From trial to practice: The Princess Margaret Hospital (PMH) experience with docetaxel and prednisone for men with metastatic castration resistant prostate cancer (mCRPC).
Bibliographic record
Abstract
125 Background: Docetaxel (75mg/m2every 3 weeks [q3w]) plus prednisone (5mg bid) is standard first-line chemotherapy for men with mCRPC since FDA approval in 2004. It is unclear how results from trials translate to daily practice. Our hypothesis was that patients (pts) treated in trials would have better outcome and less toxicity. Methods: We reviewed all pts with mCRPC treated with docetaxel at PMH until the end of 2011. Primary outcomes were overall survival (OS) and PSA response rate (confirmed decline ≥ 50%). Secondary outcomes were reasons for discontinuation, febrile neutropenia and predictive factors for the primary outcomes. Data were analyzed using the Kaplan-Meier method and Cox regression for OS. Results: 438 men were treated between 2001 and 2011. At start of treatment median age was 71 (range 44 – 90) years, 80 (18%) had visceral metastasis, and the median number of docetaxel cycles was 6 (range 1 – 15). Outcomes are shown in the table. Reasons for treatment discontinuation were progressive disease (38%), completion of treatment (27%), toxicity (22%), death within 30 days of last administration (5%), and other reasons (8%). In multivariate analysis better performance status (p < 0.0001), and more recent treatment (p < 0.0001) were baseline factors associated with longer OS for pts receiving primary treatment with docetaxel q3w. Conclusions: In less selected pts with CRPC treated with docetaxel/prednisone PSA response rates are similar, OS shorter and toxicity more frequent as compared to men treated in the pivotal or in other trials. Supported by a research grant from CIHR. [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 | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".