Real-world corticosteroid utilization in prostate cancer patients treated with two new oral agents.
Bibliographic record
Abstract
265 Background: Two oral agents have recently been approved for the treatment of patients with metastatic castration-resistant prostate cancer (mCRPC): abiraterone acetate (AA) combined with prednisone (P) for treatment of patients with mCRPC and enzalutamide (ENZ) for patients with mCRPC previously treated with docetaxel. Although corticosteroid (CS) co-administration is not required in ENZ prescribing information, 48% of ENZ-treated patients receive CS according to a large phase III clinical trial. To date, real world CS utilization patterns in AA- and ENZ-treated patients has not been reported. Methods: ProMetis Lx administrative claims data covering multiple health plans were used to identify patients with ≥1 PC diagnosis (ICD-9 185, V10.46) during ≥6 months of claims activity before the first AA or ENZ claim (index date). The proportion of patients receiving CS (identified by NDC codes) during AA or ENZ treatment (observation period-defined as first to end of last AA or ENZ prescription) was reported using descriptive statistics. Additionally, dosing and medication possession ratio (MPR) were calculated for the subset of patients receiving P. Results: A total of 3,228 AA-treated and 675 ENZ-treated PC patients were identified. Baseline comorbidities patterns were similar between treatment groups for hypertension (AA 55%, ENZ 56%), diabetes (25% both groups), and cardiovascular disease (28% both groups). The mean (SD) observation period for AA-treated patients was 142 (133) days and for ENZ-treated patients was 74 (46) days. CS use, P dose and P MPR are described in the following table. Conclusions: CS use was common in PC patients prior to and during treatment with AA and ENZ. While this data set may underreport CS use, patterns of CS use are consistent with clinical trial data. Further research based on data with longer follow-up and additional observational datasets is warranted. [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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".