Patient-reported outcomes (PROs) among men receiving talazoparib (TALA) + enzalutamide (ENZA) vs placebo (PBO) + ENZA as first-line (1L) treatment for metastatic castration-resistant prostate cancer (mCRPC): Results from a phase 3 study (TALAPRO-2).
Bibliographic record
Abstract
5013 Background: TALAPRO-2 (NCT03395197) showed statistically significant improvement in radiographic progression free survival with TALA + ENZA (n=402) vs PBO + ENZA (n=403) (HR=0.63 95% CI 0.51-0.78; P<0.001) in men receiving 1L treatment for mCRPC. Here we report PRO endpoints from TALAPRO-2. Methods: PROs were assessed at day 1 (baseline) and at scheduled visits until radiographic progression (every 4 weeks until week 53, and then every 8 weeks) using the EORTC QLQ-C30 and its prostate cancer module, QLQ-PR25. Prespecified PRO analyses included overall mean change from baseline (per longitudinal repeated measures mixed-effects model) and time to definitive clinically meaningful (≥10-point change) deterioration (TTD). Between-arm comparisons of TTD were made using a stratified log-rank test and a Cox proportional hazards model. Results: Of the 805 men randomized and treated, 793 had a baseline score followed by at least 1 post-baseline score; TALA + ENZA (n=395), PBO + ENZA (n=398). Although the treatment effect on global health status (GHS)/quality of life (QoL) significantly favored PBO + ENZA, the predefined threshold of clinical meaningfulness was not met; moreover, no significant differences between the arms were observed in any functioning scales. A significantly longer TTD in GHS/QoL was observed for TALA + ENZA; HR=0.780 (95% CI: 0.62, 0.99), P=0.038; median: 30.8 months vs 25.0 months. A numerical greater delay in TTD in urinary symptoms was longer for TALA + ENZA; HR=0.759 (95% CI: 0.543, 1.061), P=0.105; median not reached vs 35.9 months. Additional PRO results will be presented. Conclusions: Compared with PBO + ENZA, in the TALA + ENZA arm there was 1) a modest deterioration disfavoring GHS/QoL (deterioration was not clinically meaningful based on the predefined threshold), and 2) a maintenance in all functioning scales. TTD in GHS/QoL was significantly longer with TALA + ENZA vs PBO + ENZA, reflecting improved disease control. These results complement the benefit-risk assessment of TALAPRO-2. Clinical trial information: NCT03395197 . [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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".