Risperidone long-acting injection in the treatment of schizophrenia: 24-month results from the electronic Schizophrenia Treatment Adherence Registry in Canada
Bibliographic record
Abstract
Richard Williams,1 Ranjith Chandrasena,2 Linda Beauclair,3 Doanh Luong,4 Annette Lam4 On behalf of the e-STAR study group 1Vancouver Island Health Authority, Victoria, BC, Canada; 2Chatham-Kent Health Alliance, Chatham, ON, Canada; 3Allan Memorial Institute, Montreal, QC, Canada; 4Janssen Inc., Toronto, ON, Canada Objective: To assess outcomes over 24 months in Canadian patients with schizophrenia initiated on risperidone long-acting injection (RLAI) and participating in the electronic Schizophrenia Treatment Adherence Registry (e-STAR). Materials and methods: Patients with schizophrenia or schizoaffective disorder were enrolled from 24 sites after an independent decision to initiate RLAI. Subsequent patient management was based on usual clinical practice at each site and was not protocol-driven. Relevant data were collected retrospectively by chart review for 12 months prior to RLAI and prospectively for 24 months following RLAI initiation. Results: Patients (n=188) had a mean age of 39.2 years, were 66.3% male, and 27.7% were inpatients at baseline. Twenty-four months after initiating therapy (initial dose =28.7 mg), 34.1% (95% confidence interval 27.2%–42.2%) of patients had discontinued RLAI with a mean time to discontinuation of 273.4±196 days. Over the treatment period, there were significant (P<0.001) changes from baseline in Clinical Global Impression-Severity (CGI-S; 3.48 versus [vs] 4.31 at baseline), Global Assessment of Functioning (GAF; 56.1 vs 48.1), and Personal and Social Performance (PSP; 59.1 vs 46.9) scale scores. In addition, after 12 months, there were significant (P<0.001) decreases in the percentage of patients hospitalized (23.9% vs 58.5% pre-RLAI), mean length of stay (11.4 vs 30.4 days), and number of hospitalizations (0.32 vs 0.87) compared to the 12-month pre-RLAI period. Reductions in hospitalization continued into the second 12 months of therapy, when only 9% of patients were hospitalized and mean length of stay was 2.0 days. Conclusion: In a routine clinical practice setting, patients switched to RLAI showed significant improvements in clinical outcomes and in global and social functioning, and hospitalization was significantly reduced. The data confirm that RLAI provides effective long-term management of schizophrenia in Canada. Keywords: schizophrenia, Canada, risperidone long-acting injection, e-STAR
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 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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".