Uptake and effectiveness of FOLFIRINOX for advanced pancreas cancer: A population-based study.
Bibliographic record
Abstract
245 Background: While FOLFIRINOX is a standard treatment option for advanced pancreas cancer there is little data describing utilization and effectiveness in routine clinical practice. Here we report practice patterns and outcomes in the general population of Ontario, Canada. Methods: Using the Ontario Cancer Registry and New Drug Funding Program we identified all patients with pancreas cancer treated with palliative intent gemcitabine or FOLFIRINOX in Ontario during 2006-2014. FOLFIRINOX became available in Ontario’s single-payer health system in November 2011. Gemcitabine cases were classified as pre-FOLFIRINOX era (2006-2010) or post-FOLFIRINOX era (2011-2014). Cases treated with peri-operative chemotherapy were excluded. Comparisons of proportions between study groups were made using the chi-square test. Overall survival (OS) was measured from date of chemotherapy initiation. Results: During 2006-2014, 3826 patients in Ontario were treated with Gemcitabine (n=3042) or FOLFIRINOX (n=784) chemotherapy for advanced pancreas cancer. Uptake of FOLFIRINOX increased from 41% (206/505) of treated cases in 2012 to 56% (274/486) of treated cases in 2014. Among patients treated after 2011, median age was 69 and 63 years for Gemcitabine and FOLFIRINOX respectively (p<0.001). The proportion of treated cases who received FOLFIRINOX varied considerably across geographic regions (from 26% to 58%, p<0.001). Median number of FOLFIRINOX cycles delivered was 6 (median 10 cycles in pivotal RCT). Median OS of patients treated with Gemcitabine was 5.0 months in 2006-2010 and 4.8 months in 2011-2014. Median OS of FOLFIRINOX patients treated in 2011-2014 was 8.2 months (median 11.1 months in pivotal RCT). Conclusions: Use of FOLFIRINOX in the general population has increased since 2011 with a resulting decrease in use of Gemcitabine. However, outcomes achieved with FOLFIRINOX in Ontario demonstrate a substantial efficacy-effectiveness gap between survival in the pivotal clinical trial and survival in routine 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".