Literature DB >> 32412387

The cost effectiveness of pembrolizumab versus chemotherapy or atezolizumab as second-line therapy for advanced urothelial carcinoma in the United States.

Rachael Louise Slater1, Yizhen Lai2, Yichen Zhong2, Haojie Li2, Yang Meng1, Blanca Homet Moreno2, James Luke Godwin2, Tara Frenkl2, Guru P Sonpavde3, Ronac Mamtani4.   

Abstract

Aims: Pembrolizumab demonstrated significantly prolonged overall survival (OS) vs. chemotherapy in the Phase III KEYNOTE-045 trial, and is approved in the US for the treatment of patients with locally advanced or metastatic urothelial carcinoma (mUC) who progressed after platinum-based chemotherapy. Using longer follow-up and individual patient-data from KEYNOTE-045, this study evaluates the cost-effectiveness of pembrolizumab vs. chemotherapy or atezolizumab from a US payer perspective.Materials and methods: A partitioned-survival model was developed over a 20-year time horizon. Progression-free survival (PFS) and OS for pembrolizumab and chemotherapy were extrapolated using a piecewise modelling approach, where patient-level data from KEYNOTE-045 were used for the initial period followed by parametric distributions. OS of atezolizumab was estimated by indirect treatment comparisons based on KEYNOTE-045 and IMvigor211. Different scenarios were explored in the absence of indirect comparisons on PFS and time-on-treatment (ToT) between pembrolizumab and atezolizumab. Drug acquisition/administration, disease management, adverse events, and terminal care costs were considered.
Results: Compared with chemotherapy, pembrolizumab resulted in a mean gain of 1.33 life-years and 1.14 quality-adjusted life-years (QALYs) and an incremental cost of $106,299, yielding an incremental cost-effectiveness ratio of $93,481/QALY gained. Pembrolizumab dominated atezolizumab in extending patients' life by 0.89 years and 0.76 QALYs, while reducing costs by $26,458. Key drivers of cost-effectiveness included survival extrapolation, OS hazard ratio of pembrolizumab vs. atezolizumab, and time horizon. Pembrolizumab had a 66% and 100% probability of being cost-effective vs. chemotherapy and atezolizumab, respectively, at a $100,000 willingness-to-pay threshold.Limitations and conclusions: Uncertainties remain with extrapolated PFS and OS for pembrolizumab, OS indirect comparison, and ToT for atezolizumab. Despite these limitations, the model used robust methods to estimate key clinical endpoints with patient-level data from longer follow-up of KEYNOTE-045. Pembrolizumab dominates atezolizumab and is very likely cost-effective vs. chemotherapy in 2 L mUC at a $100,000 willingness-to-pay threshold.

Entities:  

Keywords:  C50; C51; Cost-benefit analysis; carcinoma; cost-utility analysis; immunotherapy; pembrolizumab; urinary bladder

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Year:  2020        PMID: 32412387     DOI: 10.1080/13696998.2020.1770261

Source DB:  PubMed          Journal:  J Med Econ        ISSN: 1369-6998            Impact factor:   2.448


  4 in total

Review 1.  Cost-Effectiveness of Immune Checkpoint Inhibitors in Urothelial Carcinoma-A Review.

Authors:  Arman S Walia; Randy F Sweis; Piyush K Agarwal; Andrew K Kader; Parth K Modi
Journal:  Cancers (Basel)       Date:  2021-12-24       Impact factor: 6.639

2.  A Novel Nine-lncRNA Risk Signature Correlates With Immunotherapy in Hepatocellular Carcinoma.

Authors:  Ye Nie; Jianhui Li; Wenlong Wu; Dongnan Guo; Xinjun Lei; Tianchen Zhang; Yanfang Wang; Zhenzhen Mao; Xuan Zhang; Wenjie Song
Journal:  Front Oncol       Date:  2021-09-15       Impact factor: 6.244

3.  Atezolizumab plus platinum-based chemotherapy as first-line therapy for metastatic urothelial cancer: A cost-effectiveness analysis.

Authors:  Xiaoyan Liu; Yitian Lang; Qingqing Chai; Yan Lin; Yahui Liao; Yizhun Zhu
Journal:  Front Pharmacol       Date:  2022-08-22       Impact factor: 5.988

Review 4.  Targeted Molecular Therapeutics for Bladder Cancer-A New Option beyond the Mixed Fortunes of Immune Checkpoint Inhibitors?

Authors:  Olga Bednova; Jeffrey V Leyton
Journal:  Int J Mol Sci       Date:  2020-10-01       Impact factor: 5.923

  4 in total

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