Cost-Effectiveness Analysis of Different Sequences of the Use of Epidermal Growth Factor Receptor Inhibitors for Wild-Type <i>KRAS</i> Unresectable Metastatic Colorectal Cancer
Bibliographic record
Abstract
PURPOSE: Patients with unresectable wild-type KRAS metastatic colorectal cancer benefit from fluoropyrimidines (FP), oxaliplatin (O), irinotecan (I), bevacizumab (Bev), and epithelial growth factor receptor inhibitors (EGFRI). The most cost-effective regimen remains unclear. METHODS: A Markov model was constructed to examine the costs and outcomes of three treatment strategies: strategy A (reference strategy): EGFRI monotherapy in third line ([3L]; ie, first-line [1L]: Bev + FOLFIRI [FP + I] or FOLFOX [FP + O]; second line [2L]: FOLFIRI/FOLFOX; 3L: EGFRI); strategy B: EGFRI and I in 3L (ie, 1L: Bev + FOLFIRI/FOLFOX; 2L: FOLFIRI/FOLFOX; 3L: EGFRI + I); and strategy C: EGFRI in 1L (ie, 1L: EGFRI + FOLFIRI/FOLFOX; 2L: Bev + FOLFIRI/FOLFOX; 3L: best supportive care). Efficacy data of the treatments were obtained from the literature. Health system resource use information was derived from chart review and the literature. Using Euro-QOL 5 Dimensions, utilities were obtained by surveying medical oncologists and costs from the Ontario Ministry of Health and the literature. The perspective of the Canadian public health care system was used over a 5-year time horizon with a 5% discount in 2012 Canadian dollars. RESULTS: All three strategies had similar efficacy, but strategy C was most expensive. The incremental cost-effectiveness ratios (ICERs) for strategies B and C compared with A were 119,623 and 3,176,591, respectively. The model was primarily driven by the acquisition cost of the drugs. Strategy B was most cost effective when the willingness-to-pay threshold was > $130,000 per quality-adjusted life-year. Sensitivity analysis showed that strategy C would be cost-effective only when the progression-free survival of EGFRI is better than Bev in 1L with hazard ratio < 0.23 at willingness-to-pay of $150,000 per quality-adjusted life-year. CONCLUSION: First-line use of EGFRI in metastatic colorectal cancer is not cost effective at its current pricing relative to Bev.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".