Abstract
The therapeutic landscape for metastatic renal cell carcinoma (mRCC) has been revolutionized by recent randomized controlled trials of recent US Food and Drug Administration approved immune checkpoint inhibitors (ICI) combinations that demonstrated improved patient outcomes, but the optimal treatment sequence in patients with mRCC remains unclear. To inform policy makers about the value of these treatments, we developed a Markov model to compare the cost effectiveness of different strategies for sequencing novel agents for the treatment of mRCC.
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