Assessment of Real-World Central Nervous System Events in Patients with Advanced Prostate Cancer Using Abiraterone Acetate, Bicalutamide, Enzalutamide, or Chemotherapy.
Bibliographic record
Abstract
BACKGROUND: Central nervous system (CNS) events are frequently reported among patients with advanced prostate cancer as a consequence of the treatments used in this patient population. OBJECTIVE: To assess the incidence of CNS events in patients with advanced prostate cancer who initiated treatment with abiraterone acetate, bicalutamide, enzalutamide, or chemotherapy. METHODS: The Truven Health MarketScan Research databases were used to retrospectively identify patients with prostate cancer who initiated treatment with abiraterone acetate, enzalutamide, bicalutamide, or chemotherapy after September 1, 2012 (ie, the index date). The chemotherapy agents included cabazitaxel, docetaxel, mitoxantrone hydrochloride, and estramustine, and were used as monotherapy or as combination therapy. Patients were followed until December 31, 2014, the end of exposure to treatment, or until loss to follow-up. Kaplan-Meier rates and adjusted Cox proportional hazard models were used to compare the incidence of CNS events between the abiraterone acetate cohort and the other cohorts. A sensitivity analysis of patients with a diagnosis of metastasis was also conducted. RESULTS: = .0456) versus chemotherapy. The sensitivity analysis yielded similar results. CONCLUSION: The results of this large observational study suggest that among patients with metastatic prostate cancer, treatment with abiraterone acetate is associated with a significantly lower likelihood of having a CNS event compared with treatment with enzalutamide or chemotherapy, but not with bicalutamide, even when controlling for metastatic disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".