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2/7/2015 9:38:00 AM | Browse: 1215 | Download: 1087
Publication Name World Journal of Nephrology
Manuscript ID 12971
Country Mexico
Received
2014-07-30 19:19
Peer-Review Started
2014-07-30 21:14
To Make the First Decision
2014-09-16 10:47
Return for Revision
2014-09-18 14:20
Revised
2014-10-21 08:17
Second Decision
2014-11-10 15:46
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2014-11-10 16:08
Articles in Press
2014-11-10 16:08
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2015-01-12 16:50
Publish the Manuscript Online
2015-02-07 09:38
ISSN 2220-6124 (online)
Open Access This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright © The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Urology & Nephrology
Manuscript Type Review
Article Title Biomarkers in chronic kidney disease, from kidney function to kidney damage
Manuscript Source Invited Manuscript
All Author List Salvador Lopez-Giacoman and Magdalena Madero
Funding Agency and Grant Number
Corresponding Author Magdalena Madero, MD, Division of Nephrology, National Heart Institute, Juan Badiano No. 1, Tlalpan, D.F., 14000 México City, México. madero.magdalena@gmail.com
Key Words Chronic kidney disease; Estimated glome­rular filtration rate; Kidney damage; New biomarkers; MicroRNA
Core Tip Until more accurate equations are developed the chronic kidney disease (CKD) epidemiology collaboration appears to be superior to other glomerular filtration rate (GFR) estimating equations. In circumstances where CKD requires confirmation estimated GFR based on the combined creatinine-cystatin C equation is recommended. The recent advances in molecular biology have resulted in promising biomarkers for CKD detection and prognosis; however more research is needed before applying them into clinical practice.
Publish Date 2015-02-07 09:38
Citation Lopez-Giacoman S, Madero M. Biomarkers in chronic kidney disease, from kidney function to kidney damage. World J Nephrol 2015; 4(1): 57-73
URL http://www.wjgnet.com/2220-6124/full/v4/i1/57.htm
DOI http://dx.doi.org/10.5527/wjn.v4.i1.57
Full Article (PDF) WJN-4-57.pdf
Full Article (Word) WJN-4-57.doc
Manuscript File 12971-Review.doc
Answering Reviewers 12971-Answering reviewers.pdf
Copyright License Agreement 12971-Copyright assignment.pdf
Peer-review Report 12971-Peer review(s).pdf
Scientific Misconduct Check 12971-CrossCheck.jpg
Scientific Editor Work List 12971-Scientific editor work list.pdf