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Predicting the progression of chronic kidney disease (CKD) is vital for clinical decision making and patient-provider communication. We previously developed an accurate static prediction model that used single-timepoint measurements of demographic and laboratory variables.Development of a dynamic predictive model using demographic, clinical, and time-dependent laboratory data from a cohort of patients...
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