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Data on the relation between renal biomarkers and measured glomerular filtration rate
The 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 ratio...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596330/ https://www.ncbi.nlm.nih.gov/pubmed/28932781 http://dx.doi.org/10.1016/j.dib.2017.08.034 |
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author | Pottel, Hans Dubourg, Laurence Schaeffner, Elke Eriksen, Bjørn Odvar Melsom, Toralf Lamb, Edmund J. Rule, Andrew D. Turner, Stephen T. Glassock, Richard J. De Souza, Vandréa Selistre, Luciano Goffin, Karolien Pauwels, Steven Mariat, Christophe Flamant, Martin Bevc, Sebastjan Delanaye, Pierre Ebert, Natalie |
author_facet | Pottel, Hans Dubourg, Laurence Schaeffner, Elke Eriksen, Bjørn Odvar Melsom, Toralf Lamb, Edmund J. Rule, Andrew D. Turner, Stephen T. Glassock, Richard J. De Souza, Vandréa Selistre, Luciano Goffin, Karolien Pauwels, Steven Mariat, Christophe Flamant, Martin Bevc, Sebastjan Delanaye, Pierre Ebert, Natalie |
author_sort | Pottel, Hans |
collection | PubMed |
description | The 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. |
format | Online Article Text |
id | pubmed-5596330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-55963302017-09-20 Data on the relation between renal biomarkers and measured glomerular filtration rate Pottel, Hans Dubourg, Laurence Schaeffner, Elke Eriksen, Bjørn Odvar Melsom, Toralf Lamb, Edmund J. Rule, Andrew D. Turner, Stephen T. Glassock, Richard J. De Souza, Vandréa Selistre, Luciano Goffin, Karolien Pauwels, Steven Mariat, Christophe Flamant, Martin Bevc, Sebastjan Delanaye, Pierre Ebert, Natalie Data Brief Proteomics and Biochemistry The 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. Elsevier 2017-09-01 /pmc/articles/PMC5596330/ /pubmed/28932781 http://dx.doi.org/10.1016/j.dib.2017.08.034 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Proteomics and Biochemistry Pottel, Hans Dubourg, Laurence Schaeffner, Elke Eriksen, Bjørn Odvar Melsom, Toralf Lamb, Edmund J. Rule, Andrew D. Turner, Stephen T. Glassock, Richard J. De Souza, Vandréa Selistre, Luciano Goffin, Karolien Pauwels, Steven Mariat, Christophe Flamant, Martin Bevc, Sebastjan Delanaye, Pierre Ebert, Natalie Data on the relation between renal biomarkers and measured glomerular filtration rate |
title | Data on the relation between renal biomarkers and measured glomerular filtration rate |
title_full | Data on the relation between renal biomarkers and measured glomerular filtration rate |
title_fullStr | Data on the relation between renal biomarkers and measured glomerular filtration rate |
title_full_unstemmed | Data on the relation between renal biomarkers and measured glomerular filtration rate |
title_short | Data on the relation between renal biomarkers and measured glomerular filtration rate |
title_sort | data on the relation between renal biomarkers and measured glomerular filtration rate |
topic | Proteomics and Biochemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596330/ https://www.ncbi.nlm.nih.gov/pubmed/28932781 http://dx.doi.org/10.1016/j.dib.2017.08.034 |
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