Establishment and Validation of a Risk Prediction Model for Early Diabetic Kidney Disease Based on a Systematic Review and Meta-Analysis of 20 Cohorts

Identifying patients at high risk of diabetic kidney disease (DKD) helps improve clinical outcome. To establish a model for predicting DKD. The derivation cohort was from a meta-analysis. The validation cohort was from a Chinese cohort. Cohort studies that reported risk factors of DKD with their cor...

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Veröffentlicht in:Diabetes care 2020-04, Vol.43 (4), p.925-933
Hauptverfasser: Jiang, Wenhui, Wang, Jingyu, Shen, Xiaofang, Lu, Wenli, Wang, Yuan, Li, Wen, Gao, Zhongai, Xu, Jie, Li, Xiaochen, Liu, Ran, Zheng, Miaoyan, Chang, Bai, Li, Jing, Yang, Juhong, Chang, Baocheng
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Sprache:eng
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Zusammenfassung:Identifying patients at high risk of diabetic kidney disease (DKD) helps improve clinical outcome. To establish a model for predicting DKD. The derivation cohort was from a meta-analysis. The validation cohort was from a Chinese cohort. Cohort studies that reported risk factors of DKD with their corresponding risk ratios (RRs) in patients with type 2 diabetes were selected. All patients had estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m and urinary albumin-to-creatinine ratio (UACR)
ISSN:0149-5992
1935-5548
DOI:10.2337/dc19-1897