Accuracy capabilities comparisons between Karakiewicz, Kattan and Cindolo nomograms in predicting outcomes for renal cancer carcinoma: A systematic review and meta-analysis

Abstract

Introduction: Several prognostic models have been proposed to predict outcomes of patients affected by renal cell carcinoma. We analyze the discriminative capabilities of Karakiewicz, Kattan and Cindolo nomograms and perform a meta-analysis to yield pooled area under the receiver operator curves (AUCs) for model comparison. The end points of interest were disease-recurrence free survival (DFS) and cancer-specific survival (CSS). Methods: An electronic search of the Medline and Embase was undertaken until July 2014. The AUC value, total number of patients, number of disease recurrence, and cancer-related deaths were extracted from the included references. AUCs of the models were converted to odds ratios (ORs). For the meta-analysis, ln(OR) was used for data pooling. For each nomogram, the combined OR was transformed back to a converted AUC (cAUC). Conclusions:The predictive abilities of the pre-and postoperative Karakiewicz models are higher than Kattan or Cindolo in predicting DFS and CSS.

Characterizing recurrent and lethal small renal masses in clear cell renal cell carcinoma using recurrent somatic mutations

“…Several proposed predictive nomograms for recurrence and cancer-specific survival have been published in the literature. Most of these nomograms rely solely on clinical parameters and originated to evaluate patients across the spectrum of tumor size and stage [20,21]. The quest to identify biomarkers in ccRCC has led to the evaluation of several known genomic aberrations present in this disease.…”