Clinical Utility of KidneyIntelX in Early Stages of Diabetic Kidney Disease in the CANVAS Trial
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K. Mahaffey | B. Neal | H. Heerspink | G. Nadkarni | Michael K. Hansen | S. Coca | David W Lam | N. Rosenthal | F. Fleming | Gohar Mosoyan
[1] K. Mahaffey,et al. Effects of the SGLT2 inhibitor canagliflozin on plasma biomarkers TNFR-1, TNFR-2 and KIM-1 in the CANVAS trial , 2021, Diabetologia.
[2] M. Kattan,et al. Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease , 2021, Diabetologia.
[3] T. Goss,et al. Payer budget impact of an artificial intelligence in vitro diagnostic to modify diabetic kidney disease progression , 2021, Journal of medical economics.
[4] R. Vasan,et al. Association of Multiple Plasma Biomarker Concentrations with Progression of Prevalent Diabetic Kidney Disease: Findings from the Chronic Renal Insufficiency Cohort (CRIC) Study. , 2020, Journal of the American Society of Nephrology : JASN.
[5] K. Mahaffey,et al. Relative and Absolute Risk Reductions in Cardiovascular and Kidney Outcomes With Canagliflozin Across KDIGO Risk Categories: Findings From the CANVAS Program. , 2020, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[6] K. Mahaffey,et al. Different eGFR Decline Thresholds and Renal Effects of Canagliflozin: Data from the CANVAS Program. , 2020, Journal of the American Society of Nephrology : JASN.
[7] John Quackenbush,et al. Initial Validation of a Machine Learning-Derived Prognostic Test (KidneyIntelX) Integrating Biomarkers and Electronic Health Record Data To Predict Longitudinal Kidney Outcomes. , 2020, Kidney360.
[8] P. Kimmel,et al. Plasma Biomarkers of Tubular Injury and In fl ammation Are Associated with CKD Progression in Children , 2020 .
[9] K. Mahaffey,et al. Effect of Canagliflozin on Renal and Cardiovascular Outcomes across Different Levels of Albuminuria: Data from the CANVAS Program. , 2019, Journal of the American Society of Nephrology : JASN.
[10] Deepak L. Bhatt,et al. Use of Guideline-Recommended Risk-Reduction Strategies Among Patients with Diabetes and Atherosclerotic Cardiovascular Disease: Insights from Getting to an Improved Understanding of Low-Density Lipoprotein Cholesterol and Dyslipidemia Management (GOULD). , 2019, Circulation.
[11] A. Heinzel,et al. Canagliflozin reduces inflammation and fibrosis biomarkers: a potential mechanism of action for beneficial effects of SGLT2 inhibitors in diabetic kidney disease , 2019, Diabetologia.
[12] K. Mahaffey,et al. Cardiovascular and Renal Outcomes With Canagliflozin According to Baseline Kidney Function , 2018, Circulation.
[13] B. Kestenbaum,et al. Association of Soluble TNFR-1 Concentrations with Long-Term Decline in Kidney Function: The Multi-Ethnic Study of Atherosclerosis. , 2018, Journal of the American Society of Nephrology : JASN.
[14] R. Guthrie. Canagliflozin and cardiovascular and renal events in type 2 diabetes , 2018, Postgraduate medicine.
[15] L. Fried,et al. Plasma Biomarkers and Kidney Function Decline in Early and Established Diabetic Kidney Disease. , 2017, Journal of the American Society of Nephrology : JASN.
[16] K. Mahaffey,et al. Optimizing the analysis strategy for the CANVAS Program: A prespecified plan for the integrated analyses of the CANVAS and CANVAS‐R trials , 2017, Diabetes, obesity & metabolism.
[17] G. Nadkarni,et al. Biomarkers for predicting outcomes in chronic kidney disease , 2016, Current opinion in nephrology and hypertension.