Epidemiology of AKI: Utilizing Large Databases to Determine the Burden of AKI. (2017)

First Author: Sawhney S
Attributed to:  UK Health Informatics Research Network funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1053/j.ackd.2017.05.001

PubMed Identifier: 28778358

Publication URI: http://europepmc.org/abstract/MED/28778358

Type: Journal Article/Review

Volume: 24

Parent Publication: Advances in chronic kidney disease

Issue: 4

ISSN: 1548-5595