biostudies-literatureBai SThe Project of Shanghai Shenkang Hospital Development CenterNatural Science Foundation of Shanghai Municipalitye1991https://www.ebi.ac.uk/biostudies/studies/S-EPMC10913079biostudies-literatureUnknown7(3)<h4>Background</h4>Surgical resection remains the primary treatment option for gallbladder carcinoma (GBC). However, there is a pressing demand for prognostic tools that can refine patients' treatment choices and tailor personalized therapies accordingly.<h4>Aims</h4>The nomograms were constructed using the data of a training cohort (n = 378) of GBC patients at Eastern Hepatobiliary Surgery Hospital (EHBH) between 2008 and 2018. The model's performance was validated in GBC patients (n = 108) at Guangzhou Centre from 2007 to 2018.<h4>Methods and results</h4>The 5-year overall survival (OS) rate in the training cohort was 24.4%. Multivariate analyses were performed using preoperative and postoperative data to identify independent predictors of OS. These predictors were then incorporated into preoperative and postoperative nomograms, respectively. The C-index of the preoperative nomogram was 0.661 (95% CI, 0.627 to 0.694) for OS prediction and correctly delineated four subgroups (5-year OS rates: 48.1%, 19.0%, 15.6%, and 8.1%, p < 0.001). The C-index of the postoperative nomogram was 0.778 (95%CI, 0.756 -0.800). Furthermore, this nomogram was superior to the 8th TNM system in both C-index and the net benefit on decision curve analysis. The results were externally validated.<h4>Conclusion</h4>The two nomograms showed an optimally prognostic prediction in GBC patients after curative-intent resection.Cancer reports (Hoboken, N.J.)Nomograms to predict long-term survival for patients with gallbladder carcinoma after resection.PMC1091307981372674SHDC12016127Qiu JBai SWen ZLiu LWang CYang PWang HWang JZhang BfalseNomograms to predict long-term survival for patients with gallbladder carcinoma after resection.<h4>Background</h4>Surgical resection remains the primary treatment option for gallbladder carcinoma (GBC). However, there is a pressing demand for prognostic tools that can refine patients' treatment choices and tailor personalized therapies accordingly.<h4>Aims</h4>The nomograms were constructed using the data of a training cohort (n = 378) of GBC patients at Eastern Hepatobiliary Surgery Hospital (EHBH) between 2008 and 2018. The model's performance was validated in GBC patients (n = 108) at Guangzhou Centre from 2007 to 2018.<h4>Methods and results</h4>The 5-year overall survival (OS) rate in the training cohort was 24.4%. Multivariate analyses were performed using preoperative and postoperative data to identify independent predictors of OS. These predictors were then incorporated into preoperative and postoperative nomograms, respectively. The C-index of the preoperative nomogram was 0.661 (95% CI, 0.627 to 0.694) for OS prediction and correctly delineated four subgroups (5-year OS rates: 48.1%, 19.0%, 15.6%, and 8.1%, p < 0.001). The C-index of the postoperative nomogram was 0.778 (95%CI, 0.756 -0.800). Furthermore, this nomogram was superior to the 8th TNM system in both C-index and the net benefit on decision curve analysis. The results were externally validated.<h4>Conclusion</h4>The two nomograms showed an optimally prognostic prediction in GBC patients after curative-intent resection.2024-01-01T00:00:00Z2024 Mar2026-07-07T03:09:29.701Z2026-07-07T03:07:39.91ZS-EPMC109130793844130610.1002/cnr2.1991