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dc.contributor.authorPottel, Hans
dc.contributor.authorDubourg, Laurence
dc.contributor.authorSchaeffner, Elke
dc.contributor.authorEriksen, Bjørn Odvar
dc.contributor.authorMelsom, Toralf
dc.contributor.authorLamb, Edmund J.
dc.contributor.authorRule, Andrew D.
dc.contributor.authorTurner, Stephen T
dc.contributor.authorGlassock, Richard J.
dc.contributor.authorDe Souza, Vandrea
dc.contributor.authorSelistre, Luciano
dc.contributor.authorGoffin, Karolien
dc.contributor.authorPauwels, Steven
dc.contributor.authorMariat, Christophe
dc.contributor.authorFlamant, Martin
dc.contributor.authorBevc, Sebastjan
dc.contributor.authorDelanaye, Pierre
dc.contributor.authorEbert, Natalie
dc.date.accessioned2018-06-28T07:29:14Z
dc.date.available2018-06-28T07:29:14Z
dc.date.issued2017-10
dc.description.abstractThe data presented in this article are related to the research article entitled “The Diagnostic Value of Rescaled Renal Biomarkers Serum Creatinine and Serum Cystatin C and their Relation with Measured Glomerular Filtration Rate” (Pottel et al. (2017) [1]). Data are presented demonstrating the rationale for the normalization or rescaling of serum cystatin C, equivalent to the rescaling of serum creatinine. Rescaling biomarkers brings them to a notionally common scale with reference interval [0.67–1.33]. This article illustrates the correlation between rescaled biomarkers serum creatinine and serum cystatin C by plotting them in a 2-dimensional graph. The diagnostic value in terms of sensitivity and specificity with measured Glomerular Filtration Rate as the reference method is calculated per age-decade for both rescaled biomarkers. Finally, the interchangeability between detecting impaired kidney function from renal biomarkers and from the Full Age Spectrum FAS-estimating GFR-equation and measured GFR using a fixed and an age-dependent threshold is shown.en_US
dc.description.sponsorshipNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)en_US
dc.descriptionSource at <a href=https://doi.org/10.1016/j.dib.2017.08.034> https://doi.org/10.1016/j.dib.2017.08.034</a>. Accepted manuscript version, licensed <a href=http://creativecommons.org/licenses/by-nc-nd/4.0/> CC BY-NC-ND 4.0. </a>en_US
dc.identifier.citationPottel, H., Dubourg, L., Schaeffner, E., Eriksen, B.O., Melsom, T., Lamb, E.J., ... Ebert, N. (2017). Data on the relation between renal biomarkers and measured glomerular filtration rate. Data in Brief. 14, 763-772. https://doi.org/10.1016/j.dib.2017.08.034en_US
dc.identifier.cristinIDFRIDAID 1535561
dc.identifier.doi10.1016/j.dib.2017.08.034
dc.identifier.issn2352-3409
dc.identifier.urihttps://hdl.handle.net/10037/13034
dc.language.isoengen_US
dc.relation.journalData in Brief
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750en_US
dc.subjectVDP::Medical disciplines: 700::Clinical medical disciplines: 750en_US
dc.subjectSerum creatinineen_US
dc.subjectSerum cystatin Cen_US
dc.subjectMeasured glomerular filtration rateen_US
dc.titleData on the relation between renal biomarkers and measured glomerular filtration rateen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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