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

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

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

Suggested Citation

  • Zhen-yu Zhang & Cong Li & Wei Gao & Xiao-wei Yin & Qi-feng Luo & Nan Liu & Shiva Basnet & Zhen-ling Dai & Hai-yan Ge, 2016. "A Nomogram to Predict Adequate Lymph Node Recovery before Resection of Colorectal Cancer," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-15, December.
    • Handle: RePEc:plo:pone00:0168156
    DOI: 10.1371/journal.pone.0168156
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