Real-world clinical outcomes study of sequential novel antihormonal therapy (NAH) or radium-223 (Ra-223) treatment of metastatic castration-resistant prostate cancer (mCRPC) that progressed after first-line NAH.
Bibliographic record
Abstract
48 Background: We assessed real-life clinical outcomes in patients with mCRPC treated in the USA who received sequential first-line (1L)/second-line (2L) NAH (abiraterone/enzalutamide or enzalutamide/abiraterone) or switched to a different mechanism of action (alpha-emitter Ra-223) after progression on 1L NAH. Methods: This was a retrospective study (PHENIX, NCT03896984) of the Flatiron electronic health record database in patients with mCRPC that progressed on 1L NAH and started 2L monotherapy with Ra-223 (n=120) or NAH (n=226) between Jan 2013 and Dec 2018. Patient characteristics, overall survival (OS) from 2L start, and symptomatic skeletal events (SSEs) were analyzed descriptively. Results: The two cohorts were generally similar at 2L start, including similar rates of bone-health agent (BHA) use, but the Ra-223 cohort had a higher incidence of bone-only metastases, shorter duration of 1L NAH, and higher rate of prior SSEs than the 2L NAH cohort (Table). Median treatment duration was 5.6 mo (median 4.5 doses) for Ra-223 and 4.7 mo for 2L NAH. Median OS from 2L start was 10.8 mo for Ra-223 and 11.2 mo for 2L NAH, with 49% and 39%, respectively, receiving subsequent therapy. Among those who received subsequent therapy, the proportion who received subsequent taxane was lower in the Ra-223 cohort (47%) than in the 2L NAH cohort (76%). SSEs were observed after 2L start in 32 patients (27%) on Ra-223 and 49 (22%) on 2L NAH. Conclusions: OS from start of 2L mCRPC treatment was similar for patients who received Ra-223 or alternative NAH in 2L. Slightly more patients received subsequent therapy in the Ra-223 cohort than in the 2L NAH cohort. Patients who received subsequent therapy were more likely to receive chemotherapy in the 2L NAH cohort, which is unsurprising as 2L NAH after 1L NAH is not highly active. Although the prior SSE rate before 2L start was higher in the Ra-223 cohort than in the 2L NAH cohort, and the two cohorts had similar rates of BHA use at 2L start, the rate of SSEs after 2L start was similar in both cohorts. Clinical trial information: NCT03896984. [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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".