The impact of population-based identification of chronic kidney disease using estimated glomerular filtration rate (eGFR) reporting

N Richards; K Harris; M Whitfield; D O'Donoghue; [No Value] [No Value]; M Mansell; S Thomas; Jonathan Townend; M Eames; D Marcelli

doi:10.1093/ndt/gfm839

The impact of population-based identification of chronic kidney disease using estimated glomerular filtration rate (eGFR) reporting

N Richards, K Harris, M Whitfield, D O'Donoghue, [No Value] [No Value], M Mansell, S Thomas, Jonathan Townend, M Eames, D Marcelli

Birmingham Medical School

Research output: Contribution to journal › Article

51 Citations (Scopus)

Abstract

BACKGROUND: The object of this study was to determine the impact of estimated glomerular filtration rate (eGFR) reporting, as part of a disease management programme (DMP), and clarify the prevalence of chronic kidney disease (CKD) and the level of un-met need in a UK Primary Care Trust. METHODS: Our approach was to prospectively identify patients with an eGFR

Original language	English
Pages (from-to)	556-561
Number of pages	6
Journal	Nephrology, Dialysis, Transplantation
Volume	23
Issue number	2
Early online date	30 Oct 2007
DOIs	https://doi.org/10.1093/ndt/gfm839
Publication status	Published - 30 Oct 2007

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Richards, N., Harris, K., Whitfield, M., O'Donoghue, D., [No Value], N. V., Mansell, M., Thomas, S., Townend, J., Eames, M., & Marcelli, D. (2007). The impact of population-based identification of chronic kidney disease using estimated glomerular filtration rate (eGFR) reporting. Nephrology, Dialysis, Transplantation, 23(2), 556-561. https://doi.org/10.1093/ndt/gfm839

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abstract = "BACKGROUND: The object of this study was to determine the impact of estimated glomerular filtration rate (eGFR) reporting, as part of a disease management programme (DMP), and clarify the prevalence of chronic kidney disease (CKD) and the level of un-met need in a UK Primary Care Trust. METHODS: Our approach was to prospectively identify patients with an eGFR ",

author = "N Richards and K Harris and M Whitfield and D O'Donoghue and {[No Value]}, {[No Value]} and M Mansell and S Thomas and Jonathan Townend and M Eames and D Marcelli",

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Richards, N, Harris, K, Whitfield, M, O'Donoghue, D, [No Value], NV, Mansell, M, Thomas, S, Townend, J, Eames, M & Marcelli, D 2007, 'The impact of population-based identification of chronic kidney disease using estimated glomerular filtration rate (eGFR) reporting', Nephrology, Dialysis, Transplantation, vol. 23, no. 2, pp. 556-561. https://doi.org/10.1093/ndt/gfm839

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AU - Richards, N

AU - Harris, K

AU - Whitfield, M

AU - O'Donoghue, D

AU - [No Value], [No Value]

AU - Mansell, M

AU - Thomas, S

AU - Townend, Jonathan

AU - Eames, M

AU - Marcelli, D

PY - 2007/10/30

Y1 - 2007/10/30

N2 - BACKGROUND: The object of this study was to determine the impact of estimated glomerular filtration rate (eGFR) reporting, as part of a disease management programme (DMP), and clarify the prevalence of chronic kidney disease (CKD) and the level of un-met need in a UK Primary Care Trust. METHODS: Our approach was to prospectively identify patients with an eGFR

AB - BACKGROUND: The object of this study was to determine the impact of estimated glomerular filtration rate (eGFR) reporting, as part of a disease management programme (DMP), and clarify the prevalence of chronic kidney disease (CKD) and the level of un-met need in a UK Primary Care Trust. METHODS: Our approach was to prospectively identify patients with an eGFR

U2 - 10.1093/ndt/gfm839

DO - 10.1093/ndt/gfm839

M3 - Article

C2 - 18065790

SN - 1460-2385

VL - 23

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EP - 561

JO - Nephrology, Dialysis, Transplantation

JF - Nephrology, Dialysis, Transplantation

IS - 2

ER -

The impact of population-based identification of chronic kidney disease using estimated glomerular filtration rate (eGFR) reporting

Abstract

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