<p>Population-Based Analysis Of The Use Of Radium-223 For Bone-Metastatic Castration-Resistant Prostate Cancer In Ontario, And Of Factors Associated With Treatment Completion And Outcome</p>
Bibliographic record
Abstract
INTRODUCTION: Radium-223 (Ra223) prolongs the survival and improves the quality of life of men with metastatic, castration-resistant prostate cancer (mCRPC) to bones. However, compared to other mCRPC therapies, using Ra223 comes with its unique challenges. Hence, we aimed to identify Ra223 utilization patterns under real-world conditions, as well as factors predicting treatment completion and outcome. METHODS: In this retrospective chart analysis, 198 mCRPC patients were identified that had received Ra223 outside of clinical trials or access programs from January 2015 to October 2016 at four cancer centres in Ontario. The main outcomes studied were Ra223 completion rate, reasons for early treatment discontinuation, overall survival, and survival differences in patients completing Ra223 therapy versus patients receiving <6 cycles of Ra223. In addition, patient and disease characteristics were analysed to identify predictors of treatment completion and survival. RESULTS: In this cohort of patients mostly pretreated with abiraterone and/or enzalutamide (92.4%), almost half of which had also received docetaxel (48.5%), the Ra223 completion rate was 46.5%, and the actuarial median survival was 13.3 months. The main reason for early Ra223 discontinuation was disease progression, and Ra223 non-completion was associated with poorer outcome (median survival 8.1 months [6.0-12.2] versus 18.7 months [15.3-22.3] in men completing Ra223, p<0.0001). Lymph node metastases and a high baseline prostate-specific antigen (PSA) were independent predictors of early treatment discontinuation. Multivariable Cox proportional hazards models revealed early Ra223 discontinuation, baseline anemia, high PSA, prior skeletal-related events, visceral metastases, and being referred to another centre for Ra223 therapy as predictors of worse outcome. CONCLUSION: Despite a lower completion rate than observed under clinical trial conditions, the real-world results achieved with Ra223 are encouraging. If prospectively validated, predictive patient and disease characteristics identified in our cohort might become instrumental to identify mCRPC patients likely to complete and to most benefit from Ra223 therapy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".