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Open Access Highly Accessed Research article

Predicting the prevalence of chronic kidney disease in the English population: a cross-sectional study

Benjamin Kearns1*, Hugh Gallagher2 and Simon de Lusignan3

Author Affiliations

1 School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK

2 Division of Public Health Sciences and Education, St George’s-University of London, London, SW17 0RE, UK

3 Department of Health Care Management and Policy, University of Surrey, Guildford, GU2 7XH, UK

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BMC Nephrology 2013, 14:49  doi:10.1186/1471-2369-14-49

Published: 25 February 2013

Additional files

Additional file 1:

Summary statistics for the total sample, and for subjects with chronic kidney disease (CKD), broken-down by identified and unidentified CKD.

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Additional file 2:

Full main-effects and ‘clinical’ multivariable logistic regression models for subjects with identified Chronic Kidney Disease.

Format: DOC Size: 119KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data