High chronic nephropathy detection yield in CKD subjects identified by the combination of albuminuria and estimated GFR

Giovanni Gambaro; Luciana Bonfante; Cataldo Abaterusso; Alessandro Gemelli; Pietro Manuel Ferraro; Silvio Marchesini; Giorgio De Conti; Angela D'Angelo; Antonio Lupo

doi:10.1093/ndt/gfr360

High chronic nephropathy detection yield in CKD subjects identified by the combination of albuminuria and estimated GFR

Giovanni Gambaro, Luciana Bonfante, Cataldo Abaterusso, Alessandro Gemelli, Pietro Manuel Ferraro, Silvio Marchesini, Giorgio De Conti, Angela D'Angelo, Antonio Lupo

Risultato della ricerca: Contributo in rivista › Articolo in rivista › peer review

3 Citazioni (Scopus)

Abstract

Epidemiological studies have shown that the burden of chronic kidney disease (CKD) is huge. CKD is a non-specific diagnosis, however, and it is hard to say which renal disorders comprise the body of CKD diagnosed on the strength of the combination of albuminuria and estimated glomerular filtration rate (eGFR) in epidemiological studies, or just how efficient such studies are in detecting chronic nephropathies.

Lingua originale	English
pagine (da-a)	746-751
Numero di pagine	6
Rivista	Nephrology Dialysis Transplantation
Volume	27
DOI	https://doi.org/10.1093/ndt/gfr360
Stato di pubblicazione	Pubblicato - 2012

Keywords

CKD

Accesso al documento

10.1093/ndt/gfr360

Altri file e collegamenti

Link a IRIS PubliCatt

Cita questo

@article{4eece02341374716b10975055234ec3d,

title = "High chronic nephropathy detection yield in CKD subjects identified by the combination of albuminuria and estimated GFR",

abstract = "Epidemiological studies have shown that the burden of chronic kidney disease (CKD) is huge. CKD is a non-specific diagnosis, however, and it is hard to say which renal disorders comprise the body of CKD diagnosed on the strength of the combination of albuminuria and estimated glomerular filtration rate (eGFR) in epidemiological studies, or just how efficient such studies are in detecting chronic nephropathies.",

keywords = "CKD, CKD",

author = "Giovanni Gambaro and Luciana Bonfante and Cataldo Abaterusso and Alessandro Gemelli and Ferraro, {Pietro Manuel} and Silvio Marchesini and {De Conti}, Giorgio and Angela D'Angelo and Antonio Lupo",

year = "2012",

doi = "10.1093/ndt/gfr360",

language = "English",

volume = "27",

pages = "746--751",

journal = "Nephrology Dialysis Transplantation",

issn = "1460-2385",

publisher = "Oxford University Press",

}

TY - JOUR

T1 - High chronic nephropathy detection yield in CKD subjects identified by the combination of albuminuria and estimated GFR

AU - Gambaro, Giovanni

AU - Bonfante, Luciana

AU - Abaterusso, Cataldo

AU - Gemelli, Alessandro

AU - Ferraro, Pietro Manuel

AU - Marchesini, Silvio

AU - De Conti, Giorgio

AU - D'Angelo, Angela

AU - Lupo, Antonio

PY - 2012

Y1 - 2012

N2 - Epidemiological studies have shown that the burden of chronic kidney disease (CKD) is huge. CKD is a non-specific diagnosis, however, and it is hard to say which renal disorders comprise the body of CKD diagnosed on the strength of the combination of albuminuria and estimated glomerular filtration rate (eGFR) in epidemiological studies, or just how efficient such studies are in detecting chronic nephropathies.

AB - Epidemiological studies have shown that the burden of chronic kidney disease (CKD) is huge. CKD is a non-specific diagnosis, however, and it is hard to say which renal disorders comprise the body of CKD diagnosed on the strength of the combination of albuminuria and estimated glomerular filtration rate (eGFR) in epidemiological studies, or just how efficient such studies are in detecting chronic nephropathies.

KW - CKD

UR - http://hdl.handle.net/10807/6228

U2 - 10.1093/ndt/gfr360

DO - 10.1093/ndt/gfr360

M3 - Article

SN - 1460-2385

VL - 27

SP - 746

EP - 751

JO - Nephrology Dialysis Transplantation

JF - Nephrology Dialysis Transplantation

ER -

High chronic nephropathy detection yield in CKD subjects identified by the combination of albuminuria and estimated GFR

Abstract

Keywords

Accesso al documento

Altri file e collegamenti

Fingerprint

Cita questo