Decision-analytic models for breast cancer: Do currently published models meet the requirements of personalized medicine?

摘要

Objective: To give an insight into the structure and methodology of simulation approaches used for evaluating interventions in breast-cancer. Research increasingly focuses on personalized strategies in medicine. Therefore, conventional clinical studies, genomic and proteomic (-omics) and biomarker studies need to be translated into patient-tailored prediction rules and treatment decisions. Recommendations for future comprehensive breast-cancer simulation are derived based on published simulations and requirements arising from personalized medicine.