Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort.
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Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reportingTowards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson's, Huntington's, Alzheimer's, prions, bactericides, chemical toxicology and others as examplesTreatment of prediabetesType 2 diabetes can be prevented with early pharmacological interventionComparison of accuracy of diabetes risk score and components of the metabolic syndrome in assessing risk of incident type 2 diabetes in Inter99 cohortThirty-one novel biomarkers as predictors for clinically incident diabetesToward Big Data Analytics: Review of Predictive Models in Management of Diabetes and Its ComplicationsBeta-cell age calculator, a translational yardstick to communicate diabetes risk with patients: tehran lipid and glucose study.A1C level and future risk of diabetes: a systematic reviewImmunological and cardiometabolic risk factors in the prediction of type 2 diabetes and coronary events: MONICA/KORA Augsburg case-cohort study.Association between protein signals and type 2 diabetes incidencePlasma heme oxygenase-1 concentration in relation to impaired glucose regulation in a non-diabetic Chinese population.Reduction of specific circulating lymphocyte populations with metabolic risk factors in patients at risk to develop type 2 diabetesCombined use of serum adiponectin and tumor necrosis factor-alpha receptor 2 levels was comparable to 2-hour post-load glucose in diabetes prediction.Body iron stores and heme-iron intake in relation to risk of type 2 diabetes: a systematic review and meta-analysis.Understanding the economic value of molecular diagnostic tests: case studies and lessons learned.Development of a multi-biomarker disease activity test for rheumatoid arthritisBiomarkers in fasting serum to estimate glucose tolerance, insulin sensitivity, and insulin secretionPredictive performance of the visceral adiposity index for a visceral adiposity-related risk: type 2 diabetes.Risk assessment tools for identifying individuals at risk of developing type 2 diabetes.Poorly controlled type 2 diabetes is accompanied by significant morphological and ultrastructural changes in both erythrocytes and in thrombin-generated fibrin: implications for diagnosticsJoint analysis of multiple biomarkers for identifying type 2 diabetes in middle-aged and older Chinese: a cross-sectional studyProteomic analysis of endoscopically (endoscopic pancreatic function test) collected gastroduodenal fluid using in-gel tryptic digestion followed by LC-MS/MS.Nutrigenomics and personalized diets: What will they mean for food?Emerging applications of metabolomic and genomic profiling in diabetic clinical medicine.Risk models and scores for type 2 diabetes: systematic reviewBiomarker models as surrogates for the disposition index in the Insulin Resistance Atherosclerosis StudyLiterature-based discovery of salivary biomarkers for type 2 diabetes mellitus.Adipocytokines, C-reactive protein, and cardiovascular disease: a population-based prospective study.The multi-systemic nature of diabetes mellitus: Genotype or phenotype?The renal protective effect of angiotensin receptor blockers depends on intra-individual response variation in multiple risk markersMicrovesicles/exosomes as potential novel biomarkers of metabolic diseasesFuture detection and monitoring of diabetes may entail analysis of both β-cell function and volume: how markers of β-cell loss may assist.SLE-key(®) rule-out serologic test for excluding the diagnosis of systemic lupus erythematosus: Developing the ImmunArray iCHIP(®).Antioxidation of Cerium Oxide Nanoparticles to Several Series of Oxidative Damage Related to Type II Diabetes Mellitus In VitroValidation of a multimarker model for assessing risk of type 2 diabetes from a five-year prospective study of 6784 Danish people (Inter99).Biomarkers for the prediction of type 2 diabetes and cardiovascular disease.Microfluidic strategies applied to biomarker discovery and validation for multivariate diagnostics.Obesity and type 2 diabetes: which patients are at risk?'Omics'-driven discoveries in prevention and treatment of type 2 diabetes.
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P2860
Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort.
description
article científic
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article scientifique
@fr
articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on July 2009
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Development of a type 2 diabet ...... rkers from the Inter99 cohort.
@en
Development of a type 2 diabet ...... rkers from the Inter99 cohort.
@nl
type
label
Development of a type 2 diabet ...... rkers from the Inter99 cohort.
@en
Development of a type 2 diabet ...... rkers from the Inter99 cohort.
@nl
prefLabel
Development of a type 2 diabet ...... rkers from the Inter99 cohort.
@en
Development of a type 2 diabet ...... rkers from the Inter99 cohort.
@nl
P2093
P2860
P356
P1433
P1476
Development of a type 2 diabet ...... rkers from the Inter99 cohort.
@en
P2093
Edward Moler
Janice A Kolberg
Knut Borch-Johnsen
Michael P McKenna
Michael W Rowe
Mickey S Urdea
Robert W Gerwien
Sarah Hamren
Torben Hansen
Xiaomei M Xu
P2860
P304
P356
10.2337/DC08-1935
P407
P577
2009-07-01T00:00:00Z