Intermittent chemotherapy in patients with metastatic androgen‐independent prostate cancer
Bibliographic record
Abstract
BACKGROUND: Survival in patients with metastatic, chemotherapy-naive, androgen-independent prostate cancer (AIPC) is improved with 10 to 12 cycles of docetaxel-containing chemotherapy but further management is undefined. In the current study, the authors examined retreatment with the same regimen after a treatment holiday. METHODS: Patients treated with docetaxel at a dose of 36 mg/m(2) plus either high-dose calcitriol (DN-101; 45 mug) or placebo administered weekly for 3 of every 4 weeks could suspend treatment if their serum prostate-specific antigen (PSA) level was reduced >or=50% and reached a level or=50% and was >or=2 ng/mL or when there was other evidence of disease progression. The study was not powered to compare treatment holiday outcomes between the 2 arms. RESULTS: A total of 250 patients were randomized 1:1. Overall, 18% of patients (20% in the high-dose calcitriol group and 16% in the placebo group) entered the intermittent chemotherapy arm. The median duration of the first chemotherapy holiday was 18 weeks (range, 4%70 weeks). On resumption of treatment after the first holiday, 45.5% of evaluable patients responded with a >or=50% reduction in serum PSA from their postholiday baseline, 45.5% met the criteria for stable PSA for at least 12 weeks, and 9.1% of patients developed disease progression. CONCLUSIONS: To the authors' knowledge, the current study is the first report of intermittent chemotherapy in patients with AIPC who were prospectively tested in a large multi-institutional trial. This strategy results in a clinically significant duration of chemotherapy holidays and can be offered to a minority of patients. At the time of retreatment, the majority of patients again respond to treatment or their PSA levels stabilized. Additional studies of intermittent chemotherapy are needed to better characterize the optimal patient population and the optimal approach.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".