A prognostic model and novel risk classification system for radical gallbladder cancer surgery: A population-based study and external validation.

BACKGROUND

This research aimed to create a predictive model and an innovative risk classification system for patients with gallbladder cancer who undergo radical surgery.

METHODS

A cohort of 1387 patients diagnosed with gallbladder cancer was selected from the SEER database. The researchers devised a prognostic tool known as a nomogram, which was subjected to assessment and fine-tuning using various statistical measures such as the concordance index (C-index), receiver operating characteristic (ROC) curve, and calibration curve, decision curve analysis (DCA), and risk stratification were included in the catalog of comparisons. An external validation set comprising 93 patients from Nanchong Central Hospital was gathered for evaluation purposes.

RESULTS

The nomogram effectively incorporated seven variables and demonstrated satisfactory discriminatory ability, as evidenced by the C-index (training cohort: 0.737, validation cohort: 0.730) and time-dependent AUC (>0.7). Additionally, calibration plots confirmed the excellent alignment between the nomogram and actual observations. Our investigation unveiled NRI scores of 0.79, 0.81, and 0.81 in the training group, while the validation group exhibited NRI values of 0.82, 0.77, and 0.78. Additionally, when evaluating CSS at three-, six-, and nine-year intervals using DCA curves, our established nomograms demonstrated significantly improved performance compared to the old model ( < 0.05), showcasing enhanced discriminatory ability. The results of the external validation set proved the above results.

CONCLUSIONS

The current investigation has devised a practical prognostic nomogram and risk stratification framework to aid healthcare practitioners in evaluating the postoperative outlook of individuals who have received extensive surgical treatment for gallbladder carcinoma.