Metformin Active Surveillance Trial in Low-Risk Prostate Cancer
Bibliographic record
Abstract
PURPOSE Active surveillance (AS) is a standard management strategy for low-risk prostate cancer (PCa), but a significant proportion of patients ultimately experience disease progression. Metformin, a commonly prescribed antidiabetic agent, has demonstrated antitumor activity in preclinical studies and observational data, prompting investigation into its potential to delay PCa progression. PATIENTS AND METHODS The Metformin Active Surveillance Trial (MAST) was a multicenter, randomized, double-blind, placebo-controlled phase III trial evaluating the efficacy of metformin in men with low-risk, localized PCa managed with AS. Eligible participants were randomly assigned 1:1 to receive either metformin (850 mg twice daily) or placebo and were followed for up to 36 months. The primary end point was time to progression, defined as therapeutic and/or pathologic progression. Progression-free survival (PFS) was assessed using Kaplan-Meier analysis and Cox proportional hazards models. RESULTS A total of 408 patients were randomly assigned (205 metformin, 203 placebo). After a median follow-up of 36 months, 144 participants experienced progression (70 metformin, 74 placebo), with no significant difference in PFS (hazard ratio [HR], 1.09 [95% CI, 0.79 to 1.52]; P = .59). Negative biopsy rates at 36 months were 41.0% (metformin) versus 31.1% (placebo; P = .181). In prespecified subgroup analysis, metformin was associated with increased pathologic progression among obese patients (BMI ≥ 30; HR, 2.36 [95% CI, 1.21 to 4.59]; P = .0092). CONCLUSION Metformin did not reduce progression in men with low-risk PCa on AS. The observed adverse effect in obese patients merits further investigation.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".