Phase 3, randomized, controlled trial of atrasentan in patients with nonmetastatic, hormone‐refractory prostate cancer
Bibliographic record
Abstract
BACKGROUND: Atrasentan is a potent, oral, selective endothelin-A (ET(A)) receptor antagonist that has clinical activity in patients with hormone-refractory prostate cancer (HRPC). In this article, the authors report the results from a phase 3, randomized, double-blind, placebo-controlled trial of atrasentan in patients with nonmetastatic HRPC. METHODS: Of 941 patients who had adequate androgen suppression and no radiographic evidence of metastases but rising prostate-specific antigen (PSA) levels, 467 patients were randomized to receive atrasentan at a dose of 10 mg, and 474 patients were randomized to receive placebo daily. The primary endpoint was the time to disease progression (TTP), which was defined as the onset of metastases. Secondary endpoints were the time to PSA progression, change in bone alkaline phosphatase (BALP) levels, PSA doubling time, and overall survival. RESULTS: There was a 93-day delay in the median TTP with atrasentan, but the difference from placebo in TTP was not statistically significant (P= .288). Large geographic differences in the median TTP were noted: in the US: The difference was 81 days longer with placebo; whereas, in non-US sites, the difference was 180 days longer with atrasentan. Atrasentan lengthened the PSA doubling time (P= .031) and slowed the increase in BALP (P< .001). The median survival was 1477 days with atrasentan and 1403 days with placebo. The most common adverse events associated with atrasentan were peripheral edema, nasal congestion, and headache, consistent with the vasodilatory properties of ET(A) receptor antagonists. CONCLUSIONS: Although the primary endpoint was not achieved, large regional differences in TTP were noted, suggesting that trial conduct may have influenced the results. The biologic activity was consistent with findings from other clinical trials of atrasentan in HRPC.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".