Pretreatment prostate‐specific antigen velocity is associated with development of distant metastases and prostate cancer mortality in men treated with radiotherapy and androgen‐deprivation therapy
Bibliographic record
Abstract
BACKGROUND: In men with prostate cancer, pretreatment prostate-specific antigen (PSA) velocity (PSAV) has been demonstrated as a predictor of biochemical and survival outcomes in patients undergoing radical prostatectomy (RP). The utility of pretreatment PSAV in predicting outcomes after radiotherapy (RT), with or without androgen-deprivation therapy (ADT), is less certain. This study was undertaken to determine whether pretreatment PSAV is associated with biochemical disease-free survival, patterns of recurrence, and survival outcomes in men treated with radiation therapy and ADT. METHODS: Two hundred seventy-seven patients with intermediate- and high-risk prostate cancer treated with RT and ADT formed the study cohort. Kaplan-Meier survival estimates and Cox regression analyses were used to evaluate whether PSAV was associated with disease outcomes. RESULTS: The median age of diagnosis was 70 years, and the median follow-up was 6.8 years. Men with a PSAV in the highest quartile tended to have higher risk disease at presentation (P = .028). After adjustment for known prognostic factors and duration of ADT, men who had a PSAV in the highest quartile had an increased risk of distant metastasis (hazard ratio [HR], 4.0; 95% confidence interval [95% CI], 1.61-9.9 [P = .003]) and prostate cancer-specific mortality (HR, 2.75; 95% CI, 1.27-5.95 [P = .01]) compared with men who had a lower PSAV, but had no increase in the risk of local recurrence (P = .76). CONCLUSIONS: A high pretreatment PSAV was associated with distant metastasis and prostate cancer-specific mortality but not with local recurrence. A high pretreatment PSAV may signify the presence of occult metastatic disease. Randomized trials are needed to determine whether more aggressive intervention is required in men who present with high pretreatment PSAV.
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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 | 0.002 |
| 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".