Monitoring Adverse Events using an Interactive Web-Based Tool Ryan Bailey Rho, Inc.

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Presentation transcript:

Monitoring Adverse Events using an Interactive Web-Based Tool Ryan Bailey Rho, Inc.

Immune Tolerance Network (ITN) International Research Consortium sponsored by the NIH – 27 active studies – >2500 participants enrolled Rho serves as the Statistics and Data Coordinating Center 2

ITN027AI AbATE Trial Autoimmunity-blocking Antibody for Tolerance in type 1 diabetes (AbATE) Randomized, open-labeled, controlled trial Randomly assigned at a 2:1 ratio to receive: – Teplizumab plus standard diabetes management vs – Standard diabetes management alone 77 participants >1400 adverse events 3

Traditional Reporting Method 4

The Problem with Traditional Reporting Long and tedious Static and unresponsive Signal : NOISE 5

Possible Solutions Zink RC, Wolfinger RD, Mann G. Summarizing the incidence of adverse events using volcano plots and time intervals. Clin Trials 2013; 10:

Possible Solutions Amit O, Heiberger RM, Lane PW. Graphical approaches to the analysis of safety data from clinical trials. Pharmaceut Statist 2008; 7:

The Challenge Give medical monitors and safety monitoring committees a better way of digesting these data… …without sacrificing our ethical obligation to provide a comprehensive listing of all adverse events. 8

The Solution Create an interactive Adverse Events Explorer 9

The Value Speeds comprehension Eases the burden on the reviewers Limits the “Noise” in the data Gives the experts control 10

Future Uses Analyzing outcomes data Conducting meta-analyses Mining mechanistic datasets Exploring data 11

Technical Details Programmed in HTML and JavaScript Interactivity comes from a JavaScript library called “D3” or Data Driven Documents 12

Disclosures This project funded with federal funds from the NIAID, NIH under contract HHSN C Data presented are from ITN027AI AbATE study 13

Acknowledgments Jeremy Wildfire Emily Wilson Nathan Bryant Brandy Lind James Rochon, PhD 14

Questions Comments Discussion 15

Contact us with questions: 16

Reserve Slides 17

Ethical Appeal of Technology Data sets increasing in size and complexity Existing tools can’t keep up Industry under scrutiny for time to market Patients deserve our very best 18

Why Web-based Technology? Freely available, open source language Coder has ultimate design control Easy to deploy and share 19

Good Starter Resource for D3 20

21 Link