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OncoPSM: an interactive tool for cost-effectiveness analysis using partitioned survival models in oncology trial
Xulong Qiu1,2, Jidi Chen1,2, Muting Wang1
1Department of Cardiothoracic Surgery, Shantou Central Hospital, Shantou, China.
Frontiers in Pharmacology
|September 11, 2025
Summary
This study introduces OncoPSM, a novel tool for cost-effectiveness analysis (CEA) in oncology, accurately reconstructing patient data and demonstrating cost-effectiveness for new treatments. OncoPSM facilitates informed decision-making by simplifying complex treatment cost evaluations.
Area of Science:
- Health Economics
- Oncology
- Biostatistics
Background:
- Cost-effectiveness analysis (CEA) is vital for evaluating new cancer treatments.
- Existing CEA tools often struggle with the complex cost structures of oncology regimens.
- There is a need for specialized tools to handle intricate cost compositions in cancer care.
Purpose of the Study:
- To develop and validate OncoPSM, a novel application for cost-effectiveness analysis in oncology.
- To address the limitations of current CEA tools in capturing complex oncology treatment costs.
- To provide a user-friendly platform for economic evaluation of cancer therapies.
Main Methods:
- Reconstructed individual patient data (IPD) from Kaplan-Meier (KM) curves using an iterative KM algorithm.
- Developed a Partitioned Survival Model (PSM) based on fitted parametric survival functions to IPD.
- Employed treatment-cycle-specific cost analysis with uncertainty simulation via gamma distribution.
Main Results:
- OncoPSM accurately reconstructed IPD from KM curves, with low RMSE (<0.004).
- The analysis showed the experimental treatment was cost-effective, with an Incremental Cost-Effectiveness Ratio (ICER) of 121,402 RMB/QALY, below the WTP threshold.
- Uncertainty analysis indicated a 99.7% probability of cost-effectiveness for the experimental group.
Conclusions:
- OncoPSM offers a convenient and effective method for treatment-cycle-based cost analysis in oncology research.
- The application simplifies the visualization and assessment of CEA processes for decision-makers.
- OncoPSM aids in making informed decisions regarding the economic viability of novel cancer treatments.
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