Aims/hypothesis: Data analyses from Swedish individuals with newly diagnosed diabetes have suggested that diabetes could be classified into five subtypes that differ with respect to the progression of dysglycaemia and the incidence of diabetes consequences. We assessed this classification in a multiethnic cohort of participants with established and newly diagnosed diabetes, randomly allocated to insulin glargine vs standard care. Methods: In total, 7017 participants from the Outcome Reduction with Initial Glargine Intervention (ORIGIN) trial were assigned to the five predefined diabetes subtypes (namely, severe auto-immune diabetes, severe insulin-deficient diabetes, severe insulin-resistant diabetes, mild obesity-related diabetes, mild age...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
[[abstract]]Heterogeneity in type 2 diabetes presentation, progression and treatment has the potenti...
Background: A novel data-driven classification of type 2 diabetes has been proposed to personalise a...
Aims/hypothesis: Data analyses from Swedish individuals with newly diagnosed diabetes have suggested...
Background: Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but ty...
Aims/hypothesis: Five clusters based on clinical characteristics have been suggested as diabetes sub...
Aims/hypothesis: Five clusters based on clinical characteristics have been suggested as diabetes sub...
Background Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but typ...
Aims/hypothesis: Individuals with diabetes can be clustered into five subtypes using up to six routi...
Aims: Newly-defined subgroups of type 2 diabetes mellitus (T2DM) have been reported from real-world ...
Research using data-driven cluster analysis has proposed five subgroups of diabetes with differences...
Aims: To validate the clusters of Swedish individuals with recent-onset diabetes at differential ris...
Background: Type 2 diabetes is a syndrome defined by hyperglycaemia that is the result of various de...
Introduction A Swedish data-driven cluster study identified four distinct type 2 diabetes (T2D) clus...
Diabetes includes various heterogeneous factors. Similar to subtypes of type 1 diabetes, type 2 diab...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
[[abstract]]Heterogeneity in type 2 diabetes presentation, progression and treatment has the potenti...
Background: A novel data-driven classification of type 2 diabetes has been proposed to personalise a...
Aims/hypothesis: Data analyses from Swedish individuals with newly diagnosed diabetes have suggested...
Background: Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but ty...
Aims/hypothesis: Five clusters based on clinical characteristics have been suggested as diabetes sub...
Aims/hypothesis: Five clusters based on clinical characteristics have been suggested as diabetes sub...
Background Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but typ...
Aims/hypothesis: Individuals with diabetes can be clustered into five subtypes using up to six routi...
Aims: Newly-defined subgroups of type 2 diabetes mellitus (T2DM) have been reported from real-world ...
Research using data-driven cluster analysis has proposed five subgroups of diabetes with differences...
Aims: To validate the clusters of Swedish individuals with recent-onset diabetes at differential ris...
Background: Type 2 diabetes is a syndrome defined by hyperglycaemia that is the result of various de...
Introduction A Swedish data-driven cluster study identified four distinct type 2 diabetes (T2D) clus...
Diabetes includes various heterogeneous factors. Similar to subtypes of type 1 diabetes, type 2 diab...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
[[abstract]]Heterogeneity in type 2 diabetes presentation, progression and treatment has the potenti...
Background: A novel data-driven classification of type 2 diabetes has been proposed to personalise a...