Comparison of active surveillance with other treatment options for low-risk prostate cancer.
Bibliographic record
Abstract
178 Background: To evaluate outcomes and treatment history of low risk (LR) prostate cancer patients(pts) diagnosed between 2006-2008 in a single academic institute. Methods: Treatment and toxicity details were retrieved through retrospective chart review,apart from surgery where toxicity data was not available in detail.Biochemical RFS following primary and salvage treatments and CSS were computed.Pts who underwent salvage treatment for local failure and subsequently remained under biochemical control were censored as disease free for the salvage bRFS. Results: 594 pts were eligible for this study. Treatment options were active surveillance (AS=178 pts), low dose rate brachytherapy (LDR=192 pts, I-125 implant), stereotactic ablative body radiotherapy (SABR =84 pts; 35Gy in 5 weekly fractions), external beam radiation (EBRT=81 pts; 76Gy ) and radical prostatectomy (RP=59 pts). Median follow was > 70 months in all cohorts. 17.9% on AS protocol underwent active treatment. Biochemical failures were detected in 9 (5%), 10 (5.2%), 3 (3.5%), 6 (7.4%) and 9 (15.3%) pts respectively. Out of these, 4 pts in AS cohort, 2 in SABR group, and 7 in RP underwent local/salvage treatment. The 7-year bRFS was 94.4%, 93.6%, 95.8%, 90.1% and 89.5% for primary treatment and 95.7%, 93.6%, 98.7%, 90.1% and 98.3% following salvage treatment. 1 pt in AS, 2 in LDR, 1 pt in SABR and EBRT group developed metastatic disease. The 6 year CSS was 100% in all groups apart from LDR (99.4%) and EBRT (98.8%). Significant dysuria (20.8%) and hematochezia (7.4%) were noticed in EBRT cohort (Table). One grade 4 toxicity was noted in LDR, SABR and EBRT pts. Conclusions: AS has CSS comparable to other treatment options in LR prostate cancer setting with minimal toxicity. In the primary setting all treatment modalities apart from RP and EBRT have 7-year bRFS >93%. Differences in bRFS following salvage treatment might be due to pt and treatment selection. [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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".