A nomogram based on inflammation and nutritional biomarkers for predicting the survival of breast cancer patients

HIGHLIGHTS

• What: In this study, the objective was to develop an inexpensive, trustworthy, and more accurate prognostic model by simultaneously combining inflammation and nutritional biomarkers collected from a substantial cohort of nearly 3000 patients diagnosed with BC. By incorporating these diverse factors, the authors aimed to enhance the accuracy and reliability of prognosis analysis in BC patients. For external validation of the model, the authors utilized TNM stage, subtype, LYM, PLT, HGB, AGR, and PA indicators, along with their respective cutoff values, to construct the model in independent cohorts, aiming to assess the robustness and applicability of the . . .
  

   

  

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