慢性肾病及其进展预测风险模型:一项系统评价

Risk Models to Predict Chronic Kidney Disease and Its Progression: A Systematic Review
作者:Justin B. Echouffo-Tcheugui
期刊: PLOS MED2012年11月11期2012卷

Abstract Top

Background

Chronic kidney disease (CKD) is common, and associated with increased risk of cardiovascular disease and end-stage renal disease, which are potentially preventable through early identification and treatment of individuals at risk. Although risk factors for occurrence and progression of CKD have been identified, their utility for CKD risk stratification through prediction models remains unclear. We critically assessed risk models to predict CKD and its progression, and evaluated their suitability for clinical use.

Methods and Findings

We systematically searched MEDLINE and Embase (1 January 1980 to 20 June 2012). Dual review was conducted to identify studies that reported


学科代码:肾脏病学   关键词:none
来源: PLoS Medicine
顶一下(0
您可能感兴趣的文章
    发表评论网友评论(0)
      发表评论
      登录后方可发表评论,点击此处登录