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Record W2129180931 · doi:10.1176/appi.ps.51.2.250

Effect of Clozapine on Polypharmacy

2000· article· en· W2129180931 on OpenAlexaff
Siow‐Ann Chong, Gary Remington, Kalyna Z. Bezchlibnyk-Butler

Bibliographic record

VenuePsychiatric Services · 2000
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsSchizophrenia Society of Ontario
Fundersnot available
KeywordsClozapinePolypharmacyCarbamazepineSchizophrenia (object-oriented programming)AnticholinergicMedicinePsychiatryAnticholinergic agentsPharmacologyEpilepsy

Abstract

fetched live from OpenAlex

Prescribing patterns for a group of outpatients with schizophrenia were surveyed for changes after the initiation of clozapine. Data were drawn from computerized pharmacy records, direct case record reviews, and interviews with the attending psychiatrists. The number of patients with two or more psychotropic drugs decreased by 31 percent after the initiation of clozapine, and a trend toward the use of clozapine without additional neuroleptics was detected. Decreases occurred in the use of anticholinergic agents, carbamazepine, and benzodiazepines, but selective serotonin reuptake inhibitors and sodium valproate were more likely to be prescribed concomitantly with clozapine.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.007
GPT teacher head0.319
Teacher spread0.312 · 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 teacher head, not a consensus.

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

Citations26
Published2000
Admission routes1
Has abstractyes

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