MSR77 Bayesian Hierarchical Model-Based Network Meta-Analysis to Overcome Survival Extrapolation Challenges Caused by Immature Data: Application in Previously Treated Metastatic Non-Small Cell Lung Cancer (NSCLC) PD-L1>1%

Abstract

At health technology assessment (HTA) overall survival trial data is often immature. With sufficient follow-up several immunotherapies have shown disease related event risks decreasing to zero. Extrapolation methods often cannot capture this based on immature trial data alone. The aim was to inform long term survival of therapies by Bayesian hierarchical network meta-analysis (BH-NMA), which borrows information of therapies in the same class across trials.