TY - JOUR
KW - Cardiovascular disease
KW - Electronic Health Records
KW - repeated measurements
KW - Risk prediction
KW - Type 2 diabetes
KW - variability
AU - Z. Xu
AU - M. Arnold
AU - L. Sun
AU - D. Stevens
AU - R. Chung
AU - S. Ip
AU - J. Barrett
AU - S. Kaptoge
AU - L. Pennells
AU - E. Di Angelantonio
AU - A. Wood
AD - British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Medical Research Council Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK.
National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK.
British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK.
Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK.
The Alan Turing Institute, London, UK.
AN - 35776101
BT - Int J Epidemiol
DO - 10.1093/ije/dyac140
DP - NLM
ET - 2022/07/02
LA - eng
N1 - 1464-3685
Xu, Zhe
Orcid: 0000-0003-1519-6707
Arnold, Matthew
Sun, Luanluan
Stevens, David
Chung, Ryan
Ip, Samantha
Barrett, Jessica
Kaptoge, Stephen
Orcid: 0000-0002-1155-4872
Pennells, Lisa
Orcid: 0000-0002-8594-3061
Di Angelantonio, Emanuele
Orcid: 0000-0001-8776-6719
Wood, Angela M
Orcid: 0000-0002-7937-304x
RG/18/13/33946/BHF_/British Heart Foundation/United Kingdom
MR/L003120/1/UK Medical Research Council/
RG/13/13/30194/BHF_/British Heart Foundation/United Kingdom
Journal Article
England
Int J Epidemiol. 2022 Jul 1:dyac140. doi: 10.1093/ije/dyac140.
PY - 2022
SN - 0300-5771
T2 - Int J Epidemiol
TI - Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records
ER -