Real-World Outcomes of Incurable Cancer Patients Treated with Unlisted Anticancer Treatments in an Academic Center in Quebec, Canada
Bibliographic record
Abstract
Medical oncology is a rapidly evolving field, with new medications being discovered yearly, contributing to increased survival rates. However, accessing drugs in a timely manner can be challenging. In Quebec, Canada, a physician can prescribe an unlisted anticancer treatment through a regulated pathway under exceptional circumstances. We conducted a quality improvement study describing the outcomes of incurable cancer patients receiving unlisted anticancer therapy at the Jewish General Hospital between 2018 and 2019. Though our study did not include a comparator arm, unlisted anticancer therapies were associated with interesting median progression-free survival (11 months) and overall survival (25 months). Moreover, a large proportion of treatments, 44%, were subsequently reimbursed in the province of Quebec. Given the delay in anticancer drug reimbursement, this pathway is essential for timely access to oncology drugs. Such 'special access' programs will likely become increasingly important as precision medicine becomes the standard of practice.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".