Animation of Adverse Event Profiles (AdEPro)

Animation of Adverse Event Profiles (AdEPro) animates adverse event profiles to visualize onset, severity, and progression of clinical trial adverse event data and to support exploratory hypothesis generation and safety assessment.


Key Features:

  • Interactive Visualization: Dynamically visualizes onset, severity, and progression of adverse events at individual-subject and treatment-group levels to reveal temporal patterns and trends.
  • Audio-Visual Integration: Incorporates audio elements alongside visual displays to augment identification of significant patterns and anomalies.
  • Hypothesis Generation: Enables rapid formulation of questions about temporal aspects of adverse events, associations between events, and influence of subject characteristics, intended for exploratory analysis rather than statistical proof.
  • Local Data Processing: Processes patient data locally on the user's machine to preserve data confidentiality during analysis.
  • Scalability: Implemented to handle large datasets typical of clinical trials without compromising performance.

Scientific Applications:

  • Clinical safety assessment: Clarifies adverse event profiles to support assessment of drug safety and efficacy in clinical research settings.
  • Exploratory pattern discovery: Highlights temporal patterns and associations among adverse events to prioritize further statistical investigation.
  • Early-stage data analysis: Supports initial identification of potential risks and areas requiring deeper analysis.

Methodology:

AdEPro uses R for statistical computing and graphics to render visualizations, processes data locally on the analyst's machine, and is implemented to accommodate large clinical-trial datasets without compromising performance.

Topics

Details

License:
GPL-3.0
Tool Type:
library, web application
Programming Languages:
R
Added:
1/18/2021
Last Updated:
1/21/2021

Operations

Publications

Mentenich N, Tasto C, Becker B. AdEPro: Animation of Adverse Event Profiles—Presentation of an Easy-to-Use App for Visually Exploring Individual Study Data. Therapeutic Innovation & Regulatory Science. 2020;54(6):1512-1521. doi:10.1007/s43441-020-00178-4. PMID:32529631.

Documentation