Effects of brexpiprazole on patient life engagement in schizophrenia: <i>post hoc</i> analysis of Positive and Negative Syndrome Scale data
Bibliographic record
Abstract
Objective Patients with schizophrenia value improved life engagement, a term that describes positive health aspects across emotional, physical, social, and cognitive domains. This post hoc analysis of clinical trial data aimed to investigate the effect of brexpiprazole on patient life engagement in schizophrenia over the short and long term.Methods Data were pooled from three 6-week, randomized, double-blind, placebo-controlled clinical trials (ClinicalTrials.gov identifiers: NCT01396421, NCT01393613, NCT01810380; N = 1385) and two 52-week, open-label extension studies (NCT01397786, NCT01810783; N = 408) of brexpiprazole in adults with schizophrenia. Patient life engagement was measured using a subset of 14 Positive and Negative Syndrome Scale items (score range: 14 [best] to 98 [worst]) that has previously demonstrated content validity. Mean score changes and response rates (based on minimal clinically important difference estimates of ≥5 and ≥10 points) were calculated.Results Greater improvement in patient life engagement from baseline to Week 6 was observed for brexpiprazole 2–4 mg/day (least squares mean [standard error] change: −8.3 [0.3]; n = 868) versus placebo (−5.7 [0.4]; n = 517), with a least squares mean difference of −2.58 (95% confidence interval: −3.57 to −1.58; p < 0.001; Cohen’s d effect size: 0.28). These improvements were maintained over 58 weeks on brexpiprazole 1–4 mg/day (n = 399). At Week 6, response rates among patients treated with brexpiprazole versus placebo were 71.6% versus 58.0% (≥5-point improvement; p < 0.001) and 43.5% versus 32.8% (≥10-point improvement; p < 0.001). At Week 58 (n = 179), response rates among patients treated with brexpiprazole were 90.5% (≥5-point improvement) and 78.2% (≥10-point improvement).Conclusion Beyond its efficacy on psychotic symptoms, brexpiprazole has the potential to improve patient life engagement – an important patient-centered outcome in 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 | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.007 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".