The ELDORADO study: A phase II randomised study of concurrent weekly docetaxel, IMRT, and ltadt in patients with high-risk prostate cancer.
Bibliographic record
Abstract
5048 Background: Treatment intensification is warranted for ‘high risk’ prostate cancer. Docetaxel (DO) and radiotherapy (IMRT) may cause dose-limiting GI or GU toxicity. Treating the whole pelvis last (WP-L) versus the whole pelvic lymphatics first (WP-F) could reduce the number of dose delays or omissions of DO. Methods: We performed a double-blind, randomized trial, in patients with ‘high risk’ non-metastatic prostate cancer who had any one of the following: 1) ≥ T2c TNM category, 2) Gleason score ≥ 8, or PSA > 20 and < 50 µg/L, OR have a greater than 50% risk of recurrence after radical prostatectomy (RP), as predicted by the Kattan nomogram, with no evidence of metastatic disease. Patients receive long-term androgen deprivation therapy (LTADT), and after 4 months of neoadjuvant ADT, receive IMRT and concurrent DO 20 mg/m2 x 8 weekly infusions. Patients were randomized to receive WP-F followed by a boost to the prostate/prostate bed, or to have WP-L. The primary outcome was to compare the number of DO dose reductions, delays or omissions due to GI or GU toxicity, between arms. Target sample size was 86 patients (pts). Results: 98 pts were registered, 88 were randomized, 2 withdrew consent, leaving 42 pts randomized to WP-F, and 44 pts to WP-L. The trial was closed to accrual Feb 2, 2012. Twenty-five pts had previous RP (29%). Seven pts (16.6%) allocated to WP-F had chemotherapy dose reductions/delays versus 3 pts (6.8%) allocated to WP-L , which was not statistically significant (p=0.19). Overall 80.2% of pts received all 8 weekly doses of DO and IMRT (WP-F vs. WP-L: 78.6% vs.81.8%, p=0.9). Actuarial overall survival at 4 years is 96 % (WP-F vs. WP-L: 94% vs.97%, p=0.6). Biochemical relapse-free survival at 4 years is 96.7% (WP-F vs. WP-L: 98% vs.97%, p=0.92). Two patients have needed surgical intervention for Grade > 3 GU toxicity. Cumulative treatment-related grade 3 or 4 GI or GU toxicity was 36%. When patients were last seen, only 2/84 (2.3%) patients had ongoing grade 3 GI or GU toxicity at a median follow up of 2.7 years Conclusions: Concurrent use of DO and IMRT is feasible with reasonable toxicity. Sequence inversion does not enhance chemotherapy delivery. Clinical trial information: NCT00452556.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".