Cost-effectiveness of FOLFIRINOX for first-line treatment of metastatic pancreatic cancer
Bibliographic record
Abstract
BACKGROUND: The accord 11/0402 trial demonstrated that folfirinox (5-fluorouracil, leucovorin, irinotecan, oxaliplatin) is significantly more efficacious than gemcitabine monotherapy in the first-line treatment of metastatic pancreatic cancer (mpc). The present study assessed the cost-effectiveness of first-line folfirinox compared with first-line gemcitabine for public payers in Canada. METHODS: A Markov model simulated the movement of mpc patients from first-line treatment until death. Overall survival (os) and progression-free survival (pfs) data were derived from accord. Published utility data and Canadian costs were applied based on time in each health state and on treatment-related adverse event (ae) rates. Costs included first- and second-line therapy, monitoring, and costs to treat aes. Two separate analyses were performed. Analysis 1 was based on trial data [first-line folfirinox followed by second-line gemcitabine compared with first-line gemcitabine followed by second-line platinum-based chemotherapy, with use of granulocyte colony-stimulating factor (g-csf) allowed], and analysis 2 used Ontario treatment patterns before folfirinox funding (first-line folfirinox followed by second-line gemcitabine compared with first-line gemcitabine followed by best supportive care, no use of g-csf). RESULTS: Compared with first-line gemcitabine, first-line folfirinox resulted in more life-years and quality adjusted life-years (qalys). Probabilistic sensitivity analysis results showed that, for analyses 1 and 2 respectively, folfirinox has a greater than 85% probability and an approximately 80% probability of being cost-effective at the $100,000 threshold. CONCLUSIONS: Compared with gemcitabine, first-line folfirinox significantly prolongs median os. Given the favourable cost per qaly, the improvement in clinical efficacy, and the limited available treatment options, folfirinox represents an attractive cost-effective treatment for mpc.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".