Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2003-6-17
pubmed:abstractText
To examine whether nuclear magnetic resonance lipoprotein spectroscopy improves the prediction of coronary artery disease in patients with Type 1 diabetes, independently of conventional lipid and other risk factors.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0012-186X
pubmed:author
pubmed:issnType
Print
pubmed:volume
46
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
674-82
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed-meshheading:12743701-Adult, pubmed-meshheading:12743701-Age of Onset, pubmed-meshheading:12743701-Analysis of Variance, pubmed-meshheading:12743701-Blood Pressure, pubmed-meshheading:12743701-Cholesterol, HDL, pubmed-meshheading:12743701-Cholesterol, LDL, pubmed-meshheading:12743701-Coronary Disease, pubmed-meshheading:12743701-Diabetes Mellitus, Type 1, pubmed-meshheading:12743701-Diabetic Angiopathies, pubmed-meshheading:12743701-Diabetic Nephropathies, pubmed-meshheading:12743701-Humans, pubmed-meshheading:12743701-Lipoproteins, pubmed-meshheading:12743701-Lipoproteins, HDL, pubmed-meshheading:12743701-Lipoproteins, LDL, pubmed-meshheading:12743701-Lipoproteins, VLDL, pubmed-meshheading:12743701-Magnetic Resonance Spectroscopy, pubmed-meshheading:12743701-Predictive Value of Tests, pubmed-meshheading:12743701-Registries, pubmed-meshheading:12743701-Risk Factors, pubmed-meshheading:12743701-Triglycerides
pubmed:year
2003
pubmed:articleTitle
Lipoprotein subclass measurements by nuclear magnetic resonance spectroscopy improve the prediction of coronary artery disease in Type 1 diabetes. A prospective report from the Pittsburgh Epidemiology of Diabetes Complications Study.
pubmed:affiliation
Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.