Initial report of RTOG 9601, a phase III trial in prostate cancer: Effect of anti-androgen therapy (AAT) with bicalutamide during and after radiation therapy (RT) on freedom from progression and incidence of metastatic disease in patients following radical prostatectomy (RP) with pT2-3,N0 disease and elevated PSA levels.
Bibliographic record
Abstract
1 Background: To test if long term AAT when combined with RT in these patients (pts) with prostate cancer (PC) will improve cancer control outcomes as well as overall survival (OS). Methods: Post-RP pts with pT3,N0 or with pT2,N0 (and positive margins) who have an elevated PSA were entered on a phase III, double-blinded, placebo-controlled trial of RT alone (64.8 Gy in 1.8 Gy fractions) vs RT + AAT (24 months of bicalutamide, 150mg daily) during and after RT. The primary end point is OS. Results: From 3/98 to 3/03, 771 eligible pts (median age 65) were randomized to RT + AAT (387) or RT alone (383). Pretreatment characteristics were balanced. 672 (87%) had a PSA nadir after RP of < 0.5 ng/mL. 655 (85%) had an entry PSA value of <1.6, 115 (15%) had an entry PSA of 1.6-3.9. Median follow-up was 7.1 years. Actuarial OS at 7 years was 91% for RT + AAT and 86% for RT alone. Too few primary end-point events have occurred to allow a statistical comparison between groups. Freedom from PSA progression (FFP) at 7 years was 57% for RT + AAT and 40% for RT alone (P < 0.0001); for 226 pts with GS < 7 were 63% and 50% (P<0.02), for 411 GS 7 these were 55% and 39% (P<0.0006), and for 134 GS 8-10 were 56% and 26% (P < 0.0008). The 7-yr cumulative incidence of metastatic PC was less in the RT and AAT arm, 7% vs 13% in the RT arm (p<0.041). Late grade 3-4 toxicities were similar in both arms. By category the combined grade 3-4 toxicities for RT + AAT and RT alone were: bladder 6% vs 5% bowel 2% vs 1%, cardiac 3% vs 2%. Gynecomastia (mostly grades 1-2) differed significantly, 89% vs15%. In the RT + AAT arm grade 3 was the highest liver toxicity, which occurred in 3 pts. Conclusions: The addition of 24 months of bicalutamide 150 mg daily during and after RT significantly improved FFP and reduced the incidence of metastatic PC without adding significantly to RT toxicity. The significance of benefit in OS, as well analysis of risk-stratified subsets, wait longer follow-up. No significant financial relationships to disclose.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".