Conclusion
death
In this study, we developed a novel risk prediction nomogram for early all-cause and CS survival in patients with resected SMPCC using data extracted from the SEER database. The nomogram achieved high prediction accuracy and consistency in both training and validation cohorts. The DCA showed that the nomograms had a better clinical net value than the TNM staging system. This model can provide a simple and accurate tool for clinicians to predict the risk of early death in SMPCC patients undergoing surgery and could be used to optimize the treatment according to the patient's needs.