Background Diabetes mellitus is a chronic and complex disease, increasing in prevalence
and consequent health expenditure. Cost-effectiveness models with long time horizons are …

Diabetes is currently a worldwide health concern. Hyperglycemia, hypertension, obesity,
and oxidative stress are the major risk factors that inevitably lead to all the complications …

Abstract Background The IMS CORE Diabetes Model (CDM) is a widely published and
validated simulation model applied in both type 1 diabetes mellitus (T1DM) and type 2 …

The increasing prevalence of diabetes and its related complications is raising the need for
effective methods to predict patient evolution and for stratifying cohorts in terms of risk of …

Background We performed a systematic overview of the cost-effectiveness analyses (CEAs)
comparing Non-insulin antidiabetic drugs (NIADs) with other NIADs for the treatment of type …

An argument that understanding healthcare delivery as a complex adaptive system will help
us design a system that yields better health outcomes. Breakthroughs in medical science …

Background Health-economic models of diabetes are complex since the disease is chronic,
progressive and there are many diabetic complications. External validation of these models …

Aims To reduce the burden of type 2 diabetes (T2DM), the disease decision model plays a
vital role in supporting decision-making. Currently, there is no comprehensive summary and …

Objective: To identify and compare health-economic models that were developed to
evaluate the cost-effectiveness of treatments for type 2 diabetes mellitus (T2DM), and their …

Background: Big data and real-world data (RWD) have been increasingly used to measure
the effectiveness and costs in cost-effectiveness analysis (CEA). However, the …