Influence of CHAARTED, STAMPEDE, and LATITUDE eligibility criteria on utilization of abiraterone (A) and docetaxel (D).
Bibliographic record
Abstract
301 Background: A and D improve the survival of men with high-risk localized or metastatic hormone-naïve prostate cancer (HNPC) when combined with androgen deprivation therapy (ADT). However, the two drugs differ regarding side effects, treatment duration, and associated costs. Furthermore, different eligibility criteria were used in the seminal phase III studies. Since the latter may impact on drug access in many constituencies, we decided to study how applying the eligibility criteria of CHAARTED, STAMPEDE and LATITUDE for drug funding purposes might influence the utilization of A versus D. Methods: 102 men with HNPC were referred from 06/2014 to 09/2017 to the medical oncology service at Odette Cancer Centre (Toronto/ON, Canada) for consideration of additional systemic therapy secondary to ADT. After extraction of baseline patient characteristics, we applied the eligibility criteria of CHAARTED (both high-volume [HV] and low-volume [LV] definition), STAMPEDE, and LATITUDE to determine the rate of men qualifying for treatment with A, D, or either of the two agents. Results: 98.0, 69.6, 28.4, and 47.1 percent of all 102 men fulfilled the STAMPEDE, CHAARTED-HV, CHAARTED-LV, and LATITUDE criteria, respectively. Considering that A funding for HNPC therapy is pending in Ontario, and that D funding is limited to men with CHAARTED-HV disease, the rate of D therapy was 62.0, 69.0, and 77.1 percent of patients conforming to STAMPEDE, CHAARTED-HV, and LATITUDE, respectively. 42 of 48 men (87.5%) conforming to LATITUDE would also be candidates for D, whereas 42 of 71 CHAARTED-HV patients (59.2%) would be eligible for A as alternative treatment. Hence, while all men fulfilling the STAMPEDE criteria (100 of 102, 98%) could be considered for either A or D, only 42 of 102 patients (41.2%) would be candidates for both of the drugs if the CHAARTED-HV and LATITUDE criteria were applied. Conclusions: In our patient population, applying the more restrictive CHAARTED-HV and LATITUDE criteria - as opposed to STAMPEDE - would result in around 30% or 50% fewer men offered D or A secondary to ADT, respectively. In addition, only around 40% of men would conform to both CHAARTED-HV and LATITUDE, and thus be candidates for both drugs.
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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 | 0.003 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".