Which nomogram is best for predicting non-sentinel lymph node metastasis in breast cancer patients? A meta-analysis

@article{Zhu2012WhichNI,
  title={Which nomogram is best for predicting non-sentinel lymph node metastasis in breast cancer patients? A meta-analysis},
  author={Liling Zhu and Liang Jin and Shunrong Li and Kai Chen and Weijuan Jia and Quanyuan Shan and Stephen Walter and Erwei Song and Fengxi Su},
  journal={Breast Cancer Research and Treatment},
  year={2012},
  volume={137},
  pages={783-795}
}
To present a systemic review and meta-analysis to evaluate the nomograms developed to predict non-sentinel lymph node (NSLN) metastasis in breast cancer patients. We focused on the six nomograms (Cambridge, MSKCC, Mayo, MDA, Tenon, and Stanford) that are the most widely validated. The AUCs were converted to odds ratios for the meta-analysis. In total, the Cambridge, Mayo, MDA, MSKCC, Stanford, and Tenon models were validated in 2,156, 2,431, 843, 8,143, 3,700, and 3,648 patients, respectively… CONTINUE READING

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