Efficacy of adjunctive brexpiprazole on symptom clusters of major depressive disorder: A post hoc analysis of four clinical studies
Bibliographic record
Abstract
BACKGROUND: Major depressive disorder (MDD) is a clinically heterogenous condition and its treatment should be individualized according to the presence of particular symptom clusters. The aim of this pooled analysis was to investigate the effects of adjunctive brexpiprazole on different symptom clusters in MDD. METHODS: Data were included from four similarly designed, short-term, randomized, double-blind, placebo-controlled studies of adjunctive brexpiprazole in adults with MDD and inadequate response to 2-4 antidepressant treatments (ADTs), including 1 administered by investigators. Mean changes from baseline and Cohen's d effect sizes (ES) versus placebo were determined for the following Montgomery-Åsberg Depression Rating Scale symptom clusters: core, anhedonia, dysphoria, retardation, vegetative, loss of interest, and lassitude. RESULTS: Over 6 weeks, ADT + brexpiprazole 2 mg (n = 486) showed greater improvement than ADT + placebo (n = 585) for all symptom clusters: core (ES = 0.36; p < 0.0001), anhedonia (ES = 0.43; p < 0.0001), dysphoria (ES = 0.27; p < 0.0001), retardation (ES = 0.32; p < 0.0001), vegetative (ES = 0.29; p < 0.0001), loss of interest (ES = 0.30; p < 0.0001), and lassitude (ES = 0.33; p < 0.0001). Improvements of similar magnitude were observed for ADT + brexpiprazole 2-3 mg (n = 770) versus ADT + placebo (n = 788) (ES = 0.24-0.38; all clusters p < 0.0001). In most cases, improvement over ADT + placebo was observed from Week 1 onwards. LIMITATIONS: Post hoc analysis with no adjunctive active comparator. CONCLUSIONS: Patients receiving adjunctive brexpiprazole versus adjunctive placebo showed improvements across a range of MDD symptom clusters. Improvements appeared early (generally from Week 1) and were maintained over 6 weeks. These data indicate that adjunctive brexpiprazole may benefit multiple subtypes of patient with MDD and inadequate response to ADTs.
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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 | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.015 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 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".