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Chinese Journal of Operative Procedures of General Surgery(Electronic Edition) ›› 2023, Vol. 17 ›› Issue (05): 566-570. doi: 10.3877/cma.j.issn.1674-3946.2023.05.025

• Original Article • Previous Articles     Next Articles

Establishment and application of preoperative prognostic model for resectable pancreatic cancer

Chengpeng Jia, Daihong Wang(), Hua Chen(), Bei Sun   

  1. Department of Hepatobiliary and Pancreatic Surgery, Xianning Central Hospital, Xianning Hubei Province 437100, China
    Department of Pancreaticobiliary Surgery, The First Affiliated Hospital of Harbin Medical University, Key Laboratory of Hepatosplenic Surgery Ministry of Education, Harbin Heilongjiang Province 150001, China
  • Received:2023-05-19 Online:2023-10-26 Published:2023-09-11
  • Contact: Daihong Wang, Hua Chen

Abstract:

Objective

A mathematical model was established before operation to provide reference for treatment decision of patients with resectable pancreatic cancer.

Method

The clinical data of 120 patients with resectable pancreatic ductal adenocarcinoma(PDAC)who met the study criteria and were admitted from January 2011 to June 2018 were retrospectively analyzed. The patients' clinical data were divided into two groups with high and low survival,with the survival period less than 20 months as the limit. Statistical analysis was performed using SAS 9.4(Cary,NC),univariate analysis and multivariate regression analysis were used by Log-Rank method to determine independent risk factors for poor prognosis of pancreatic cancer,and then a risk prediction model for poor prognosis of pancreatic cancer(<20 months)was established. P<0.05 was considered to be statistically significant.

Results

Univariate and multifactorial Logistic regression analysis showed that SIII,CA19-9 and tumor size were independent risk factors for poor prognosis of pancreatic cancer(<20 months)(P<0.05). After fitting,the formula model for predicting adverse prognosis of pancreatic cancer was obtained:Logp/1-p)=-5.825+0.004× SIII+0.002×CA199+0.822× tumor size;The area under the training suite was 0.872(95%CI 0.7977-0.946),P<0.001,sensitivity was 0.824,specificity was 0.818;Hosmer-Lemeshow goodness of fit test χ2=3.031,P=0.932.

Conclusions

This prediction model can evaluate the prognosis and survival of patients with resectable PDAC before surgery,and at the same time screen resectable PDAC,so as to provide a certain reference for the treatment decision of patient.

Key words: Pancreatic Neoplasms, Prognosis, Tumor Size, Systemic Immune Inflammation Index, Prediction Model

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