(Learn more about this study)
Initial CDAS Request Approval
Nov 17, 2020
Evaluate the impact of ovarian cancer interventions for primary prevention, screening and treatment
This research project aims to model the disease progression of ovarian cancer in the absence of interventions. We will develop a natural history model to simulate the disease progression of ovarian cancer and use it to assess the impact of cancer interventions on ovarian cancer incidence and mortality rates. For the purposes of this project we will investigate the effectiveness and cost-effectiveness of interventions across the ovarian cancer care continuum, from primary preventions to screening to treatment.
Develop a natural history model for ovarian cancer.
Evaluate the impact of cancer interventions for primary prevention.
Evaluate the impact of ovarian cancer interventions for secondary prevention.
Evaluate the effectiveness and cost-effectiveness of alternative ovarian cancer treatment interventions.
Larissa A. Meyer, The University of Texas MD Anderson Cancer Center
Karen Lu, The University of Texas MD Anderson Cancer Center
Sanjay Shete, The University of Texas MD Anderson Cancer Center