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Activity Number: 575 - Translating Real World Data into Robust Evidence to Inform Decisions on Medical Product Development and Life Cycle Management
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2018 : 2:00 PM to 3:50 PM
Sponsor: Section on Medical Devices and Diagnostics
Abstract #330969 Presentation
Title: The Use of Real World Data as a Bayesian Prior in a Device Clinical Trial
Author(s): Roseann White*
Companies: Duke Clinical Research Institute
Keywords:
Abstract:

There are numerous registries that collect device performance data in clinical practice, e.g. CathPCI Registry, STS Registry, TVT registry. In some cases, such as the STS database, a model has been develop to estimate the risk of a mortality or morbidity event based on baseline characteristics. Others provide outcome information on the population of interest. This presentation will present an example of using each type as a Bayesian prior. The first example with application of the STS model and a Bayesian prior in a trial for a device to address mitral valve regurgitation. The second example will be use the VQI database as a Bayesian prior for a device to restore patency in the SFA. In both cases, the process described in Haddad, et. al., J Biopharm Stat. 2017; 27(6):1089-1103 when applying the Bayesian prior.


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