Comparison of bias and accuracy using cystatin C and creatinine in CKD-EPI equations for GFR estimation.

Chronic kidney disease epidemiology collaboration (CKD-EPI) creatinine cystatin C glomerular filtration rate (GFR) meta-analysis

Journal

European journal of internal medicine
ISSN: 1879-0828
Titre abrégé: Eur J Intern Med
Pays: Netherlands
ID NLM: 9003220

Informations de publication

Date de publication:
10 2020
Historique:
received: 10 01 2020
revised: 14 04 2020
accepted: 20 04 2020
pubmed: 12 6 2020
medline: 16 2 2021
entrez: 12 6 2020
Statut: ppublish

Résumé

The directly measured glomerular filtrate rate (mGFR) is the gold standard for kidney function, but it is invasive and costly. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations have been widely used to estimate GFR, however, the comparative accuracy of estimated GFR (eGFR) using creatinine and cystatin C in CKD-EPI equations remains unclear. We performed this meta-analysis to assess the bias and accuracy of eGFR using equations of CKD-EPI Pubmed, Web of Science, EMBASE, and the Cochrane Library were searched from inception until December 2019 for related studies. A total of 35 studies with 23,667 participants, which reported the data on the bias, and/or P30, and/or R were included. The difference in the bias of eGFR using CKD-EPI CKD-EPI

Sections du résumé

BACKGROUND
The directly measured glomerular filtrate rate (mGFR) is the gold standard for kidney function, but it is invasive and costly. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations have been widely used to estimate GFR, however, the comparative accuracy of estimated GFR (eGFR) using creatinine and cystatin C in CKD-EPI equations remains unclear. We performed this meta-analysis to assess the bias and accuracy of eGFR using equations of CKD-EPI
METHODS
Pubmed, Web of Science, EMBASE, and the Cochrane Library were searched from inception until December 2019 for related studies.
RESULTS
A total of 35 studies with 23,667 participants, which reported the data on the bias, and/or P30, and/or R were included. The difference in the bias of eGFR using CKD-EPI
CONCLUSIONS
CKD-EPI

Identifiants

pubmed: 32522444
pii: S0953-6205(20)30164-3
doi: 10.1016/j.ejim.2020.04.044
pii:
doi:

Substances chimiques

Cystatin C 0
Creatinine AYI8EX34EU

Types de publication

Journal Article Meta-Analysis Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

29-34

Subventions

Organisme : NCRR NIH HHS
ID : UL1 RR033176
Pays : United States
Organisme : NIMHD NIH HHS
ID : U54 MD008149
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001881
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have declared no conflict of interest

Auteurs

Lu-Xi Zou (LX)

Xuzhou Medical University, Xuzhou, Jiangsu, China.

Ling Sun (L)

Division of Nephrology, Xuzhou Central Hospital, Medical College of Southeast University, Xuzhou, Jiangsu, China; Department of Clinical Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China. Electronic address: slpku@163.com.

Susanne B Nicholas (SB)

Divisions of Nephrology and Endocrinology, Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, CA, USA. Electronic address: sunicholas@mednet.ucla.edu.

Yan Lu (Y)

Department of Clinical Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China.

Satyesh Sinha K (SS)

Division of Nephrology, Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, CA, USA.

Ruixue Hua (R)

Department of Clinical Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China.

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Classifications MeSH