Real-world experience with docetaxel for castration-sensitive prostate cancer from a population-based analysis.
Bibliographic record
Abstract
297 Background: Phase III clinical trials have demonstrated efficacy with an overall survival (OS) benefit for the addition of docetaxel (DOC) to androgen deprivation therapy (ADT) for the treatment of metastatic castration-sensitive prostate cancer (mCSPC). The clinical effectiveness of DOC with ADT in the general patient population remains undefined. Methods: A population-based retrospective review was conducted of patients (pts) with mCSPC who received DOC at the BC Cancer Agency from 04/2015 to 02/2017. Patient and disease characteristics were extracted. Safety and clinical-effectiveness were evaluated. Results: 183 records were identified; 156 pts received DOC in the mCSPC setting. Baseline characteristics included a median age of 67 years (range 44-86) and visceral metastases (mets) present in 18%; 80% had high volume disease with 74% having > 3, and 54% > 10 bone mets; 76% had de-novo metastatic disease. All 6 planned DOC cycles were delivered in 126 cases (81%); it was stopped early for: toxicity in 15 (10%), unrelated death in 1 (0.6%), pt preference in 5 (3%) or disease progression in 9 (6%) cases. Dose reductions and delays were required in 61 (39%) and 25 (16%) cases, respectively. Grade 3-5 adverse events were noted in 62 (40%) cases, with 28 (18%) cases of febrile neutropenia (FN); there were no treatment-related deaths. Pts with FN had more bone mets (p = 0.046), but there was no difference in time from start of ADT to initiation of docetaxel, age, baseline performance status, PSA, or visceral involvement. PSA ≤ 0.2 ng/L was achieved in 41 (28%) cases after 6 months of ADT and maintained in 13 (8%) cases after 12 months. 41% of pts had developed CRPC within 1-yr, with a median time to CRPC of 14.3 months. Treatment for CRPC was given in 54 cases, with most pts receiving either abiraterone or enzalutamide (87%) with a PSA decline ≥50% occurring in 47%. Conclusions: Effectiveness of DOC with ADT in a general population of pts with mCSPC was associated with poorer outcomes and high rates of toxicity compared to the phase III studies. Response rates to first-line treatment for mCRPC with abiraterone or enzalutamide appear similar to those previously reported.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".