Concurrent or layered treatment (Tx) with radium-223 (Ra-223) and enzalutamide (Enza) or abiraterone plus prednisone/prednisolone (Abi/pred): A retrospective study of real-world clinical outcomes in patients (pts) with metastatic castration-resistant prostate cancer (mCRPC).
Bibliographic record
Abstract
50 Background: In clinical practice, Ra-223 is often combined with Enza or Abi/pred. ERA 223 (NCT02043678) showed increased fracture risk with concurrent Ra-223+Abi/pred. We assessed real-world symptomatic skeletal events (SSEs) and overall survival (OS) of pts with mCRPC who received concurrent or layered Ra-223+Enza or Abi/pred. Methods: Patients with mCRPC treated with Ra-223 in US cancer clinics from 1/01/2013 to 6/30/2017 were identified from a Flatiron prostate cancer registry of electronic health records. Tx initiation defined subgroups: concurrent (both started within 30 days) or layered (1 started ≥30 days after the other). Baseline (BL) was the first dose of Ra-223. Descriptive analysis was performed for BL characteristics, SSEs, and OS (Kaplan–Meier). Results: Of 625 pts treated with Ra-223, 48% received Ra-223+Enza or Abi/pred. Layered Tx was more common (73%) than concurrent (27%). BL characteristics and clinical outcomes were summarized [Table]. Conclusions: Ra-223+Enza or Abi/pred Tx was mainly layered. SSE rates with layered vs concurrent Ra-223+Abi/pred varied between subgroups; results must be treated cautiously given small pt numbers and a non-randomized study. The ongoing PEACE III trial is investigating concurrent Ra-223+Enza; a Phase III study (ESCALATE) exploring layered Ra-223+Enza is planned. Clinical trial information: NCT02043678. [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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".