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. 2018 Feb 13;19:37. doi: 10.1186/s12882-017-0804-2

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© The Author(s). 2018

Open AccessThis 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.

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Fig. 2 — Validation of the TEMPO 3:4 disease progression equations implemented within the ADPKD Outcomes Model. Trajectories of eGFR progression were consistent with predictions derived from equations fitted to CRISP I data (panel a), while model-predicted eGFR progression was consistent with observed data from HALT-PKD Study A (panel b), HALT-PKD Study B (panel c), and THIN database (panel d). Shaded regions depict 95% prediction intervals; error bars depict 95% confidence intervals. ADPKD-OM: autosomal dominant polycystic kidney disease Outcomes Model; CRISP: Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease study; eGFR: estimated glomerular filtration rate; ESRD: end-stage renal disease; HALT-PKD: Halt Progression of Polycystic Kidney Disease trials; THIN: The Health Improvement Network; TKV: total kidney volume