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Record W2789741405 · doi:10.1111/ppc.12258

The use of brexpiprazole amongst individuals with insufficient outcomes with aripiprazole or bupropion: A case series

2018· article· en· W2789741405 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePerspectives In Psychiatric Care · 2018
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity Health NetworkUniversity of TorontoToronto Western Hospital
Fundersnot available
KeywordsTolerabilityAripiprazoleBupropionMedicineRandomized controlled trialPsychiatryPsychologyInternal medicineAdverse effectSchizophrenia (object-oriented programming)Smoking cessation

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score0.792

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.030
GPT teacher head0.316
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it