Adherence Patterns for Abiraterone Acetate and Concomitant Prednisone Use in Patients with Prostate Cancer
Bibliographic record
Abstract
BACKGROUND: With the growing use of oral anticancer medications, understanding adherence patterns has become increasingly important. Abiraterone acetate (AA) is a prodrug of abiraterone, a novel androgen biosynthesis inhibitor. AA is approved for use in combination with prednisone for treatment of patients with metastatic castration-resistant prostate cancer. OBJECTIVE: To evaluate AA and concomitant prednisone utilization and adherence patterns for patients with prostate cancer in the United States. METHODS: This study used data from 2 administrative health care claims databases--Dataset 1: Truven Health Analytics MarketScan (December 2010 to August 2012) and Dataset 2: Symphony Health Solutions' ProMetis Lx (June 2009 to March 2013). To evaluate the consistency of medication-taking behavior, adherence was measured using medication possession ratio (MPR), which was calculated as the sum of days of supply divided by the days on therapy in patients with at least 2 AA prescriptions. Additional outcomes included the proportion of patients taking prednisone, mean and median daily dose of AA, and concomitant prednisone use. Adherence was also studied by age, health care plan type, or previous recent chemotherapy subgroups. RESULTS: 515 patients (mean age: 72.2) and 3,228 patients (mean age: 72.2) with at least 1 AA claim were selected from Dataset 1 and Dataset 2, respectively. The mean (median) daily AA dose per person per prescription was 998.8 (1,000) mg for Dataset 1 and 994.2 (1,000) mg for Dataset 2, which is within 1% of the recommended daily dose (1,000 mg). Mean (median) MPR was 93% (98%; n = 492) in Study Population 1 and 93% (100%; n = 2,449) in Study Population 2. The mean (median) daily prednisone dose per person per prescription was similar in both datasets with 10.1 (10.0; n = 488) mg and 10.6 (10.0; n = 2,425) mg in Dataset 1 and 2, respectively. Similar adherence patterns were observed for patients in different age groups, for patients with commercial health care plans versus patients with Medicare coverage, and for patients with recent chemotherapy compared with patients without. CONCLUSIONS: Results from 2 observational studies reported high levels of adherence to AA dosing and administration patterns consistent with prescribing information. These findings provide useful insights into the treatment patterns in patients with prostate cancer treated with AA and can contribute to the current discussion in oncologic research and practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".