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Activity Number: 69 - Longitudinal/Correlated Data II
Type: Contributed
Date/Time: Sunday, July 29, 2018 : 4:00 PM to 5:50 PM
Sponsor: Biometrics Section
Abstract #327101 Presentation
Title: Symptom Clusters as a Visualization and Discovery Tool for Longitudinal Oncological Data
Author(s): Stephanie Van Der Pas* and Marta Fiocco
Companies: Leiden University and Leiden University
Keywords: longitudinal data; symptom clusters; oncological data; visualization

Treatment of pediatric acute lymphoblastic leukemia (ALL) typically follows a standardised regimen, consisting of several phases of therapy, with a varying number of medications administered during each phase. The Dutch Childhood Oncology Group collects data on many aspects, such as dose, relapse, infection, blood counts and toxicities.

We introduce symptom clusters as a visualization method to summarize and communicate these large amounts of longitudinal data. Symptom clusters have been previously used in a cross-sectional manner to describe the side-effects experienced by cancer patients. Our innovation is to use the symptom clusters in a longitudinal manner, and to visualize them by means of a summary measure. We discuss the method and the choices that need to be made, and the clinical insights that can be obtained from longitudinal visualization of symptom clusters. This is illustrated with data from the Dutch ALL9 protocol.

Authors who are presenting talks have a * after their name.

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