Abstract
Purpose
A first cost-effectiveness analysis has raised a strong concern regarding the cost of tumor treatment fields (TTF) added to maintenance temozolomide for patients with glioblastoma. This evaluation was based on effectiveness outcomes from an interim analysis of the pivotal trial, moreover it used a “standard” Markov model. Our objective was to update the cost-effectiveness evaluation using the more flexible potential of the “partitioned survival” model design and using the latest effectiveness data.
Methods
We developed the model with three mutually exclusive health states: stable disease, progressive disease, and dead. Good fit parametric models were developed for overall survival and progression free survival and these generated clinically plausible extrapolations beyond the observed data. We adopted the perspective of the French national health insurance and used a 20-year time horizon. Results were expressed as cost/life-years (LY) gained (LYG).
Results
The base case model generated incremental benefit of 0.604 LY at a cost of €453,848 which, after 4% annual discounting of benefits and costs, yielded an incremental cost effectiveness ratio (ICER) of €510,273/LYG. Using sensitivity analyses and bootstrapping methods results were found to be relatively robust and were only sensitive to TTF device costs and the modelling of overall survival. To achieve an ICER below €100,000/LYG would require a reduction in TTF device cost of approximately 85%.
Conclusions
Using a different type of model and updated survival outcomes, our results show TTF remains an intervention that is not cost-effective, which greatly restrains its diffusion to potentially eligible patients.
Similar content being viewed by others
References
Bauchet L et al (2010) Oncological patterns of care and outcome for 952 patients with newly diagnosed glioblastoma in 2004. Neuro Oncol 12(7):725–735
Preusser M et al (2015) Prospects of immune checkpoint modulators in the treatment of glioblastoma. Nat Rev Neurol 11(9):504–514
Stupp R et al (2014) High-grade glioma: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol 25(Suppl 3):93–101
Stupp R et al (2005) Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 352(10):987–996
Stupp R et al (2009) Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. Lancet Oncol 10(5):459–466
Chinot OL et al (2014) Bevacizumab plus radiotherapy-temozolomide for newly diagnosed glioblastoma. N Engl J Med 370(8):709–722
Gilbert MR et al (2014) A randomized trial of bevacizumab for newly diagnosed glioblastoma. N Engl J Med 370(8):699–708
Seiz M et al (2010) Long-term adjuvant administration of temozolomide in patients with glioblastoma multiforme: experience of a single institution. J Cancer Res Clin Oncol 136(11):1691–1695
Stupp R et al (2015) Maintenance therapy with tumor-treating fields plus temozolomide vs temozolomide alone for glioblastoma: a randomized clinical trial. JAMA 314(23):2535–2543
Bernard-Arnoux F et al (2016) The cost-effectiveness of tumor-treating fields therapy in patients with newly diagnosed glioblastoma. Neuro Oncol 18(8):1129–1136
Stupp R et al (2017) Effect of tumor-treating fields plus maintenance temozolomide vs maintenance temozolomide alone on survival in patients with glioblastoma: a randomized clinical trial. JAMA 318(23):2306–2316
Guzauskas GF, Salzberg M, Wang BC (2018) Estimated lifetime survival benefit of tumor treating fields and temozolomide for newly diagnosed glioblastoma patients. CNS Oncol 7(3):CN23
Williams C et al (2017) Estimation of survival probabilities for use in cost-effectiveness analyses: a comparison of a multi-state modeling survival analysis approach with partitioned survival and Markov decision-analytic modeling. Med Decis Making 37(4):427–439
Minacori R et al (2015) How to model survival in cost-effectiveness analysis? Differences between Markov and partitioned survival analysis models. Value Health 18(7):A704
Waschke A et al (2018) Cost-effectiveness of the long-term use of temozolomide for treating newly diagnosed glioblastoma in Germany. J Neurooncol 138(2):359–367
Wu B et al (2012) Subgroup economic analysis for glioblastoma in a health resource-limited setting. PLoS ONE 7(4):e34588
Guyot P et al (2012) Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves. BMC Med Res Methodol 12:9
Crowther MJ, Lambert PC (2013) stgenreg: A stata package for general parametric survival analysis. J Statis Softw 53(12):1–17
Porter KR et al (2011) Conditional survival of all primary brain tumor patients by age, behavior, and histology. Neuroepidemiology 36(4):230–239
Cronin AT, Uno H (2016) strmst2 and strmst2pw: New commands to compare survival curves using the restricted mean survival time. Stata J 16(3):702–716
(OECD), T.O.f.E.C.-o.a.D. [cited 2018 Nov 2018]. https://data.oecd.org/price/inflation-cpi.html
Haute Autorité de Santé (HAS), Choice in methodsfor economic evaluation: a methodological guide, October 2012.
Gallacher D, Achana F (2018) Assessing the health economic agreement of different data sources. Stata J 18(1):223–233
Alexandersson A (2004) Graphing confidence ellipses: an update of ellip for Stata 8. Stata J 4(3):242–256
Cartier-Bechu CG, Sivignon M, Pignata M, Petitjean A, Monnier R, Roze S (2016) Is there a threshold in France?: First exhaustive review of published health-economic appraisals by the Haute Autorite De Sante (HAS), (French National Authority for Health) Value in Health. Abstract PHP287
Garside R et al (2007) The effectiveness and cost-effectiveness of carmustine implants and temozolomide for the treatment of newly diagnosed high-grade glioma: a systematic review and economic evaluation. Health Technol Assess 11(45):iii-iv, ix-221
Messali A, Hay JW, Villacorta R (2013) The cost-effectiveness of temozolomide in the adjuvant treatment of newly diagnosed glioblastoma in the United States. Neuro Oncol 15(11):1532–1542
Lamers LM et al (2008) Cost-effectiveness of temozolomide for the treatment of newly diagnosed glioblastoma multiforme: a report from the EORTC 26981/22981 NCI-C CE3 Intergroup Study. Cancer 112(6):1337–1344
Kovic B, Xie F (2015) Economic evaluation of bevacizumab for the first-line treatment of newly diagnosed glioblastoma multiforme. J Clin Oncol 33(20):2296–2302
Guzauskas GF et al (2019) Tumor treating fields and maintenance temozolomide for newly diagnosed glioblastoma: a cost-effectiveness study. J Med Econ. https://doi.org/10.1080/13696998.2019.1614933
Collet D (2003) Modelling survival data in medical research. Chapman Hall, London, pp 1–391
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Connock, M., Auguste, P., Dussart, C. et al. Cost-effectiveness of tumor-treating fields added to maintenance temozolomide in patients with glioblastoma: an updated evaluation using a partitioned survival model. J Neurooncol 143, 605–611 (2019). https://doi.org/10.1007/s11060-019-03197-w
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11060-019-03197-w