An external validation of models to predict the onset of chronic kidney disease using population-based electronic health records from Salford, UK.
Chronic kidney disease (CKD) is a major and increasing constituent of disease burdens worldwide. Early identification of patients at increased risk of developing CKD can guide interventions to slow disease progression, initiate timely referral to appropriate kidney care services, and support targeti...
Main Authors: | Fraccaro, P, van der Veer, S, Brown, B, Prosperi, M, O'Donoghue, D, Collins, G, Buchan, I, Peek, N |
---|---|
Format: | Journal article |
Language: | English |
Published: |
BioMed Central
2016
|
Similar Items
-
Salford to Saltburn: NFI
by: Baldwin, Jon
Published: (2024) -
The Haunting of L.S. Lowry: Class, Mass Spectatorship and the Image at The Lowry, Salford, UK
by: Zoë Thompson
Published: (2013-10-01) -
Digital health: A university led strategic approach to transform healthcare in Salford, UK
by: Shahid Ali
Published: (2014-11-01) -
Digital health: A university led strategic approach to transform healthcare in Salford, UK
by: Shahid Ali
Published: (2014-11-01) -
Impact of prior stroke on major clinical outcome in chronic kidney disease: the Salford kidney cohort study
by: James Tollitt, et al.
Published: (2019-11-01)