Add to ORKGA cluster analysis of five independent Swedish cohorts of people with diabetes mellitus has identified five clusters of classification based on age at diagnosis, BMI, HbA1c autoantibodies and markers of insulin resistance. Patients in each of the clusters have specific disease characteristics and unique risk profiles for complications from diabetes mellitus
INTRODUCTION: The diabetes mellitus Incidence Cohort Registry (DiMelli) aims to characterize diabete...
Time trends in prevalence, incidence and mortality was followed in 15000 diabetic patients in 1991?2...
INTRODUCTION: The diabetes mellitus Incidence Cohort Registry (DiMelli) aims to characterize diabete...
Background: Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but ty...
Background Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but typ...
Diabetes Mellitus is a chronic and lifelong disease that incurs a huge burden to healthcare systems...
Background Cluster analyses have proposed different diabetes phenotypes using age, BMI, glycaemia, h...
Background: Cluster analyses have proposed different diabetes phenotypes using age, BMI, glycaemia, ...
Introduction A Swedish data-driven cluster study identified four distinct type 2 diabetes (T2D) clus...
The Diabetes Incidence Study in Sweden (DISS) registers diabetes in young adults aged 15-34 years in...
The incidence of type 1 diabetes (T1D) in Sweden is one of the highest in the world. However, the po...
Aims/hypothesis Five clusters based on clinical characteristics have been suggested as diabetes subt...
AIMS To cluster adults with diabetes using parameters from real-world clinical care at manifestat...
Aims/hypothesis: Five clusters based on clinical characteristics have been suggested as diabetes sub...
Diabetes is not a single homogeneous disease but composed of many diseases with hyperglycaemia as a ...
INTRODUCTION: The diabetes mellitus Incidence Cohort Registry (DiMelli) aims to characterize diabete...
Time trends in prevalence, incidence and mortality was followed in 15000 diabetic patients in 1991?2...
INTRODUCTION: The diabetes mellitus Incidence Cohort Registry (DiMelli) aims to characterize diabete...
Background: Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but ty...
Background Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but typ...
Diabetes Mellitus is a chronic and lifelong disease that incurs a huge burden to healthcare systems...
Background Cluster analyses have proposed different diabetes phenotypes using age, BMI, glycaemia, h...
Background: Cluster analyses have proposed different diabetes phenotypes using age, BMI, glycaemia, ...
Introduction A Swedish data-driven cluster study identified four distinct type 2 diabetes (T2D) clus...
The Diabetes Incidence Study in Sweden (DISS) registers diabetes in young adults aged 15-34 years in...
The incidence of type 1 diabetes (T1D) in Sweden is one of the highest in the world. However, the po...
Aims/hypothesis Five clusters based on clinical characteristics have been suggested as diabetes subt...
AIMS To cluster adults with diabetes using parameters from real-world clinical care at manifestat...
Aims/hypothesis: Five clusters based on clinical characteristics have been suggested as diabetes sub...
Diabetes is not a single homogeneous disease but composed of many diseases with hyperglycaemia as a ...
INTRODUCTION: The diabetes mellitus Incidence Cohort Registry (DiMelli) aims to characterize diabete...
Time trends in prevalence, incidence and mortality was followed in 15000 diabetic patients in 1991?2...
INTRODUCTION: The diabetes mellitus Incidence Cohort Registry (DiMelli) aims to characterize diabete...