代谢综合征
医学
肥胖
疾病
糖尿病
风险评估
环境卫生
内科学
重症监护医学
内分泌学
计算机科学
计算机安全
作者
Musa Saulawa Ibrahim,Dong Pang,Yannis Pappas,Gurch Randhawa
出处
期刊:Biomedical Journal of Scientific and Technical Research
[Biomedical Research Network, LLC]
日期:2020-02-28
卷期号:26 (1)
标识
DOI:10.26717/bjstr.2020.26.004307
摘要
Globally the prevalence of Metabolic Syndrome (MetS) is high and may reach a frightening level in the nearest future given the current trends of rising prevalence of hypertension and obesity. The presence of metabolic syndrome is linked with increased risk of cardiovascular disease, diabetes and all-cause mortality. Despite the recent proliferation of models and scores for assessing the risk of developing MetS, there is hardly any used in practical setting. Hence, we conducted a systematic review to determine the performance of risk models and scores for predicting metabolic syndrome.
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