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Standardizing Pro-CTCAE Analyses and Output: Must Have, Helpful to Have, and Easy to Understand
Speaker(s)
Skaltsa K1, Shaw J2, Hawryluk E3, Bean SE3, Reaney M4
1IQVIA, Barcelona, B, Spain, 2Bristol-Myers Squibb, Lawrenceville, NJ, USA, 3IQVIA, New York, NY, USA, 4IQVIA, Reading, UK
OBJECTIVES:
Patient-reported treatment experiences are increasingly important in oncology drug development and clinical practice. The Patient Reported Outcomes – Common Terminology Criteria for Adverse Events (PRO-CTCAETM) was developed to explore patient perceptions of symptomatic effects. Although analyzing and presenting data consistently across drugs/clinical programs/sponsors is beneficial for decision making, there is no definitive guidance on how to analyze or present PRO-CTCAE™ data. While the Food and Drug Administration (FDA) has presented a framework for describing and visualizing PRO-CTCAE™ data, numerous questions remain, including: “What is the appropriate denominator in calculating incidence?”; “How should missing data be summarized?”; and “Which graphical presentation is easiest to interpret?”.METHODS:
Based on a review of the literature; the authors own experiences in analyzing, interpreting, and presenting PRO-CTCAE™ data; and post-hoc exploration of trial data, key questions to ask of PRO-CTCAE™ data have been considered.RESULTS:
We recommend a standard set of 26 questions related to completion rates, evolution of symptom experiences, and treatment effects, as well as associated analyses and graphical presentations to inform regulatory/payer decision making and support clinical interactions. Three levels of recommended analyses are specified to answer these key questions: (1) Core analyses to inform messaging to regulators, payers, and sponsor teams; (2) Contextual/supportive analyses to facilitate messaging derived from core analyses; (3) Additional analyses for communicating with patients and clinicians. Each analysis should produce a combination of tables and graphical presentations. A variety of presentation modalities, including stacked bar charts, line graphs, pie charts and Kaplan Meier curves, are recommended depending on the key question.CONCLUSIONS:
An iterative approach was taken to propose a list of PRO-CTCAE™ questions, analyses and data presentations that should resonate with regulators and payers and support interactions between patients and clinicians. We propose consistency between sponsors in analyzing and presenting PRO-CTCAE™ data to facilitate review and comparison.Code
PCR22
Topic
Clinical Outcomes, Methodological & Statistical Research, Patient-Centered Research
Topic Subcategory
Clinical Outcomes Assessment, Patient-reported Outcomes & Quality of Life Outcomes, PRO & Related Methods
Disease
No Additional Disease & Conditions/Specialized Treatment Areas