Abiraterone Acetate in Patients with Advanced Castrate Resistant Prostate Cancer: Initial Real Life Experience in 2 Cancer Units
Bibliographic record
Abstract
Introduction: Abiraterone Acetate (AA) improves outcome of patients with castrate resistant prostate cancer (CRPC) and is currently recommended for chemo-naïve patients and after progression on chemotherapy. We reviewed our initial experience with the use of AA in these patients. Patients and Methods: Forty six consecutive CRPC patients were treated with AA 1000 mg/day and prednisolone 5 mg twice daily in 2 cancer centres in England and Saudi Arabia. Treatment was continued until disease progression or unacceptable toxicity. Patients achieving prostate specific antigen decline (PSA) 50% were considered as marker responders. Results: Median age was 76 (52-91) years. 28 and 18 patients received AA in pre-chemotherapy and post-chemotherapy setting respectively. PSA marker response was achieved in 56.1% (23/41) assessable patients. Objective radiological response rate was seen in 31.6% (6/19) and stable disease in 15.8% (3/19) assessable patients. After a median follow up of 20 months, median time to PSA progression was 12 months (95% CI: 9.5-14.5) and median overall survival was not reached (mean = 21 months, 95% CI: 18-24.5). Toxicity was assessed in 18 patients. All grades adverse events of special interest were hypokalaemia (22%) and hypertension (11%). Conclusion: In daily clinical practice, AA is an effective treatment for patients with CRPC. It produces meaningful marker and objective responses, marker progression free survival and OS that are comparable to those reported in clinical trials. Monitoring of blood pressure and serum potassium is recommended.
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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 | 0.001 |
| 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".