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Development of a Web-Based Interactive Tool for Visualizing Breast Cancer Clinical Trial Tolerability Data.

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Summary

This study introduces an interactive web application for visualizing patient tolerability data from clinical trials. The tool helps clinicians and researchers explore adverse events and patient-reported outcomes for better treatment insights.

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Area of Science:

  • Clinical trial methodology
  • Data visualization
  • Patient-reported outcomes

Background:

  • Longitudinal patient tolerability data from clinical trials is often summarized in ways that obscure valuable insights.
  • Existing methods may not fully capture the patient treatment experience.

Purpose of the Study:

  • To develop an interactive web application for exploring and visualizing patient tolerability data.
  • To empower clinicians and researchers with enhanced data analysis capabilities.

Main Methods:

  • Utilized adverse event (AE) data and patient-reported outcomes (PROs) from the NSABP-B35 phase III clinical trial.
  • Developed an interactive web application using R and Shiny, incorporating Sankey diagrams.
  • Implemented four tools: AE Explorer, PRO Explorer, Cohort Explorer, and Custom Explorer for data visualization.

Main Results:

  • Demonstrated the application's utility with examples from NSABP-B35 and NSABP-B30 trials.
  • Users can visualize and compare AEs and PROs across treatments over specified time periods.
  • The Cohort Explorer allows visualization of patient subgroups based on symptoms and severity, while the Custom Explorer supports uploading of user data.

Conclusions:

  • An interactive web application has been developed for exploring and visualizing clinical trial tolerability data.
  • The tool is adaptable for other clinical trial data and can enhance patient-clinician discussions on treatment decisions.