Clozapine Prescribing in a Canadian Outpatient Population
Bibliographic record
Abstract
OBJECTIVE: Description of demographics of an outpatient population of clozapine users. METHODS: Retrospective chart review study of an urban population diagnosed with schizophrenia. Assessment of therapeutic histories in relation to clinical practice guidelines. RESULTS: Seventy-seven of the 467 patients were on clozapine therapy. Average patients' age was 39.4 ± 11.8 years) and 68% were males. The majority of patients (68%) had tried 3 or more antipsychotics before switching to clozapine, 21% had tried two and 11% had tried one. Median length of therapy prior to clozapine initiation was 8.9 years in males and 7.7 years in females. CONCLUSION: Until 2010, the use of clozapine was often delayed and more than 2 antipsychotic medications were tried for relatively long periods of time before patients were switched to this effective agent.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".