van den Brand JAJG, et al. - Given that Cox models including baseline estimated glomerular filtration rate (eGFR) only are currently used for early prediction of chronic kidney disease (CKD) progression to end-stage kidney disease (ESKD), researchers undertook this prospective cohort study examining if further improvement in ESKD prediction could be achieved via alternative approaches including a Cox model that includes eGFR slope determined over a baseline period of time, a Cox model with time varying GFR, or a joint modeling approach. Data from two CKD cohorts including patients with baseline eGFR >30ml/min per 1.73m² were re-used. The outcome was rare and follow-up data were highly complete in the present studies. Improvement in predictive performance was not offered by the joint models over more traditional approaches such as a survival model with time-varying eGFR, or a model with eGFR slope.