A Nomogram to Predict Adequate Lymph Node Recovery before Resection of Colorectal Cancer

Zhen-yu Zhang, Cong Li, Wei Gao, Xiao-wei Yin, Qi-feng Luo, Nan Liu, Shiva Basnet, Zhen-ling Dai and Hai-yan Ge

PLOS ONE, 2016, vol. 11, issue 12, 1-15

Abstract: Increased lymph node count (LNC) has been associated with prolonged survival in colorectal cancer (CRC), but the underlying mechanisms are still poorly understood. The study aims to identify new predictors and develop a preoperative nomogram for predicting the probability of adequate LNC (≥ 12). 501 eligible patients were retrospectively selected to identify clinical-pathological factors associated with LNC ≥ 12 through univariate and multivariate logistic regression analyses. The nomogram was built according to multivariate analyses of preoperative factors. Model performance was assessed with concordance index (c-index) and area under the receiver operating characteristic curve (AUC), followed by internal validation and calibration using 1000-resample bootstrapping. Clinical validity of the nomogram and LNC impact on stage migration were also evaluated. Multivariate analyses showed patient age, CA19-9, circulating lymphocytes, neutrophils, platelets, tumor diameter, histology and deposit significantly correlated with LNC (P

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0168156

DOI: 10.1371/journal.pone.0168156

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