Towards Recommendations for Cost-Effectiveness Analysis of Predictive, Prognostic, and Serial Biomarker Tests in Oncology
We identified various approaches for dealing with challenges in CEAs of biomarker tests for three different biomarker applications. Recommendations on assumptions, handling uncertainty, and reported outcomes were drafted to enhance modeling practices for future biomarker cost-effectiveness evaluations.
Authors
- Lorea Galnares Cordero
- Marjolijn J. L. Ligtenberg (ORCID: https://orcid.org/0000-0003-1290-1474)
- Ed Schuuring (ORCID: https://orcid.org/0000-0003-3655-143X)
- Veerle M.H. Coupé (ORCID: https://orcid.org/0000-0002-9553-9791)
- Iñaki Gutiérrez‐Ibarluzea (ORCID: https://orcid.org/0000-0002-4080-7963)
- Remond J.A. Fijneman (ORCID: https://orcid.org/0000-0003-2076-5521)
- Astrid Kramer (ORCID: https://orcid.org/0000-0002-2201-5794)
- Daan van den Broek (ORCID: https://orcid.org/0000-0002-0514-9811)
- Wim H. van Harten (ORCID: https://orcid.org/0000-0001-9580-0489)
- Gerrit A. Meijer (ORCID: https://orcid.org/0000-0003-0330-3130)
- Valesca P. Retèl (ORCID: https://orcid.org/0000-0002-5624-3234)
- Lucas F. van Schaik
Institutions
- University Medical Center Groningen (NL)
- Radboud University Nijmegen (NL)
- University of Groningen (NL)
- Radboud University Medical Center (NL)
- The Netherlands Cancer Institute (NL)
- Oncode Institute (NL)
- Amsterdam University Medical Centers (NL)
- Erasmus University Rotterdam (NL)
- University of Twente (NL)
Publication Details
- Journal
- PharmacoEconomics
- Published
- 2025-02-08
- DOI
- https://doi.org/10.1007/s40273-025-01470-7
- Citations
- 8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 10.88
Funders
- European Commission
- ZonMw