Cost-Utility of a Prognostic Test Guiding Adjuvant Chemotherapy Decisions in Early-Stage Non-Small Cell Lung Cancer

Author:

Stenehjem David D.12,Bellows Brandon K.13,Yager Kraig M.4,Jones Joshua4,Kaldate Rajesh4,Siebert Uwe5678,Brixner Diana I.1956

Affiliation:

1. a Department of Pharmacotherapy, Pharmacotherapy Outcomes Research Center, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA

2. c Huntsman Cancer Institute, University of Utah Hospitals & Clinics, Salt Lake City, Utah, USA

3. d SelectHealth, Salt Lake City, Utah, USA

4. e Myriad Genetics, Inc., Salt Lake City, Utah, USA

5. f Department of Public Health, Health Services Research and Health Technology Assessment, University for Health Sciences, Medical Informatics and Technology, Tyrol, Austria

6. g Area 4 Health Technology Assessment and Bioinformatics, Oncotyrol Center for Personalized Cancer Medicine, Innsbruck, Austria

7. h Department of Health Policy and Management, Center for Health Decision Science, Harvard School of Public Health, Boston, Massachusetts, USA

8. i Cardiovascular Research Program, Institute for Technology Assessment and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA

9. b Program in Personalized Health, University of Utah, Salt Lake City, Utah, USA

Abstract

Abstract Background. A prognostic test was developed to guide adjuvant chemotherapy (ACT) decisions in early-stage non-small cell lung cancer (NSCLC) adenocarcinomas. The objective of this study was to compare the cost-utility of the prognostic test to the current standard of care (SoC) in patients with early-stage NSCLC. Materials and Methods. Lifetime costs (2014 U.S. dollars) and effectiveness (quality-adjusted life-years [QALYs]) of ACT treatment decisions were examined using a Markov microsimulation model from a U.S. third-party payer perspective. Cancer stage distribution and probability of receiving ACT with the SoC were based on data from an academic cancer center. The probability of receiving ACT with the prognostic test was estimated from a physician survey. Risk classification was based on the 5-year predicted NSCLC-related mortality. Treatment benefit with ACT was based on the prognostic score. Discounting at a 3% annual rate was applied to costs and QALYs. Deterministic one-way and probabilistic sensitivity analyses examined parameter uncertainty. Results. Lifetime costs and effectiveness were $137,403 and 5.45 QALYs with the prognostic test and $127,359 and 5.17 QALYs with the SoC. The resulting incremental cost-effectiveness ratio for the prognostic test versus the SoC was $35,867/QALY gained. One-way sensitivity analyses indicated the model was most sensitive to the utility of patients without recurrence after ACT and the ACT treatment benefit. Probabilistic sensitivity analysis indicated the prognostic test was cost-effective in 65.5% of simulations at a willingness to pay of $50,000/QALY. Conclusion. The study suggests using a prognostic test to guide ACT decisions in early-stage NSCLC is potentially cost-effective compared with using the SoC based on globally accepted willingness-to-pay thresholds.

Funder

Myriad Genetics Laboratories, Inc.

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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