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Accurate diagnosis of diabetes mellitus and new paradigms of classification

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A 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… Click to show full abstract

A 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.

Keywords: classification; diagnosis diabetes; mellitus new; accurate diagnosis; diabetes mellitus

Journal Title: Nature Reviews Endocrinology
Year Published: 2018

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