Dong Xu1, Kai Zhang1, Mingna Li2, J P Neoptolemos1,3, Junli Wu1, Wentao Gao1, Pengfei Wu1, Baobao Cai1, Jie Yin1, Guodong Shi1, Zipeng Lu4, Kuirong Jiang5, Yi Miao6. 1. Pancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. 2. Pathology Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. 3. Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany. 4. Pancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. surgeonmark@hotmail.com. 5. Pancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. jiangkuirong@njmu.edu.cn. 6. Pancreas Center and Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. miaoyi@njmu.edu.cn.
Abstract
BACKGROUND: Prognostic prediction had been widely used in various cancer entities, from early screening to end-stage patient caring. Currently, there is hardly any well-validated nomogram which exists for long-term survival prediction in pancreatic adenocarcinoma (PC) patients in a post-surgery setting. Our objectives are to identify possible prognostic factors in PC patients following radical resection and to develop a prognostic nomogram based on independent survival predictors. METHODS: From 2009 to 2014, a total of 432 PC patients who underwent curative intended surgeries with complete follow-up data were included in this current retrospective long-term survival analysis. Clinicopathological data were extracted from medical records, and all missing values (percentage 0.9-8.3%) were imputed five times with the "PMM" method. Cox proportional hazards models were utilized. A nomogram was formulated based on results from the multivariate regression model so as to predict OS at 1-, 2- and 3-year as well as median OS. Validations, including discrimination and calibration, were carried out with 1000 bootstrap resamples. External validation was conducted in order to verify the accuracy of our nomogram at 1 and 2 years by utilizing the clinicopathological data of 122 PC patients who underwent curative intended surgeries in 2015 in our centre. RESULTS: Age, abdominal pain, back pain, tumour location, preoperative neutrophil-lymphocyte ratio, preoperative CA19-9, tumour differentiation, microscopic nerve invasion, microscopic vascular invasion, T stage, lymph node ratio, M stage and adjuvant chemotherapy were all assembled into nomogram. The concordance index (C-index) of internal and external validation was 0.702 and 0.688, respectively. The C-index of the TNM staging system was 0.572 (P < 0.001 vs. nomogram). CONCLUSION: Our prognostic nomogram based on clinicopathological parameters shows good performance in long-term survival prediction in PC patients following radical surgery and could play a role in further clinical utilization.
BACKGROUND: Prognostic prediction had been widely used in various cancer entities, from early screening to end-stage patient caring. Currently, there is hardly any well-validated nomogram which exists for long-term survival prediction in pancreatic adenocarcinoma (PC) patients in a post-surgery setting. Our objectives are to identify possible prognostic factors in PCpatients following radical resection and to develop a prognostic nomogram based on independent survival predictors. METHODS: From 2009 to 2014, a total of 432 PCpatients who underwent curative intended surgeries with complete follow-up data were included in this current retrospective long-term survival analysis. Clinicopathological data were extracted from medical records, and all missing values (percentage 0.9-8.3%) were imputed five times with the "PMM" method. Cox proportional hazards models were utilized. A nomogram was formulated based on results from the multivariate regression model so as to predict OS at 1-, 2- and 3-year as well as median OS. Validations, including discrimination and calibration, were carried out with 1000 bootstrap resamples. External validation was conducted in order to verify the accuracy of our nomogram at 1 and 2 years by utilizing the clinicopathological data of 122 PCpatients who underwent curative intended surgeries in 2015 in our centre. RESULTS: Age, abdominal pain, back pain, tumour location, preoperative neutrophil-lymphocyte ratio, preoperative CA19-9, tumour differentiation, microscopic nerve invasion, microscopic vascular invasion, T stage, lymph node ratio, M stage and adjuvant chemotherapy were all assembled into nomogram. The concordance index (C-index) of internal and external validation was 0.702 and 0.688, respectively. The C-index of the TNM staging system was 0.572 (P < 0.001 vs. nomogram). CONCLUSION: Our prognostic nomogram based on clinicopathological parameters shows good performance in long-term survival prediction in PCpatients following radical surgery and could play a role in further clinical utilization.
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