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1.
Ng, B.P.* et al.: Prevalence and medical expenditures of diabetes-related complications among adult medicaid enrollees with diabetes in eight U.S. states. J. Diab. Complic. 35:107814 (2021)
2.
Brings, S.* ; Fleming, T.* ; Herzig, S. ; Nawroth, P.P.* & Kopf, S.*: Urinary cathepsin L is predictive of changes in albuminuria and correlates with glucosepane in patients with type 2 diabetes in a closed-cohort study. J. Diab. Complic. 34:107648 (2020)
3.
Yang, W.* et al.: Estimating costs of diabetes complications in people <65 years in the U.S. using panel data. J. Diab. Complic. 34:107735 (2020)
4.
Wiedenmann, T.* et al.: Modulation of glutathione peroxidase activity by age-dependent carbonylation in glomeruli of diabetic mice. J. Diab. Complic. 32, 130-138 (2018)
5.
Mendler, M.* et al.: Reduction in ins-7 gene expression in non-neuronal cells of high glucose exposed Caenorhabditis elegans protects from reactive metabolites, preserves neuronal structure and head motility, and prolongs lifespan. J. Diab. Complic. 31, 304-310 (2017)
6.
Sulaj, A.* et al.: ALCAM a novel biomarker in patients with type 2 diabetes mellitus complicated with diabetic nephropathy. J. Diab. Complic. 31, 1058-1065 (2017)
7.
Bongaerts, B.W.* et al.: A clinical screening score for diabetic polyneuropathy: KORA F4 and AusDiab studies. J. Diab. Complic. 29, 44-49 (2015)
8.
Schunk, M. et al.: Health-related quality of life in women and men with type 2 diabetes: A comparison across treatment groups. J. Diab. Complic. 29, 203-211 (2015)
9.
Kowall, B.* et al.: Are diabetes risk scores useful for the prediction of cardiovascular diseases? Assessment of seven diabetes risk scores in the KORA S4/F4 cohort study. J. Diab. Complic. 27, 340-345 (2013)
10.
Hunger, M. ; Schunk, M. ; Meisinger, C. ; Peters, A. & Holle, R.: Estimation of the relationship between body mass index and EQ-5D health utilities in individuals with type 2 diabetes: Evidence from the population-based KORA studies. J. Diab. Complic. 26, 413-418 (2012)
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