Objectives: This study assessed the cost-effectiveness of nivolumab plus ipilimumab (NIVO+IPI) versus platinum-doublet chemotherapy (chemo) in untreated metastatic non-small cell lung cancer (NSCLC) using mixture-cure modelling, an approach used to analyse immuno-oncology treatments due to their underlying methods depicting delayed but durable response in some patients.
Methods: A mixture-cure economic model was developed from a US third-party payer perspective to assess the lifetime costs and benefits of NIVO+IPI versus chemo using data from Part 1 of the phase III CheckMate 227 trial with 5 years of follow-up. The model consisted of four health states: progression-free without long-term response (non-LTR), progression-free with long-term response (LTR), post-progression, and death.
Appl Health Econ Health Policy
November 2024
Objective: This study leveraged data from 11 independent international diabetes models to evaluate the impact of unrelated future medical costs on the outcomes of health economic evaluations in diabetes mellitus.
Methods: Eleven models simulated the progression of diabetes and occurrence of its complications in hypothetical cohorts of individuals with type 1 (T1D) or type 2 (T2D) diabetes over the remaining lifetime of the patients to evaluate the cost effectiveness of three hypothetical glucose improvement interventions versus a hypothetical control intervention. All models used the same set of costs associated with diabetes complications and interventions, using a United Kingdom healthcare system perspective.
A global rise in the prevalence of patients with chronic kidney disease (CKD) with end-stage kidney disease (ESKD) has led to a considerable and increasing burden to health systems, patients, and society. Sodium-glucose cotransporter 2 (SGLT2) inhibitors are proven to reduce incidence of cardio-renal outcomes, including onset of ESKD. Recent post hoc analyses of SGLT2 inhibitor trials extrapolate substantial delays in the average time to ESKD over a patient's lifetime.
View Article and Find Full Text PDFObjectives: The Mount Hood Diabetes Challenge Network aimed to examine the impact of model structural uncertainty on the estimated cost-effectiveness of interventions for type 2 diabetes.
Methods: Ten independent modeling groups completed a blinded simulation exercise to estimate the cost-effectiveness of 3 interventions in 2 type 2 diabetes populations. Modeling groups were provided with a common baseline population, cost and utility values associated with different model health states, and instructions regarding time horizon and discounting.