The use of brexpiprazole amongst individuals with insufficient outcomes with aripiprazole or bupropion: A case series
Bibliographic record
Abstract
PURPOSE: We sought to characterize the clinical experience of outpatients treated with brexpiprazole after achieving suboptimal outcomes with aripiprazole or bupropion as determined by the treating psychiatric provider. DESIGN AND METHODS: Case series; inefficacy, intolerability, or other unsatisfactory outcome to previous trial with aripiprazole or bupropion. FINDINGS: The majority of individuals in our sample exhibited tolerability of brexpiprazole. In addition, reduction in mean PHQ-9 scores was observed with brexpiprazole treatment. IMPLICATIONS: The results of our preliminary analysis suggest that a subpopulation of adults who have insufficient outcomes on aripiprazole or bupropion due to intolerability, inefficacy or other unsatisfactory outcome may benefit by switching to brexpiprazole treatment. Larger randomized controlled trials are needed, as well as sophisticated network analysis to further understand efficacy and tolerability differences between atypical antipsychotics.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".