Nomogram prediction of overall survival and prognostic factors in Signet ring cell carcinoma: Based on the SEER database.

ABSTRACT: Signet ring cell carcinoma (SRCC) is a special type of poorly differentiated adenocarcinoma. This study aimed to create a nomogram to predict survival outcomes in SRCC individuals. Joinpoint regression method was used to analyze cancer incidence trends and survival. Cox proportional hazards regression identified independent prognostic factors affecting survival, which were then used to construct the nomogram. The diagnostic accuracy of the model was tested with receiver operating characteristic curves. Clinical utility of the model was validated through decision curve analysis, and predictive accuracy was assessed with calibration curves. Using the Kaplan-Meier curve to evaluate the survival time under the special risk factor. SRCC was most commonly observed in the stomach, followed by the

SUBMITTER: Wang D 

PROVIDER: S-EPMC12727297 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature