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- W3114366410 abstract "Background and Aims: In the era of personalized medicine, it is of utmost importance to be able to identify subjects at highest cardiovascular risk. To date, single biomarkers have failed to markedly improve estimation of cardiovascular risk. Using novel technology, simultaneous assessment of large numbers of biomarkers may hold promise to improve prediction. In this study, we compared a protein-based risk model with a model using traditional risk factors in predicting CV-events in the primary prevention setting of the EPIC-Norfolk study, followed by validation in the PLIC cohort." @default.
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- W3114366410 date "2020-12-01" @default.
- W3114366410 modified "2023-09-29" @default.
- W3114366410 title "Improved cardiovascular risk prediction using plasma proteomics in primary prevention" @default.
- W3114366410 doi "https://doi.org/10.1016/j.atherosclerosis.2020.10.094" @default.
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