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Prediction of renal end points in chronic kidney disease
Ziyad Al-Aly
Division of General Medicine & Geriatrics
Institute of Clinical and Translational Sciences (ICTS)
Institute for Public Health
Rheumatic Diseases Research Resource-Based Center
Division of Veterans Affairs
Research output
:
Contribution to journal
›
Comment/debate
19
Scopus citations
Overview
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Dive into the research topics of 'Prediction of renal end points in chronic kidney disease'. Together they form a unique fingerprint.
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Medicine and Dentistry
Chronic Kidney Disease
100%
Maturity Onset Diabetes of the Young
50%
Glomerular Filtration Rate
50%
End Stage Renal Disease
50%
Rigor
50%
Creatinine
50%
Fibrinogen
50%
Kidney Transplantation
50%
Albuminuria
50%
Nephropathy
50%
Osteogenic Protein 1
50%
Clinical Predictor
50%
Cancer Growth Factor
50%
Keyphrases
Chronic Kidney Disease
100%
Renal Endpoints
100%
Renal Disease
33%
Clinically Significant
33%
Type 2 Diabetes Mellitus (T2DM)
33%
Transforming Growth Factor-β
33%
Estimated Glomerular Filtration Rate
33%
Predictive Models
33%
End-stage Renal Disease
33%
Albuminuria
33%
Clinical Predictors
33%
Kidney Transplantation
33%
Bone Morphogenetic protein-7 (BMP-7)
33%
Renal Outcome
33%
Risk Discrimination
33%
Doubling of Serum Creatinine
33%