Neoadjuvant hormone therapy and external beam radiation for localized prostate cancer: Vancouver Island Cancer Centre experience.
Bibliographic record
Abstract
OBJECTIVES: To evaluate the effects of neo-adjuvant hormone therapy (NAHT) given prior to radiation in patients with clinically localized adenocarcinoma of the prostate. METHODS: Six hundred nine patients were treated between 1992 and 1997 with NAHT prior to radiation therapy. Clinical stage, presenting PSA and Gleason score were examined for influence on outcome. Time to post radiotherapy failure was defined from the first assessed PSA value over 4 microg/L at follow-up. Radiation therapy was confined to the prostate and seminal vesicles. Median follow-up was 2.6 years. RESULTS: PSA disease free survival (PDFS) decreased with increasing cancer risk factors (p <.0.0001). The overall duration of NAHT was significant with patients receiving >8 months having a lower failure rate than those on therapy for <3 months (p <0.0001). The PSA prior to starting radiation correlated with outcome, a PSA <=0.1 microg\L having a better PDFS than those with a PSA >=4 microg\L (P <0.0001). NAHT for >8 months gave improved PDFS in intermediate grade Gleason score 5-7, (n = 256, p <0.0001), high grade Gleason score 8-10 (n = 80, p =0.005), but not in low grade, Gleason score <=4. CONCLUSION: Neo-adjuvant hormone therapy for >8 months offers prolonged PSA disease free survival in patients with less well differentiated tumors, Gleason score >4. Clinical trials are required to confirm this.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".