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Journal article

An external validation of models to predict the onset of chronic kidney disease using population-based electronic health records from Salford, UK.

Abstract:

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 targeting of care resources. Risk prediction models can extend laboratory-based CKD screening to earlier stages of disease; however, to date, only a few of them have been externally validated or directly ...

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Publication status:
Published online

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Publisher copy:
10.1186/s12916-016-0650-2

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Grant:
MR/K006665/1; MC_PC_13042
Publisher:
BioMed Central Publisher's website
Journal:
BMC Medicine Journal website
Volume:
14
Pages:
104
Publication date:
2016-07-12
Acceptance date:
2016-06-27
DOI:
EISSN:
1741-7015
ISSN:
1741-7015
Pubs id:
pubs:634344
URN:
uri:e28cfcb2-d853-449e-9dbb-e38eacf6269c
UUID:
uuid:e28cfcb2-d853-449e-9dbb-e38eacf6269c
Local pid:
pubs:634344

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