Real-World Use of Trifluridine/Tipiracil for Patients with Metastatic Colorectal Cancer in Canada
Bibliographic record
Abstract
Background: Outcomes for patients with metastatic colorectal cancer (MCRC) are improving with the introduction of new treatments. Treatment for patients who are still fit after failure of all available therapies represents a significant unmet need. In the present study, we analyzed real-world treatment patterns for patients enrolled in Health Canada’s trifluridine/tipiracil (FTD/TPI) Special Access Program (SAP) and Taiho Pharma Canada’s Patient Support Program (PSP). Methods: Demographic information and clinical treatment data were collected from adults with mcrc who were previously treated with, or were not candidates for, available therapies and who were enrolled in the SAP and PSP. For all patients, FTD/TPI treatment status, discontinuation reasons, and prior therapies were examined. Results: The analysis included 717 Canadian patients enrolled in the FTD/TPI sap and PSP from September 2017 to October 2018. In that cohort, 59.7% were men, median age was 65 years, and median duration of therapy was 77 days (25%–75% interquartile range: 43–106 days). Of treated patients, 67.1% maintained the same dose for the duration of therapy; 28.0% had a dose reduction. On multivariable analysis, duration of therapy was not influenced by sex, age, province, RAS mutation status, or prior therapies. However, prior oxaliplatin-based chemotherapy (CAPOX or FOLFOX) appeared to be associated with higher rates of discontinuation because of death or disease progression. Conclusions: In advanced MCRC, FTD/TPI is a well-tolerated therapy. The large number of patients enrolled in the access programs within a short period of time is reflective of major clinical need in this area, with many patients being eligible and interested in pursuing treatment in the refractory setting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".