Construction and validation of a prognostic prediction model for gastric mucinous adenocarcinoma based on the seer database

HIGHLIGHTS

• What: To assess the predictive performance of the model, the authors conducted a comprehensive evaluation utilizing the concordance index (C-index), area under the time-dependent ROC curve (AUC), and calibration curves in both the training and validation sets. In comparison to other gastric cancer prognostic models, the model developed in this study shows higher specificity for GMA patients, suggesting that it aligns more closely with the pathological and biological characteristics of the GMA subtype and can provide more targeted survival predictions for these patients. This study shows that patients aged ≥60 years face a significantly elevated . . .
  

   

  

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