An Overview of Matching Adjusted Indirect Comparisons in Single Arm Clinical Trials with Practical Recommendations and Potential Challenges

• Activity Number: 617 - Indirect Comparisons of Treatment Effects for Clinical Regulatory and Health Economic Evaluations
• Type: Topic Contributed
• Date/Time: Thursday, August 2, 2018 : 8:30 AM to 10:20 AM
• Sponsor: Biopharmaceutical Section
• Author(s): Dawn Odom* and Molly Purser and Lawrence Rasouliyan
• Companies: RTI Health Solutions and RTI Health Solutions and RTI Health Solutions
• Keywords: meta-analysis; matching adjusted indirect comparison

Abstract

In recent years, matching adjusted indirect comparison (MAIC) has gained popularity, particularly in examining comparative effectiveness of interventions assessed in single arm trials where traditional network meta-analysis approaches are not feasible. In this presentation, MAIC methodology will be reviewed focusing on the application to single arms trials and highlighting recommendations found in the recent National Institute for Health and Care Excellence Decision Support Unit report. In addition, potential challenges unique to conducting MAIC using data from single arm trials will be illustrated and discussed, such as algorithm convergence, extreme patient weights, effective sample size reduction, and generalizability of findings. Lastly, we will illustrate these issues in a recent MAIC conducted between two single arm studies in basal cell carcinoma.