Meal size and termination is regulated by a process called satiation, which varies widely among adults with obesity.

The researchers assessed calories to satiation (CTS) and integrated a machine learning genetic risk score (CTSGRS) to predict obesity treatment outcomes.

High CTS or CTSGRS identified individuals who responded better to phentermine-topiramate, whereas low CTS or CTSGRS predicted greater weight loss with liraglutide, highlighting personalized obesity therapy.