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Record W4408250368 · doi:10.1016/j.scog.2025.100355

Effect of cariprazine on attention and quality of life in patients with predominant negative symptoms of schizophrenia: A post-hoc analysis

2025· article· en· W4408250368 on OpenAlexafffund
Oloruntoba Oluboka, Andrea Bardell, Howard C. Margolese, Philip G. Tibbo, Lisa Buchy, C. Di Cresce, Jun Yu, Roger S. McIntyre

Bibliographic record

VenueSchizophrenia Research Cognition · 2025
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsABB (Canada)University of TorontoDalhousie UniversityUniversity of CalgaryMcGill UniversityOttawa HospitalUniversity of British Columbia
FundersAbbVie CanadaForest LaboratoriesGedeon Richter
KeywordsPost-hoc analysisPsychologySchizophrenia (object-oriented programming)Post hocNegative symptomQuality of life (healthcare)Clinical psychologyCognitive psychologyPsychotherapistPsychiatryStatisticsPsychosisMedicineInternal medicineMathematics

Abstract

fetched live from OpenAlex

Cariprazine, a potent dopamine D 3 -preferring D 3 /D 2 receptor partial agonist, has demonstrated benefits on negative symptoms among patients with schizophrenia. Secondary endpoint and post-hoc analyses have also suggested a benefit of cariprazine on quality of life (QoL) and attention. Data for this post-hoc analysis were pooled from two 6-week, placebo-controlled phase 3 trials evaluating cariprazine among patients with acute exacerbations of schizophrenia. One study included an aripiprazole active-control arm for assay sensitivity. Two populations were analyzed: pooled intention-to-treat (ITT) population ( N = 1043), and the pooled subgroup with predominant negative symptoms (PNS, n = 215), as defined by the Positive and Negative Syndrome Scale (PANSS) subscale and item cut-off criteria at baseline. Analyses of interest were: Schizophrenia Quality of Life Scale Revision 4 (SQLS-R4) total score; Cognitive Drug Research (CDR) power of attention (PoA), and continuity of attention (CoA). Among study completers, cariprazine and aripiprazole were associated with significant SQLS-R4 improvements in the ITT and PNS populations. Differences in CDR-PoA scores were significant for cariprazine vs. placebo in the ITT and PNS populations, but not for aripiprazole in the ITT or PNS analyses. Differences in CDR-CoA scores were significant for cariprazine vs. placebo in the ITT and PNS analyses; and was significant for aripiprazole vs. placebo in the PNS analysis, but not in the ITT analysis. This post-hoc analysis suggests that cariprazine may be associated with beneficial effects on measures of attention and QoL among patients with schizophrenia, and these effects could be more pronounced among individuals with PNS. • Cariprazine has previously demonstrated benefits on negative symptoms of schizophrenia. • This post-hoc analysis included a subgroup of people with schizophrenia with predominant negative symptoms (PNS). • Analysis showed that cariprazine may be associated with benefit on measures of attention and quality of life. • Cariprazine's beneficial effects may be more pronounced among individuals with PNS.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0080.015
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.017
GPT teacher head0.342
Teacher spread0.325 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2025
Admission routes2
Has abstractyes

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