A model to predict disease progression in patients with autosomal dominant polycystic kidney disease (ADPKD): the ADPKD Outcomes Model

McEwan, P., Wilton, H.B., Ong, A.C.M. et al. (7 more authors) (2018) A model to predict disease progression in patients with autosomal dominant polycystic kidney disease (ADPKD): the ADPKD Outcomes Model. BMC Nephrology, 19. 37.

Abstract

Metadata

Authors/Creators:
  • McEwan, P.
  • Wilton, H.B.
  • Ong, A.C.M.
  • Orskov, B.
  • Sandford, R.
  • Scolari, F.
  • Cabrera, M.-C.V.
  • Walz, G.
  • O'Reilly, K.
  • Robinson, P.
Copyright, Publisher and Additional Information: © The Author(s). 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
Keywords: Disease modelling; End-stage renal disease; ESRD; Kidney volume; Renal progression; Renal function decline
Dates:
  • Published: 13 February 2018
  • Accepted: 18 December 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Cardiovascular Science (Sheffield)
The University of Sheffield > Sheffield Teaching Hospitals
Depositing User: Symplectic Sheffield
Date Deposited: 20 Mar 2018 12:00
Last Modified: 20 Mar 2018 12:00
Published Version: https://doi.org/10.1186/s12882-017-0804-2
Status: Published
Publisher: BioMed Central
Refereed: Yes
Identification Number: https://doi.org/10.1186/s12882-017-0804-2
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