Treatments for renal cell carcinoma: NICE Pilot Treatment Pathways Appraisal

Dawn Lee1, Madhusubramanian Muthukumar1, Alan Lovell1

  • 1Peninsula Technology Appraisal Group (PenTAG), University of Exeter, Exeter, UK.

Abstract

Insights

This study evaluated cabozantinib plus nivolumab for advanced renal cell carcinoma, finding it improved survival over existing treatments. A new decision model was developed to assess health technologies, enhancing consistency in National Institute for Health and Care Excellence evaluations.

Area of Science:

  • Oncology
  • Health Technology Assessment
  • Health Economics

Background:

  • The National Institute for Health and Care Excellence (NICE) is piloting a new health technology evaluation approach considering the full treatment pathway.
  • This report details the first pilot, evaluating systemic treatments for advanced renal cell carcinoma (RCC).

Purpose of the Study:

  • To develop a decision model for the advanced RCC treatment pathway.
  • To evaluate cabozantinib plus nivolumab as a new treatment for advanced RCC.

Main Methods:

  • Systematic literature review, randomized controlled trials, economic evaluations, and real-world evidence were used.
  • A de novo state transition model with partitioned survival analysis was constructed.
  • Structured expert elicitation informed survival estimates; network meta-analyses assessed clinical effectiveness.

Main Results:

  • Cabozantinib plus nivolumab demonstrated improved progression-free and overall survival compared to tyrosine kinase inhibitors in the first-line setting.
  • The incremental cost-effectiveness ratio (ICER) for cabozantinib plus nivolumab was £275,106/QALY in the all-risk population.
  • Other combinations like pembrolizumab plus lenvatinib showed higher ICERs; some treatments were dominated by others.

Conclusions:

  • The pilot successfully demonstrated a feasible, open-source reference model for advanced RCC treatment evaluation.
  • This model enhances consistency in NICE decision-making and aids in evaluating optimal treatment sequences.

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