Risperidone long-acting injection in Schizophrenia Spectrum Illnesses compared to first generation depot antipsychotics in an outpatient setting in Canada
Bibliographic record
Abstract
BACKGROUND: Depot formulations of antipsychotics provide a potential solution to the poor adherence to oral therapies in schizophrenia. However, there have been few comparative studies on the effectiveness and tolerability of first and second generation depot antipsychotics in a real clinical practice setting. The objectives of the present study were to compare safety and outcomes in patients with schizophrenia initiated on risperidone long-acting injection (RLAI) or first generation antipsychotic injections (FGAI) at a Mental Health Centre in British Columbia. METHODS: Data were collected by retrospective chart review of all active patients starting depot therapy who were ≥ 18 years of age, had received at least 3 injections of depot antipsychotic and had no prior clozapine treatment. Kaplan Meier survival curves were used to estimate probability of treatment discontinuation and hospitalization. RESULTS: A total of 70 RLAI and 102 FGAI patient charts were reviewed. At baseline patients in both groups had similar ages (39.7 and 42.7 years for RLAI and FGAI patients (p = 0.09), respectively) but FGAI patients had a longer time since diagnosis (13.6 vs. 9.85 years (p = 0.003)). Treatment retention at 18 months was 77% for RLAI and 86% for FGAI patients (p = 0.22) and 82% and 88% of patients, respectively (p = 0.28), had not been hospitalized. However, RLAI analyses were compromised by lack of long-term patient data. Concomitant medication utilization was similar in both groups except for anticholinergics which were used less frequently in RLAI patients (5.7% vs. 35.3%, p < 0.001). Adverse event frequency was also similar except for extrapyramidal symptoms (EPS) which were more common in FGAI patients (52.9% vs. 17.0% for RLAI (p < 0.001)). CONCLUSIONS: There was no apparent difference in treatment discontinuation or hospitalization between RLAI and FGAI treated patients, although analysis was compromised by low patient numbers. However, decreased EPS with RLAI may offer a significant clinical benefit to patients with schizophrenia.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".