Projected number of people with multiple sclerosis in Germany between 2015 and 2040.

Background: The global prevalence of multiple sclerosis has shown a marked rise in recent decades, with Germany reporting the highest prevalence among European countries. This study aims to project the future number of people with multiple sclerosis in Germany until 2040 which is necessary for effective resource allocation and health care planning.

Methods: Based on data from the German statutory health insurance, the age- and sex-specific prevalence of multiple sclerosis was estimated applying mathematical relations between prevalence, incidence rate, and mortality rate.

Projecting the economic burden of type 1 and type 2 diabetes mellitus in Germany from 2010 until 2040.

Background: The aim is to estimate age- and sex-specific direct medical costs related to diagnosed type 1 and type 2 diabetes in Germany between 2010 and 2040.

Methods: Based on nationwide representative epidemiological routine data from 2010 from the statutory health insurance in Germany (almost 80% of the population's insurance) we projected age- and sex-specific healthcare expenses for type 1 and 2 diabetes considering future demographic, disease-specific and cost trends. We combine per capita healthcare cost data (obtained from aggregated claims data from an almost 7% random sample of all German people with statutory health insurance) together with the demographic structure of the German population (obtained from the Federal Statictical Office), diabetes prevalence, incidence and mortality.

Trends in incidence and mortality of early-onset cancer in Germany between 1999 and 2019.

Evidence on the recent temporal trend in the incidence and mortality of early-onset cancer, i.e., cancer diagnosed at ages of < 50 years, in Germany is scarce.

A parametric additive hazard model for time-to-event analysis.

Background: In recent years, the use of non- and semi-parametric models which estimate hazard ratios for analysing time-to-event outcomes is continuously criticized in terms of interpretation, technical implementation, and flexibility. Hazard ratios in particular are critically discussed for their misleading interpretation as relative risks and their non-collapsibility. Additive hazard models do not have these drawbacks but are rarely used because they assume a non- or semi-parametric additive hazard which renders computation and interpretation complicated.

Future number of people with diagnosed type 1 diabetes in Germany until 2040: an analysis based on claims data.

Introduction: We aim to project the number of people with diagnosed type 1 diabetes in Germany between 2010 and 2040.

Research Design And Methods: We first estimate the age-specific and sex-specific incidence and prevalence of type 1 diabetes in Germany in 2010 using data from 65 million insurees of the German statutory health insurance. Then, we use the illness-death model to project the prevalence of type 1 diabetes until 2040.

Future prevalence of type 2 diabetes-A comparative analysis of chronic disease projection methods.

Background: Accurate projections of the future number of people with chronic diseases are necessary for effective resource allocation and health care planning in response to changes in disease burden.

Aim: To introduce and compare different projection methods to estimate the number of people with diagnosed type 2 diabetes (T2D) in Germany in 2040.

Methods: We compare three methods to project the number of males with T2D in Germany in 2040.