Treatment of Hormone-Refractory Prostate Cancer with Docetaxel or Mitoxantrone: Relationships between Prostate-Specific Antigen, Pain, and Quality of Life Response and Survival in the TAX-327 Study
Bibliographic record
Abstract
PURPOSE: The TAX-327 study randomized 1,006 men with metastatic hormone-refractory prostate cancer to receive 3-weekly docetaxel, weekly docetaxel, or mitoxantrone, each with prednisone. EXPERIMENTAL DESIGN: We used the TAX-327 database to address (a) the relationship between quality of life (QoL) and pain; (b) whether minimally symptomatic patients benefit from treatment or have treatment-related decline in QoL; (c) the relationships between prostate-specific antigen (PSA) response, pain response, and QoL response; (d) the times at which these responses are first observed; and (e) whether PSA, pain, and/or QoL response predict for overall survival. RESULTS: At baseline, 374 of 815 men assessed for QoL had major pain; of these, 92% had substantial impairment of QoL compared with 75% without major pain (P < 0.001). Men with minimal symptoms had prolonged survival (median, 25.6 months) compared with symptomatic patients (median, 17.1 months; P = 0.009); they were more likely to have initial deterioration of QoL if treated with weekly docetaxel. PSA response and pain response, but not QoL response, were independently associated with survival in landmark analysis. Median times to PSA and pain response were 44 and 27 days, respectively; some men had initial increase in serum PSA before subsequent decline. CONCLUSIONS: Symptoms other than pain contribute to impaired QoL in men with hormone-refractory prostate cancer. Those with minimal symptoms have prolonged survival. Both pain and PSA response are associated with survival but are not adequate to use as surrogate end points in phase 3 studies. Early increases in serum PSA (up to 12 weeks) should be ignored when determining response or progression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".