Dietary Information Improves Cardiovascular Disease Risk Prediction Models

European Journal of Clinical Nutrition - United Kingdom
doi 10.1038/ejcn.2012.175
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Combining Information From Common Type 2 Diabetes Risk Polymorphisms Improves Disease Prediction

PLoS Medicine
BiochemistryBiotechnologyMolecular BiologyCell BiologyMedicine
2006English

High-Sensitivity Troponin Assay Improves Prediction of Cardiovascular Risk in Patients With Cerebral Ischaemia

Journal of Neurology, Neurosurgery and Psychiatry
PsychiatryMental HealthNeurologySurgery
2013English

Inclusion of Dietary Assessment in Cardiovascular Disease Risk Estimation Models Increases the Accuracy of Estimations and Reduces Classification Bias

Clinical Nutrition ESPEN
EndocrinologyNutritionMetabolismDieteticsDiabetes
2016English

Multivariable Risk Prediction Models

Anesthesiology
AnesthesiologyPain Medicine
2013English

Dietary Carbohydrates and Cardiovascular Disease Risk Factors in the Framingham Offspring Cohort

Journal of the American College of Nutrition
MedicineNutritionDietetics
2009English

QRISK3 Improves Detection of Cardiovascular Disease Risk in Patients With Systemic Lupus Erythematosus

Lupus Science and Medicine
MedicineImmunology
2018English

Discounting Risk Prediction Models

Anaesthesia
AnesthesiologyPain Medicine
2019English

Supplemental Information 1: Differences Between 3 CVD Risk Prediction Models.

English

Cardiovascular Risk Prediction Models With Myocardial Perfusion Imaging in Chronic Kidney Disease: ACCESSing Digits or Focusing on the Patient?

Journal of Nuclear Cardiology
Nuclear MedicineRadiologyCardiovascular MedicineImagingCardiology
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy