Breast cancer is the leading cause of malignancy-related mortality in women worldwide. The more accurate prediction of lymph node metastasis and evaluation of personalized prognosis of breast cancer patients could provide evidence and reference for individualized comprehensive treatment and clinical decision-making. Nomogram is statistical calculation model developed to generate individualized prediction of a certain clinical event through the factors associated with it. Currently breast cancer related nomogram models is most commonly used in the prediction of non-sentinel lymph node status in patients with sentinel lymph node-positive breast cancer

sentinel lymph node metastasis in clinical node-negative breast cancer and prognosis evaluation of breast cancer. This article reviewed the recent advances in breast cancer related nomograms according to the above mentioned three aspects

and evaluated respectively the predictive factors

accuracy

characteristics and clinical application potential.