Predictors of Kidney Disease Progression in Diabetes and Precision Medicine: Something Old, Something New, and Something Borrowed
Author:
Publisher
American Society of Nephrology (ASN)
Subject
Nephrology,General Medicine
Reference11 articles.
1. Association of race/ethnicity, gender, and socioeconomic status with sodium-glucose cotransporter 2 inhibitor use among patients with diabetes in the US;Eberly;JAMA Netw Open,2021
2. Risk Prediction for Early CKD in Type 2 Diabetes
3. Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression
4. Circulating TNF Receptors 1 and 2 Predict Stage 3 CKD in Type 1 Diabetes
5. Circulating TNF Receptors 1 and 2 Predict ESRD in Type 2 Diabetes
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. APOC1 as a novel diagnostic biomarker for DN based on machine learning algorithms and experiment;Frontiers in Endocrinology;2023-02-20
2. The Next Frontier: Biomarkers and Artificial Intelligence Predicting Cardiorenal Outcomes in Diabetic Kidney Disease;Kidney360;2022-09-29
3. Therapeutic Potential of Photobiomodulation for Chronic Kidney Disease;International Journal of Molecular Sciences;2022-07-21
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