Fritzen Katharina, Heinemann Lutz, Schnell Oliver
1 Sciarc Institute, Baierbrunn, Germany.
2 Science & Co GmbH, Duesseldorf, Germany.
J Diabetes Sci Technol. 2018 Sep;12(5):976-984. doi: 10.1177/1932296818785642. Epub 2018 Jul 13.
Understanding all aspects of diabetes treatment is hindered by the complexity of this chronic disease and its multifaceted complications and comorbidities, including social and financial impacts. In vivo studies as well as clinical trials provided invaluable information for unraveling not only metabolic processes but also risk estimations of, for example, complications. These approaches are often time- and cost-consuming and have frequently been supported by simulation models. Simulation models provide the opportunity to investigate diabetes treatment from additional viewpoints and with alternative objectives. This review presents selected models focusing either on metabolic processes or risk estimations and financial outcomes to provide a basic insight into this complex subject. It also discusses opportunities and challenges of modeling diabetes.
糖尿病治疗的复杂性以及其多方面的并发症和合并症，包括社会和经济影响，阻碍了人们对糖尿病治疗各个方面的理解。体内研究以及临床试验不仅为揭示代谢过程，也为例如并发症的风险评估提供了宝贵信息。这些方法往往耗时且成本高昂，并且常常得到模拟模型的支持。模拟模型提供了从其他视角和以不同目标研究糖尿病治疗的机会。本综述介绍了一些侧重于代谢过程、风险评估和经济结果的选定模型，以提供对这一复杂主题的基本认识。它还讨论了糖尿病建模的机遇和挑战。
