Deferred permanent prostate seed brachytherapy does not affect PSA outcome: results from a large retrospective cohort.
Bibliographic record
Abstract
INTRODUCTION: To examine the outcome of deferred permanent seed brachytherapy (BT) for localized low or intermediate risk prostate cancer in order to identify predictors of delayed therapy (DT). MATERIALS AND METHODS: We studied 714 patients treated with BT with or without external radiotherapy. DT was defined as no treatment for > 350 days after the first biopsy with cancer. Factors influencing DT were analyzed. PSA outcome was assessed only in patients with a follow up ≥ 24 months. Patients with DT were compared to patients treated < 350 days using non-parametric tests. Multivariate analysis was performed using linear-regression analysis. RESULTS: BT was deferred in 125 patients (17.5%) for a median of 607 days (IQR 445-926). Patients with DT were older (71 years versus 69 years, p = 0.04) and had significantly less aggressive disease (percentage of positive biopsies, T1 disease, Gleason 6) on univariate analysis. On multivariate analysis, age (p = 0.01) and Gleason score (p = 0.05) were predictive for DT. Median (range) PSA follow up for DT patients was 36 months (24-78). The rate of patients with DT attaining a PSA at last follow up of < 0.2 ng/mL, < 0.5 ng/mL and ≤ 1 ng/mL was 53%, 73 % and 95%, respectively; only one patient (1.6 %) had biochemical failure (p = 0.61 compared to immediate BT). Multivariate analysis showed that age was predictive (p = 0.02) for a nadir of < 0.5 ng/mL and < 0.2 ng/mL (p = 0.017) and T-stage for a PSA < 0.2 ng/mL (p = 0.04). CONCLUSIONS: This is the largest analysis of the effects of deferred BT showing a promising rate of early PSA response.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".