Predictive models in chronic kidney disease: essential tools in clinical practice
Andrea Spasiano,
Claudia Benedetti,
Giovanni Gambaro
et al.
Abstract:Purpose of review
The integration of risk prediction in managing chronic kidney disease (CKD) is universally considered a key point of routine clinical practice to guide time-sensitive choices, such as dialysis access planning or counseling on kidney transplant options. Several prognostic models have been developed and validated to provide individualized evaluation of kidney failure risk in CKD patients. This review aims to analyze the current evidence on existing predictive models and evaluate the… Show more
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