Aripiprazole versus Brexpiprazole for People with Schizophrenia: A Systematic Review
Bibliographic record
Abstract
Introduction: Schizophrenia is a chronic, complex, and multifactorial psychiatric disorder characterized by various clinical manifestations. The first line of treatment for this condition is antipsychotics. Second-generation antipsychotics use partial agonist mechanisms of D2 receptors that regulate dopaminergic tone, presumably reducing the incidence of extrapyramidal symptoms. Two second-generation molecules that have shown adequate efficacy for the treatment of positive symptoms in schizophrenia are aripiprazole and brexpiprazole and there are reviews comparing their effectiveness and safety in treatments of up to four weeks. Objective: To evaluate the efficacy and tolerability of aripiprazole compared with brexpiprazole in people diagnosed with schizophrenia or schizophrenia-like psychosis in medium- and long-term treatments. Method: The search was conducted by a specialist from the Cochrane schizophrenia group on March 9, 2023, in the MEERKAT registry, for (*Aripiprazole* and *Brexpiprazole*). Results: A total of 166 registers were identified from the electronic searches. Fifteen were eliminated due to duplication. The titles and abstracts of 151 records were examined, and four full texts were retrieved and assessed for eligibility according to inclusion and exclusion criteria. During this process, three studies were excluded, and finally only one study met the criteria for inclusion in this review. Discussion and conclusion: A single study was found to show data on efficacy, safety, and tolerability in patients with medium-term treatments. Since the evidence identified contains significant biases, it is not possible to establish a recommendation favoring the prescription of one of the antipsychotics in the study over the other.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".