{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Bai S"],"funding":["The Project of Shanghai Shenkang Hospital Development Center","Natural Science Foundation of Shanghai Municipality"],"pagination":["e1991"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10913079"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["7(3)"],"pubmed_abstract":["<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."],"journal":["Cancer reports (Hoboken, N.J.)"],"pubmed_title":["Nomograms to predict long-term survival for patients with gallbladder carcinoma after resection."],"pmcid":["PMC10913079"],"funding_grant_id":["81372674","SHDC12016127"],"pubmed_authors":["Qiu J","Bai S","Wen Z","Liu L","Wang C","Yang P","Wang H","Wang J","Zhang B"],"additional_accession":[]},"is_claimable":false,"name":"Nomograms to predict long-term survival for patients with gallbladder carcinoma after resection.","description":"<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.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Mar","modification":"2026-07-07T03:09:29.701Z","creation":"2026-07-07T03:07:39.91Z"},"accession":"S-EPMC10913079","cross_references":{"pubmed":["38441306"],"doi":["10.1002/cnr2.1991"]}}