A population-based nomogram to individualize treatment modality for pancreatic cancer patients underlying surgery.

ABSTRACT: As the most aggressive tumor, TNM staging does not accurately identify patients with pancreatic cancer who are sensitive to therapy. This study aimed to identify associated risk factors and develop a nomogram to predict survival in pancreatic cancer surgery patients and to select the most appropriate comprehensive treatment regimen. First, the survival difference between radiotherapy and no radiotherapy was calculated based on propensity score matching (PSM). Cox regression was conducted to select the predictors of overall survival (OS). The model was constructed using seven variables: histologic type, grade, T stage, N stage, stage, chemotherapy and radiotherapy. All patients were classified into high- or low-risk groups based on the nomogram. The nomogram model for OS was established and

SUBMITTER: Shi XY 

PROVIDER: S-EPMC10038997 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature