This paper is in the following e-collection/theme issue:

Non-Randomized Study Protocols and Methods (Non-eHealth) (543) Diabetes (150)

Published on in Vol 9, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16277, first published .
Identification of Potential Biomarkers of Chronic Kidney Disease in Individuals with Diabetes: Protocol for a Cross-sectional Observational Study

Identification of Potential Biomarkers of Chronic Kidney Disease in Individuals with Diabetes: Protocol for a Cross-sectional Observational Study

Identification of Potential Biomarkers of Chronic Kidney Disease in Individuals with Diabetes: Protocol for a Cross-sectional Observational Study

Authors of this article:

Ashani R Lecamwasam1, 2, 3 Author Orcid Image ;   Mohammadreza Mohebbi4 Author Orcid Image ;   Elif I Ekinci2, 5 Author Orcid Image ;   Karen M Dwyer3 Author Orcid Image ;   Richard Saffery1, 6 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Ashani R Lecamwasam   1, 2, 3 , MBBS, FRACP ;   Mohammadreza Mohebbi   4 , PhD ;   Elif I Ekinci   2, 5 , MBBS, PhD, FRACP ;   Karen M Dwyer   3 , MBBS, PhD, FRACP ;   Richard Saffery   1, 6 , PhD

1 Epigenetics Research, Murdoch Children's Research Institute, Victoria, Australia

2 Department of Endocrinology, Austin Health, Victoria, Australia

3 School of Medicine, Faculty of Health, Deakin University, Victoria, Australia

4 Biostatistics Unit, Faculty of Health, Deakin University, Victoria, Australia

5 Department of Medicine, The University of Melbourne, Victoria, Australia

6 Department of Paediatrics, The University of Melbourne, Victoria, Australia

Corresponding Author: