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CrossRef Text and Data Mining |
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Metabolic Syndrome Severity Score for Predicting Cardiovascular Events: A Nationwide Population-Based Study from Korea |
Yo Nam Jang, Jun Hyeok Lee, Jin Sil Moon, Dae Ryong Kang, Seong Yong Park, Jerim Cho, Jang-Young Kim, Ji Hye Huh |
Diabetes Metab J. 2021;45(4):569-577. Published online January 30, 2021 DOI: https://doi.org/10.4093/dmj.2020.0103 |
Metabolic Syndrome Severity Score for Predicting Cardiovascular Events: A Nationwide Population-Based Study from Korea The role of HDL cholesterol in metabolic syndrome predicting cardiovascular events. The Gubbio population study Metabolic syndrome and the risk of COVID-19 infection: A nationwide population-based case-control study Reconsidering the cut-off diastolic blood pressure for predicting cardiovascular events: a nationwide population-based study from Korea Assessing the added predictive ability of a metabolic syndrome severity score in predicting incident cardiovascular disease and type 2 diabetes: the Atherosclerosis Risk in Communities Study and Jackson Heart Study Triglyceride–Glucose Index Predicts Cardiovascular Outcome in Metabolically Unhealthy Obese Population: A Nationwide Population-Based Cohort Study To the editor regarding article “Coadministration of DPP-4 inhibitor and insulin therapy does not further reduce the risk of cardiovascular events compared with DPP-4 inhibitor therapy in diabetic foot patients: a nationwide population-based study” Cumulative burden of metabolic syndrome and its components on the risk of atrial fibrillation: a nationwide population-based study Metabolic Syndrome and Parkinson's Disease Incidence: A Nationwide Study Using Propensity Score Matching The relationship between metabolic syndrome and obstructive sleep apnea syndrome: a nationwide population-based study |