OAP treatment in both duration of illness groups. TEAE rates were similar between the PP and OAP groups, with no new safety signals identified. This post hoc analysis suggests that PP provides significant benefit in reducing TF or relapse compared with OAPs regardless of duration of illness and highlights the potential benefit of implementing PP earlier in the course of schizophrenia. ClinicalTrials.gov identifiers NCT01157351 (PRIDE), NCT01081769 (PROSIPAL), and NCT02431702 (DREaM).
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".