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• W2784458618 abstract "Nomogram for predicting survival in patients with pancreatic cancer Wei Song, Dong-Liu Miao, Lei Chen Department of Intervention and Vascular Surgery, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou Cancer Medical Center, Suzhou, People’s Republic of China Background: The purpose of this study was to develop a nomogram to predict cancer-specific survival (CSS) in pancreatic cancer (PC). Patients and methods: We used the Surveillance, Epidemiology, and End Results (SEER) database to analyze 53,028 patients diagnosed with PC from 2004 to 2014 and randomly divided them into the training (n=26,583) cohort and validation (n=26,445) cohort. Univariate and multivariate analyses were used to select independent prognostic factors. We used significant prognostic factors for constructing a nomogram based on Cox regression analyses. Validation of the nomogram was assessed by discrimination and calibration.Results: According to the multivariate models of training cohort, a nomogram that combined age, race, tumor location, marital status, tumor size, TNM stage, tumor grade, and surgery was constructed for predicting CSS. The internally validated and externally validated C-indexes were 0.741 and 0.734, respectively. The calibration curves showed that the nomogram was able to predict 1-, 3-, and 5-year CSS accurately.Conclusion: A nomogram effectively predicts survival in patients with PC. This prognostic model may be considered for use in clinical practice.Keywords: pancreatic cancer, nomogram, SEER, cancer-specific survival, prognosis" @default.
• W2784458618 created "2018-02-02" @default.
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• W2784458618 date "2018-01-01" @default.
• W2784458618 modified "2023-10-16" @default.
• W2784458618 title "Nomogram for predicting survival in patients with pancreatic cancer" @default.
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• W2784458618 doi "https://doi.org/10.2147/ott.s154599" @default.
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