Long-term safety and efficacy analysis of abiraterone acetate (AA) plus prednisone (P) in metastatic castration-resistant prostate cancer (mCRPC) without prior chemotherapy (COU-AA-302).
Bibliographic record
Abstract
5009 Background: AA, a CYP17 inhibitor, prolongs the lives of men with progressive pre- or post-chemotherapy treated mCRPC with a favorable safety profile (Rathkopf et al. ASCO-GU 2013. Abstr 5). This post hoc analysis examines the safety and tolerability of long-term treatment (≥ 24 mos) in study COU-AA-302. Methods: 1,088 pts were randomized 1:1 to AA 1000 mg + P 5 mg po BID vs placebo + P. Co-primary endpoints were radiographic progression-free survival (rPFS) and OS. Median times with 95% CI of the end points were estimated using the Kaplan-Meier (KM) method. Post hoc analysis of adverse events (AEs) was performed at pre-specified interim analysis (IA3) (55% OS events). Results: At a median follow-up = 27.1 mos (IA3): rPFS HR (95% CI) = 0.53 (0.45, 0.62), p < 0.0001 and OS was improved over P [0.79 (0.66, 0.96), p = 0.0151]; the latter did not reach the pre-specified efficacy boundary (p = 0.0035). All secondary endpoints favored the AA arm (Rathkopf et al. ASCO-GU 2013. Abstr 5). The incidence rate of selected AEs by duration of exposure is shown below (Table). There was no clinically relevant increase in the incidence rate of AEs with longer exposure using AA + P versus P alone; although pts on treatment for ≥ 24 mos may have had greater tolerability. The percentage of patients who came off study due to an AE was 8% (AA) versus 6% (P). Conclusions: The updated IA3 of COU-AA-302 in pts without prior chemotherapy confirms the delay in progression and prolongation of life with a favorable safety profile including pts treated for ≥ 24 mos with AA + P or P. Clinical trial information: NCT00887198. [Table: see text]
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".