Effects of Brexpiprazole on Functioning in Patients With Schizophrenia
Bibliographic record
Abstract
Objective: To evaluate the short-and long-term effects of brexpiprazole on patient functioning in schizophrenia.Methods: Data were included from three 6-week, randomized, double-blind, placebo-controlled studies (hospitalized patients); a 52-week, randomized, doubleblind, placebo-controlled maintenance treatment study (terminated early by the study sponsor based on the positive result of an interim analysis); and two 52week, open-label extension studies-all in patients with schizophrenia (DSM-IV-TR criteria) and conducted from July 2011-February 2016.Patients allocated to oral brexpiprazole received 2-4 mg/d (short-term studies) or 1-4 mg/d (long-term studies).Functioning was measured using the Personal and Social Performance (PSP) and Global Assessment of Functioning (GAF) scales, with response defined as a PSP/GAF increase of ≥ 10 points and remission as PSP score ≥ 71 or GAF score ≥ 61.Results: Patients receiving brexpiprazole (n = 831) showed greater improvement than those receiving placebo (n = 490) from baseline to week 6 in PSP score (least squares mean difference, 3.20; 95% confidence interval, 1.82-4.58;P < .0001;Cohen d = 0.31) and in all 4 PSP domains.At week 52 of the maintenance study (which had a low completion rate primarily due to the early termination), GAF functional remission was achieved by 65.3% (62/95) of stabilized patients randomized to brexpiprazole and 47.1% (48/102) of stabilized patients randomized to placebo, with a number needed to treat of 6 (95% confidence interval, 4-22; P = .0076).At week 52 of the open-label studies (n = 177), PSP functional response and remission were achieved by 84.2% and 41.8% of patients receiving brexpiprazole, respectively. Conclusions:Although limited by the lack of an active comparator, analyses of this large dataset demonstrate that brexpiprazole treatment is associated with clinically relevant improvement in functioning among patients with schizophrenia, in the short term and long term.Trial Registration: Data used in this post hoc analysis were from studies with ClinicalTrials.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".