A Novel Metabolic Signature To Predict the Requirement of Dialysis or Renal Transplantation in Patients with Chronic Kidney Disease
Article
Zacharias, Helena, Altenbuchinger, Michael, Schultheiss, U. T., Samol, Claudia, Kotsis, F., Poguntke, I., Sekula, P.
, Krumsiek, J., Köttgen, Anna, Spang, Rainer, Oefner, Peter J. and Gronwald, Wolfram
(2019)
A Novel Metabolic Signature To Predict the Requirement of Dialysis or Renal Transplantation in Patients with Chronic Kidney Disease.
Journal of Proteome Research.
Involved Institutions
Details
| Item type | Article | ||||||
| Journal or Publication Title | Journal of Proteome Research | ||||||
| Publisher | AMER CHEMICAL SOC | ||||||
| Place of Publication | WASHINGTON | ||||||
| Date | 12 March 2019 | ||||||
| Date of publication | 25 Mar 2019 09:48 | ||||||
| Institutions | Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Funktionelle Genomik (Prof. Oefner) Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) Informatics and Data Science > Department Computational Life Science > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) | ||||||
| Identification Number |
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| Keywords | RISK-FACTORS; PROGRESSION; FAILURE; MODEL; CKD; IDENTIFICATION; INSUFFICIENCY; SPECTROSCOPY; ASSOCIATION; BIOMARKERS; kidney failure risk equation; metabolomics; chronic kidney disease | ||||||
| Dewey Decimal Classification | 600 Technology > 610 Medical sciences Medicine | ||||||
| Status | Published | ||||||
| Refereed | Yes, this version has been refereed | ||||||
| Created at the University of Regensburg | Partially | ||||||
| Item ID | 39785 |
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