ORCID Profile
0000-0002-3059-2356
Current Organisation
SDU
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Publisher: Oxford University Press (OUP)
Date: 23-07-2012
DOI: 10.1093/IJE/DYS086
Publisher: Oxford University Press (OUP)
Date: 03-05-2010
DOI: 10.1093/IJE/DYQ063
Publisher: Oxford University Press (OUP)
Date: 22-11-2018
Publisher: American Medical Association (AMA)
Date: 11-11-2009
Publisher: Springer Science and Business Media LLC
Date: 18-09-2007
DOI: 10.1007/S10654-007-9165-7
Abstract: Many long-term prospective studies have reported on associations of cardiovascular diseases with circulating lipid markers and/or inflammatory markers. Studies have not, however, generally been designed to provide reliable estimates under different circumstances and to correct for within-person variability. The Emerging Risk Factors Collaboration has established a central database on over 1.1 million participants from 104 prospective population-based studies, in which subsets have information on lipid and inflammatory markers, other characteristics, as well as major cardiovascular morbidity and cause-specific mortality. Information on repeat measurements on relevant characteristics has been collected in approximately 340,000 participants to enable estimation of and correction for within-person variability. Re-analysis of in idual data will yield up to approximately 69,000 incident fatal or nonfatal first ever major cardiovascular outcomes recorded during about 11.7 million person years at risk. The primary analyses will involve age-specific regression models in people without known baseline cardiovascular disease in relation to fatal or nonfatal first ever coronary heart disease outcomes. This initiative will characterize more precisely and in greater detail than has previously been possible the shape and strength of the age- and sex-specific associations of several lipid and inflammatory markers with incident coronary heart disease outcomes (and, secondarily, with other incident cardiovascular outcomes) under a wide range of circumstances. It will, therefore, help to determine to what extent such associations are independent from possible confounding factors and to what extent such markers (separately and in combination) provide incremental predictive value.
Publisher: Massachusetts Medical Society
Date: 04-10-2012
Publisher: Oxford University Press (OUP)
Date: 22-12-2013
DOI: 10.1093/AJE/KWT298
Publisher: IEEE
Date: 2005
Publisher: Elsevier BV
Date: 06-2010
Publisher: Wiley
Date: 09-09-2011
DOI: 10.1002/SIM.4362
Publisher: Massachusetts Medical Society
Date: 03-03-2011
Publisher: American Medical Association (AMA)
Date: 22-07-2009
Publisher: Public Library of Science (PLoS)
Date: 30-07-2013
Publisher: Elsevier BV
Date: 2010
No related grants have been discovered for Jørgen Jespersen.