Trends in the use of novel hormonal agents at the end of life in metastatic castration-resistant prostate cancer.
Bibliographic record
Abstract
40 Background: The approval of novel hormonal agents (NHAs), abiraterone and enzalutamide, have increased the therapeutic arsenal available in metastatic castration-resistant prostate cancer (mCRPC). However, the use of chemotherapy and other antineoplastics at the end of life has been suggested as an indicator of poor quality of care. In this study, we report the use of NHAs at the end of life in men with mCRPC in the province of Quebec, Canada. Methods: Using Quebec public healthcare administrative databases, we identified patients with prostate cancer who used an NHA (abiraterone or enzalutamide) after androgen deprivation therapy and who died between 2012 and 2016. The primary outcome was the use of an NHA in the 30 days before death. Use of an NHA in the 60 and 90 days before dying, and initiation (first prescription) of an NHA in the 30 days before death were evaluated as secondary outcomes. Multivariable analysis of the primary outcome was performed with logistic regression with results reported as odds ratios (OR) with 95% confidence intervals (95%CI). Results: The cohort consists of 1316 patients who used an NHA over the course of their disease and died at a median age of 78 years old, with 292 (22.2%), 464 (35.3%), and 575 (43.7%) having used an NHA in the 30, 60 and 90 days of life, respectively. Use of NHA 30 days before dying decreased over the study period, from 44.8% in 2012 to 17.0% in 2016 (Cochran-Armitage test p-value < 0.001). On multivariable analyses, later years of death remained associated with lower odds of NHA use 30 days before death (OR 0.74, 95%CI 0.66 to 0.81, p < 0.001). Fifty-eight (4.4%) patients initiated a NHA 30 days before dying. Conclusions: Rates of NHA use 30 days before dying were high initially but decreased over the study period. Further assessment of NHA use at the end of life is warranted to examine if the trend will be maintained given the recent approval of additional oral NHAs for prostate cancer.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".