Darolutamide and time to pain progression by disease volume in ARASENS.
Bibliographic record
Abstract
e17075 Background: In ARASENS (NCT02799602), darolutamide (DARO) + androgen-deprivation therapy (ADT) + docetaxel significantly reduced risk of death by 32.5% (hazard ratio [HR] 0.68, 95% confidence interval [CI[ 0.57–0.80; P< 0.0001) and significantly delayed time to pain progression (HR 0.79, 95% CI 0.66–0.95; P= 0.006) vs placebo (PBO) + ADT + docetaxel in patients with metastatic hormone-sensitive prostate cancer (mHSPC). We report time to pain progression in patients (pts) with high/low disease volume (HV/LV). Methods: Pts with mHSPC were randomized to oral DARO 600 mg twice daily or PBO, both + ADT + docetaxel. Pain was assessed by the Brief Pain Inventory short form “pain at its worst” score (WPS). Pain progression was defined as WPS increase ≥2 points from nadir (and absolute WPS ≥4 if > 0 at baseline) or initiation of opioid therapy for ≥7 consecutive days. A sensitivity analysis assessed pain progression after completion of docetaxel. HV/LV subgroups were defined per CHAARTED. Results: 1305 pts (DARO 651, PBO 654) were analyzed. At baseline, the mean WPS was 1.5 (standard deviation 1.9) vs 1.4 (1.8) in the DARO vs PBO groups; 258 (40%) vs 274 (42%) pts had no pain (WPS 0). DARO + ADT + docetaxel had a robust impact on delaying time to pain progression vs PBO + ADT + docetaxel in the post-docetaxel sensitivity analysis (stratified HR 0.75, 95% CI 0.62–0.90) and in the HV subgroup (unstratified HR 0.75, 95% CI 0.61–0.93) (Table). Overall, median time to pain progression was longer in the LV vs HV subgroup. WPS change from nadir was the main driver of pain progression events. Conclusions: In pts with mHSPC, the addition of DARO to ADT and docetaxel provided clinically meaningful benefit through delayed time to pain progression, notably in pts with HV disease. Increased overall survival, a delay in time to pain progression, and a favorable safety profile set DARO + ADT + docetaxel as a new standard of care for pts with mHSPC. Clinical trial information: NCT02799602 . [Table: see text]
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".