Visualization of Multi-indication Randomized Control Trial Evidence to Support Decision Making in Oncology: A Case...

Area of Science:

• Oncology
• Biostatistics
• Health Technology Assessment

Background:

• An increasing number of oncology drugs are approved for multiple indications.
• Sharing evidence across indications can improve treatment effect estimates, especially when data is limited.

Purpose of the Study:

• To develop and evaluate visualization methods for multi-indication oncology drug evidence.
• To inform policy makers and guide expert elicitation on cross-indication assumptions.

Main Methods:

• Used bevacizumab as a case study for a multi-indication oncology drug.
• Employed timeline, ridgeline, and split-violin plots to display evidence and synthesis results across 7 cancer types.
• Focused on overall survival, progression-free survival, and models with/without information sharing.

Main Results:

• The visualizations effectively display evidence characteristics, aiding assessment of within- and across-indication heterogeneity.
• The methods help evaluate the feasibility of information-sharing models for multi-indication drugs.
• Graphical representations clarify the evolution of evidence and synthesis outcomes.

Conclusions:

• Clear graphical displays enhance understanding of multi-indication evidence bases.
• These visualizations support judgments on appropriate data use within and across indications.
• Proposed displays facilitate expert discussions on information-sharing methods in evidence synthesis.