A randomized study of enzalutamide in patients with localized prostate cancer undergoing active surveillance (ENACT).
Bibliographic record
Abstract
TPS5097 Background: Prostate cancer (PC) patients (pts) who select active surveillance (AS) are a heterogeneous population with varying risks for disease progression. Studies have estimated that approximately 31–42% of pts electing AS have experienced disease progression (pathological or therapeutic) over 1.8 and 2.3 years. There is no evidence-based pharmacological intervention which has effectively lessened this progression event. Pharmacological intervention with enzalutamide (ENZ), an androgen receptor inhibitor approved for treatment of metastatic castration-resistant PC, may lessen this progression. The aims of this study are to evaluate the efficacy of ENZ versus AS alone for delaying time to progression in pts with clinically localized PC undergoing AS. This study examines the effects of ENZ on progression in a subset of pts with low- or intermediate-risk PC who would otherwise elect an AS protocol. Methods: This is a multicenter, randomized, open-label study (NCT02799745). Eligibility criteria include histologically confirmed prostate adenocarcinoma within 6 months of screening, low or intermediate risk PC (T1c−T2c, prostate-specific antigen [PSA] < 20, N0, M0, Gleason score ≤7 [3+4 pattern only]), Eastern Cooperative Oncology Group status ≤2 and estimated life expectancy > 5 years. Exclusion criteria include any prior PC intervention. Pts will be randomized to receive open-label oral ENZ 160 mg/day once daily or to AS during the 1-year study treatment period. After the first year, all pts will be followed for one additional year with no other intervention. All pts will undergo prostate biopsy at 1 and 2 years. The primary end point is time to PC progression (pathological or therapeutic). Secondary end points include safety, incidence of negative biopsies for cancer at 1 and 2 years, percentage of cancer positive cores at 1 and 2 years, time to PSA progression, incidence of secondary rise in serum PSA, and quality-of-life questionnaires. Exploratory end points include biomarker assessment and genomic analysis. Study enrolment commenced in June 2016, with study completion expected in March 2019. Planned total enrolment is 222 pts from ~60 United States/Canadian sites. Clinical trial information: NCT02799745.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".