Lamb, Edmund JBarratt, JonathanBrettell, Elizabeth ACockwell, PaulDalton, R NeiDeeks, Jon JEaglestone, GillianPellatt-Higgins, TracyKalra, Philip AKhunti, KamleshLoud, Fiona COttridge, Ryan SPotter, AislingRowe, CeriScandrett, KatieSitch, Alice JStevens, Paul ESharpe, Claire CShinkins, BethanySmith, AlisonSutton, Andrew JTaal, Maarten W2024-08-282024-08-282024-07-28Lamb EJ, Barratt J, Brettell EA, Cockwell P, Dalton RN, Deeks JJ, Eaglestone G, Pellatt-Higgins T, Kalra PA, Khunti K, Loud FC, Ottridge RS, Potter A, Rowe C, Scandrett K, Sitch AJ, Stevens PE, Sharpe CC, Shinkins B, Smith A, Sutton AJ, Taal MW. Accuracy of glomerular filtration rate estimation using creatinine and cystatin C for identifying and monitoring moderate chronic kidney disease: the eGFR-C study. Health Technol Assess. 2024 Jul;28(35):1-169. doi: 10.3310/HYHN1078. PMID: 39056437; PMCID: PMC11331378.2046-492410.3310/HYHN107839056437http://hdl.handle.net/20.500.14200/5522A longitudinal, prospective study was designed to: (1) assess accuracy of glomerular filtration rate equations at baseline (n = 1167) and their ability to detect change over 3 years (n = 875); (2) model disease progression predictors in 278 individuals who received additional measurements; (3) quantify glomerular filtration rate variability components (n = 20); and (4) develop a measurement model analysis to compare different monitoring strategy costs (n = 875).enUrologyNephrology/Renal medicineArticle