Background. The prognostic prediction after radical resection of Adenocarcinomas of the esophagogastric junction (AEG) has not been well established. We aimed to establish a prognostic model for AEG(type II and III) based on routine markers.
Methods. 355 patients who underwent curative AEG at the first affiliated Hospital of Anhui Medical University from January 2010 to January 2011 were included in this study. Univariate and multivariate analysis were used to screen for risk factors. The construction of the nomogram was based on Cox proportional hazard regression models. The new score models was analyzed by C index and Calibration curves.
Results. Multivariate analysis showed that TNM stage, NLR and BMI were independent prognostic factors. The new score system had a higher C-index, and the Calibration curves of the nomogram were reliable.
Conclusions. Based on the serum markers and other clinical indicators, we developed a precise model to predict the prognosis of patients with AEG(type II and III). This score system can provide effective help for surgeons and patients.
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Posted 05 Aug, 2020
Posted 05 Aug, 2020
Background. The prognostic prediction after radical resection of Adenocarcinomas of the esophagogastric junction (AEG) has not been well established. We aimed to establish a prognostic model for AEG(type II and III) based on routine markers.
Methods. 355 patients who underwent curative AEG at the first affiliated Hospital of Anhui Medical University from January 2010 to January 2011 were included in this study. Univariate and multivariate analysis were used to screen for risk factors. The construction of the nomogram was based on Cox proportional hazard regression models. The new score models was analyzed by C index and Calibration curves.
Results. Multivariate analysis showed that TNM stage, NLR and BMI were independent prognostic factors. The new score system had a higher C-index, and the Calibration curves of the nomogram were reliable.
Conclusions. Based on the serum markers and other clinical indicators, we developed a precise model to predict the prognosis of patients with AEG(type II and III). This score system can provide effective help for surgeons and patients.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
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