Can We Accurately Predict Cost Effectiveness Without Access to Overall Survival Data? The Case Study of Nivolumab in Combination with Ipilimumab for the Treatment of Patients with Advanced Melanoma in England

BackgroundNivolumab with ipilimumab (the Regimen) is the first immuno-oncology combination treatment to demonstrate long-term clinical benefit for advanced melanoma patients. We evaluated the cost effectiveness of the Regimen in this population, with and without the availability of overall survival (OS) data.MethodsA partitioned survival model and a Markov state-transition model were developed to estimate the lifetime costs and benefits of the Regimen versus ipilimumab. These models were built with and without the availability of OS data, as only progression-free survival data were available from the head-to-head, phase III trial against ipilimumab at the time of the National Institute for Health and Care Excellence (NICE) submission. Patient utilities and resource use data were sourced from trial data or the literature.ResultsIncremental cost-effectiveness ratios (ICERs) and absolute costs were similar between the models with and without OS data, but the model with OS data generated more than 1 additional quality-adjusted life-year (QALY) across both treatment arms. In both models, based on list prices, the Regimen was the most cost-effective treatment.ConclusionsThe analyses show that the Regimen is a cost-effective treatment for advanced melanoma patients in England, and methods to overcome the lack of OS can give reasonable estimates of QALYs gained and ICERs.

[1]  Donna Niedzwiecki,et al.  Meta-analysis of phase II cooperative group trials in metastatic stage IV melanoma to determine progression-free and overall survival benchmarks for future phase II trials. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  C. Rubio-Terrés,et al.  Cost-Effectiveness of Drug Treatments for Advanced Melanoma: A Systematic Literature Review , 2017, PharmacoEconomics.

[3]  N. Latimer,et al.  The Cost of Costing Treatments Incorrectly: Errors in the Application of Drug Prices in Economic Evaluation Due to Failing to Account for the Distribution of Patient Weight. , 2016, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[4]  D. Schadendorf,et al.  Nivolumab in previously untreated melanoma without BRAF mutation. , 2015, The New England journal of medicine.

[5]  M. Burotto,et al.  Pseudoprogression and Immune-Related Response in Solid Tumors. , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[6]  D. Schadendorf,et al.  Pooled Analysis of Long-Term Survival Data From Phase II and Phase III Trials of Ipilimumab in Unresectable or Metastatic Melanoma. , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[7]  H. Martin,et al.  Complete cytogenetic response and major molecular response as surrogate outcomes for overall survival in first-line treatment of chronic myelogenous leukemia: a case study for technology appraisal on the basis of surrogate outcomes evidence. , 2013, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[8]  M. Valsecchi Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma. , 2015, The New England journal of medicine.

[9]  D. Schadendorf,et al.  Abstract CT075: Overall survival (OS) results from a phase III trial of nivolumab (NIVO) combined with ipilimumab (IPI) in treatment-naïve patients with advanced melanoma (CheckMate 067) , 2017 .

[10]  Mel Sheddon Improving choice at end of life , 2009 .

[11]  Nicholas R Latimer,et al.  Survival Analysis for Economic Evaluations Alongside Clinical Trials—Extrapolation with Patient-Level Data , 2013, Medical decision making : an international journal of the Society for Medical Decision Making.

[12]  S. Critchlow,et al.  An Exploration of Techniques for Addressing Uncertainty in Survival Estimates used Within Partitioned-Survival Models , 2016 .

[13]  J. Larkin,et al.  The Predicted Impact of Ipilimumab Usage on Survival in Previously Treated Advanced or Metastatic Melanoma in the UK , 2015, PloS one.