Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/32560
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dc.contributor.authorLamb, E. J.-
dc.contributor.authorBrettell, E. A.-
dc.contributor.authorCockwell, P.-
dc.contributor.authorDalton, N.-
dc.contributor.authorDeeks, J. J.-
dc.contributor.authorHarris, K.-
dc.contributor.authorHiggins, T.-
dc.contributor.authorKalra, P. A.-
dc.contributor.authorKhunti, Kamlesh-
dc.contributor.authorLoud, F.-
dc.contributor.authorOttridge, R. S.-
dc.contributor.authorSharpe, C. C.-
dc.contributor.authorSitch, A. J.-
dc.contributor.authorStevens, P. E.-
dc.contributor.authorSutton, A. J.-
dc.contributor.authorTaal, M. W.-
dc.contributor.authoreGFR-C study group-
dc.date.accessioned2015-07-10T09:04:56Z-
dc.date.available2015-07-10T09:04:56Z-
dc.date.issued2014-01-14-
dc.identifier.citationBMC Nephrology 2014, 15 : 13en
dc.identifier.urihttp://www.biomedcentral.com/1471-2369/15/13en
dc.identifier.urihttp://hdl.handle.net/2381/32560-
dc.description.abstractBACKGROUND: Uncertainty exists regarding the optimal method to estimate glomerular filtration rate (GFR) for disease detection and monitoring. Widely used GFR estimates have not been validated in British ethnic minority populations. METHODS/DESIGN: Iohexol measured GFR will be the reference against which each estimating equation will be compared. The estimating equations will be based upon serum creatinine and/or cystatin C. The eGFR-C study has 5 components: 1) A prospective longitudinal cohort study of 1300 adults with stage 3 chronic kidney disease followed for 3 years with reference (measured) GFR and test (estimated GFR [eGFR] and urinary albumin-to-creatinine ratio) measurements at baseline and 3 years. Test measurements will also be undertaken every 6 months. The study population will include a representative sample of South-Asians and African-Caribbeans. People with diabetes and proteinuria (ACR ≥30 mg/mmol) will comprise 20-30% of the study cohort.2) A sub-study of patterns of disease progression of 375 people (125 each of Caucasian, Asian and African-Caribbean origin; in each case containing subjects at high and low risk of renal progression). Additional reference GFR measurements will be undertaken after 1 and 2 years to enable a model of disease progression and error to be built.3) A biological variability study to establish reference change values for reference and test measures.4) A modelling study of the performance of monitoring strategies on detecting progression, utilising estimates of accuracy, patterns of disease progression and estimates of measurement error from studies 1), 2) and 3).5) A comprehensive cost database for each diagnostic approach will be developed to enable cost-effectiveness modelling of the optimal strategy.The performance of the estimating equations will be evaluated by assessing bias, precision and accuracy. Data will be modelled as a linear function of time utilising all available (maximum 7) time points compared with the difference between baseline and final reference values. The percentage of participants demonstrating large error with the respective estimating equations will be compared. Predictive value of GFR estimates and albumin-to-creatinine ratio will be compared amongst subjects that do or do not show progressive kidney function decline. DISCUSSION: The eGFR-C study will provide evidence to inform the optimal GFR estimate to be used in clinical practice. TRIAL REGISTRATION: ISRCTN42955626.en
dc.language.isoenen
dc.publisherBioMed Centralen
dc.relation.urihttp://www.ncbi.nlm.nih.gov/pubmed/24423077-
dc.rightsCopyright © 2014 Lamb et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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.en
dc.subjectAdolescenten
dc.subjectAdulten
dc.subjectAge Distributionen
dc.subjectAgeden
dc.subjectAlbuminuriaen
dc.subjectCausalityen
dc.subjectComorbidityen
dc.subjectCreatinineen
dc.subjectCystatin Cen
dc.subjectDisease Progressionen
dc.subjectFemaleen
dc.subjectGlomerular Filtration Rateen
dc.subjectGreat Britainen
dc.subjectHumansen
dc.subjectLongitudinal Studiesen
dc.subjectMaleen
dc.subjectMiddle Ageden
dc.subjectProspective Studiesen
dc.subjectRenal Insufficiency, Chronicen
dc.subjectReproducibility of Resultsen
dc.subjectResearch Designen
dc.subjectSensitivity and Specificityen
dc.subjectSex Distributionen
dc.subjectYoung Adulten
dc.titleThe eGFR-C study: accuracy of glomerular filtration rate (GFR) estimation using creatinine and cystatin C and albuminuria for monitoring disease progression in patients with stage 3 chronic kidney disease--prospective longitudinal study in a multiethnic populationen
dc.typeJournal Articleen
dc.identifier.doi10.1186/1471-2369-15-13-
dc.identifier.eissn1471-2369-
dc.identifier.pii1471-2369-15-13-
dc.description.statusPeer-revieweden
dc.description.versionPublisher Versionen
dc.type.subtypeJournal Article;Randomized Controlled Trial;Research Support, Non-U.S. Gov't-
pubs.organisational-group/Organisationen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGYen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicineen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Health Sciencesen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/Themesen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/Themes/Cardiovascularen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/Themes/Populationen
dc.dateaccepted2014-01-09-
Appears in Collections:Published Articles, Dept. of Health Sciences

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