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 |
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Hauptverfasser: | , , , , , , , , , , , , , , |
Format: | Artikel |
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) |
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ISSN: | 0149-5992 1935-5548 |
DOI: | 10.2337/dc19-1897 |