Adult weight loss trials document considerable variation in initial weight loss, longer-term weight maintenance, and the risk of adverse events, in response to behavioral, pharmacological, and surgical treatments. There is a critical need to develop models that leverage predictors and moderators of these risks and treatment responses in order to direct the safest and most effective treatment to each patient. This session will present three NIH initiated efforts that employ common data elements to advance our understanding of individual variability in obesity treatments. Outcomes from LABS (Longitudinal Assessment of Bariatric Surgery), the ADOPT Core Measures Project (Accumulating Data to Optimally Predict obesity Treatment), and the PCORnet (National Patient-Centered Clinical Research Network), will be presented and discussed. These interdisciplinary efforts have the objective to promoting consistency, collaboration, and integration in obesity research across the broader scientific community to advance the science and treatment of obesity.
Longitudinal Assessment of Bariatric Surgery: Objectives and Outcomes
Anita P Courcoulas, MD MPH FACS
The ADOPT Core Measures Project: Early Steps Toward Tailored Therapies
Alexander Rothman, PhD
PCORnet: A National Resource for Multisite Studies of Obesity in Children and Adults
Karen J Coleman, PhD