Nomogram for predicting overall and cancer-specific survival in patients with postoperative follicular thyroid cancer

In this research, nomograms were constructed from clinical variables in patients with postoperative Follicular Thyroid Cancer (FTC) to predict the survival of FTC patients.

Adult patients surgically treated for FTC from 2004 to 2015 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Significant clinical variables were screened using univariate analysis and further screened with multivariate Cox regression analysis, which were used to construct nomogram models for Overall Survival (OS) and Cancer-Specific Survival (CSS).

Age, sex, marital status, tumor size, glandular invasion status, N stage and M stage were identified as the clinical variables affecting the OS in FTC patients. Additionally, all variables, except sex, were found to have an impact on the CSS in FTC patients. The c-index shows agreement between the predicted results and the actual observed results, and the calibration curve of the probability of survival also shows agreement between the predicted plot and the actual observations.

Our study successfully built a nomogram of OS and CSS for FTC patients who had undergone surgery.

IV: Retrospective cohort study.