Assessment of urologists experience with abiraterone acetate and with a real-world trial: Results obtained from a Canadian Observational Study in Metastatic Cancer of the Prostate (COSMiC).
Bibliographic record
Abstract
238 Background: Abiraterone Acetate (AA) is a selective inhibitor of the androgen biosynthesis and has significantly improved OS for mCRPC patients. Canadian Observational Study in Metastatic Cancer of the Prostate (COSMiC) is a Non-Interventional Observational Study pPhase IV clinical trial; NCT02364531) specifically designed to (1) collect real-world drug-specific outcomes (clinical and patient reported outcomes) and (2) assess urologists experience with incorporation of AA in their practice. Here we report data collected from COSMiC trial on the success of AA integration into the urology practice and physicians experience in participating in the trial. Methods: (1) A comprehensive questionnaire was developed to assess urologists experience with (a) integration and usage of AA in their practice and (b) COSMiC trial. (2) Questionnaire was sent to the active trial sites (47 sites) and collected data from 30 sites is summarized here. Results: 93.3% of participants in COSMiC trial were urologists (63.3% community vs. 30% academic). The ease of use and success in integration of AA in urology practice was rated easy by 50% of the participants, easy once they overcame few barriers by 46.7% and challenging by 3.3%. Drug-related barriers identified included time involvement (50%), resource issues such as nursing support (23.3%), and lack of appropriate infrastructure (33.3%). 90% of the active sites indicated that treating mCRPC patients with AA will be part of their practice post-trial. As part of this report we also assessed and identified physicians barriers in participating in COSMiC trial. 86.7% of the sites reported that trials such as COSMiC will add value to the therapeutic area and 93.3% of the sites reported interest in participating in trials of this nature in future. Conclusions: This report indicates that integration of AA in urology practices is considered easy and manageable for most urologists, in some cases after overcoming few initial barriers. There is high interest in participating in future real-world trials of this nature among urologists and such studies add value to the therapeutic area. Clinical trial information: NCT02364531.
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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 | 0.015 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".