Medicine

Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables.

E. Ahlqvist, P. Storm, Annemari Käräjämäki, M. Martinell, M. Dorkhan, A. Carlsson, P. Vikman, R. Prasad, D. M. Aly, P. Almgren, Ylva Wessman, N. Shaat, P. Spégel, H. Mulder, E. Lindholm, O. Melander, O. Hansson, U. Malmqvist, Å. Lernmark, K. Lahti, T. Forsén, T. Tuomi, A. Rosengren, L. Groop

2018.5.1Lancet Diabetes & Endocrinology

DOI: 10.1016/s2213-8587(18)30051-2

tlooto Summary

Five replicable clusters of patients with diabetes were identified, which had significantly different patient characteristics and risk of diabetic complications, which might eventually help to tailor and target early treatment to patients who would benefit most.

Abstract

Abstract is not available.

Citation format

AHLQVIST, E., et al. Novel subgroups of adult-onset diabetes and their association with outcomes: A data-driven cluster analysis of six variables. Lancet Diabetes & Endocrinology, 2018, 6 5: 361–369.