Efficacy of bone resorption inhibitors (BRI) + abiraterone acetate + prednisone (AA) vs. AA alone as first-line therapy for men with castration-resistant prostate cancer (CRPC) and bone metastases (BM) in an international multicenter hospital-based registry.
Bibliographic record
Abstract
e16508 Background: BM in patients (pts) with CRPC correlate with higher mortality and costs. BRI zoledronic acid and denosumab are frequently used for the prevention of skeletal-related events (SRE) in pts with CRPC and BM. AA is the most common 1st line treatment for men with metastatic CRPC. We sought to evaluate the impact of BRI on time to first SRE (ttSRE) and OS of pts receiving 1st line therapy AA for CRPC with BM. Methods: We identified a cohort of men starting AA as 1st line therapy for CRPC with BM between 2013-2015 from 7 hospitals’ IRB approved registries. Pts were grouped by use of concomitant BRI and subgrouped by volume of disease (per E3805 definition) at AA start. The endpoints were OS, defined as time from AA start to death or last follow-up visit, and ttSRE. Results: Of the 338 pts included, 256 (76%) received AA alone and 82 (24%) AA+BRI. ECOG PS (PS) was ≥1 for 178 pts (52.7%). No statistically significant difference in ttSRE was found between the 2 cohorts [see Table]. Median follow-up for OS was 25.6 months. Pts receiving concomitant BRI showed a significantly longer OS and a 36% decreased risk of death compared to AA alone (HR = 0.64; 95% CI, 0.64 0.46-0.91; p = 0.012). Notably, OS in the AA alone group was shorter than commonly described. The OS benefit with BRI was greater for men with high volume disease (HV) (HR = 0.42; 95% CI, 0.25-0.71; p = 0.001). On MVA, BRI vs. no BRI, low volume of disease vs. HV, PS 0 vs. ≥1, baseline VAS pain ≤3 vs. > 5, and baseline PSA are independently associated with longer OS. Conclusions: Using a multicenter database, the addition of BRI to 1st line AA for CRPC men with BM and poor prognostic factors did not improve prevention of SRE. However, concomitant use of BRI and AA was associated with a significantly improved OS, particularly in HV. Further research to determine the driving factors is needed. [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 | 0.001 | 0.001 |
| 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".