Prognostic imaging biomarkers for diabetic kidney disease (iBEAt): study protocol

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Gooding, K.M., Lienczewski, C., Papale, M. et al. (32 more authors) (2020) Prognostic imaging biomarkers for diabetic kidney disease (iBEAt): study protocol. BMC Nephrology, 21 (1). ARTN 242. ISSN 1471-2369

Abstract

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Item Type: Article
Authors/Creators:
  • Gooding, K.M.
  • Lienczewski, C.
  • Papale, M.
  • Koivuviita, N.
  • Maziarz, M.
  • Dutius Andersson, A.-M.
  • Sharma, K.
  • Pontrelli, P.
  • Garcia Hernandez, A.
  • Bailey, J.
  • Tobin, K.
  • Saunavaara, V.
  • Zetterqvist, A.
  • Shelley, D.
  • Teh, I. ORCID logo https://orcid.org/0000-0002-6705-3129
  • Ball, C.
  • Puppala, S.
  • Ibberson, M.
  • Karihaloo, A.
  • Metsärinne, K.
  • Banks, R.E. ORCID logo https://orcid.org/0000-0002-0042-8715
  • Gilmour, P.S.
  • Mansfield, M.
  • Gilchrist, M.
  • de Zeeuw, D.
  • Heerspink, H.J.L.
  • Nuutila, P.
  • Kretzler, M.
  • Welberry Smith, M.
  • Gesualdo, L.
  • Andress, D.
  • Grenier, N.
  • Shore, A.C.
  • Gomez, M.F.
  • Sourbron, S.
Copyright, Publisher and Additional Information:

© The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Keywords: Diabetic kidney disease, Type 2 diabetes, Magnetic resonance imaging, Ultrasound, Albuminuria, Chronic kidney disease stages 1–3, Prospective cohort, Renal decline, Biomarkers, Progression
Dates:
  • Published: June 2020
  • Published (online): 29 June 2020
  • Accepted: 19 June 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Oncology
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Biomedical Imaging Science Dept (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 03 Sep 2024 09:16
Last Modified: 03 Sep 2024 09:52
Published Version: http://dx.doi.org/10.1186/s12882-020-01901-x
Status: Published
Publisher: Springer Nature
Identification Number: 10.1186/s12882-020-01901-x
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
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