Technical Support Document 21 discusses trial-based, flexible relative survival models. The authors generalized flexible relative survival models to the network meta-analysis (NMA) setting while accounting for different treatment-effect specifications. The authors compared the standard parametric model with mixture, mixture cure and nonmixture cure, piecewise, splines and fractional polynomial models.
View Article and Find Full Text PDFObjectives: Survival extrapolation of trial outcomes is required for health economic evaluation. Generally, all-cause mortality (ACM) is modeled using standard parametric distributions, often without distinguishing disease-specific/excess mortality and general population background mortality (GPM). Recent National Institute for Health and Care Excellence guidance (Technical Support Document 21) recommends adding GPM hazards to disease-specific/excess mortality hazards in the log-likelihood function ("internal additive hazards").
View Article and Find Full Text PDFAim: The clinical efficacy and safety of DAURISMO (glasdegib) combined with low-dose cytarabine (LDAC) were demonstrated in the BRIGHT AML 1003 study among newly diagnosed acute myeloid leukemia patients who are not eligible to receive intensive chemotherapy. This study aims to evaluate its cost-effectiveness versus LDAC alone and azacitidine from a Canadian payer perspective.
Materials And Methods: A partitioned-survival model was developed with three health states: progression-free survival (PFS), relapse/progression and death.
This analysis evaluates the cost-effectiveness of first-line treatment with FOLFIRI + cetuximab vs FOLFIRI + bevacizumab for patients with wild-type (wt) metastatic colorectal cancer (mCRC) in Germany based on the randomized phase 3 FIRE-3 trial. For patients with wt mCRC, FOLFIRI + cetuximab yielded statistically significant median overall survival gains over FOLFIRI + bevacizumab. A standard 3-state partitioned survival cost-utility model was developed to compare the health benefits and costs of treatment from a German social health insurance perspective using individual patient-level trial data.
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