Prognostic imaging biomarkers for diabetic kidney disease (iBEAt): study protocol
Abstract Background Diabetic kidney disease (DKD) remains one of the leading causes of premature death in diabetes. DKD is classified on albuminuria and reduced kidney function (estimated glomerular filtration rate (eGFR)) but these have modest value for predicting future renal status. There is an u...
Main Authors: | Kim M. Gooding, Chrysta Lienczewski, Massimo Papale, Niina Koivuviita, Marlena Maziarz, Anna-Maria Dutius Andersson, Kanishka Sharma, Paola Pontrelli, Alberto Garcia Hernandez, Julie Bailey, Kay Tobin, Virva Saunavaara, Anna Zetterqvist, David Shelley, Irvin Teh, Claire Ball, Sapna Puppala, Mark Ibberson, Anil Karihaloo, Kaj Metsärinne, Rosamonde E. Banks, Peter S. Gilmour, Michael Mansfield, Mark Gilchrist, Dick de Zeeuw, Hiddo J. L. Heerspink, Pirjo Nuutila, Matthias Kretzler, Matthew Welberry Smith, Loreto Gesualdo, Dennis Andress, Nicolas Grenier, Angela C. Shore, Maria F. Gomez, Steven Sourbron, for the BEAt-DKD consortium |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-06-01
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Series: | BMC Nephrology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12882-020-01901-x |
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