Development of a Prognostic Model That Predicts Survival After Pancreaticoduodenectomy for Ampullary Cancer

被引:12
|
作者
Feretis, Michael [1 ,2 ]
Wang, Tengyao [3 ]
Iype, Satheesh [1 ,2 ]
Duckworth, Adam [4 ]
Brais, Rebecca [4 ]
Basu, Bristi [5 ]
Jamieson, Neville V. [1 ,2 ]
Huguet, Emmanuel [1 ,2 ]
Balakrishnan, Anita [1 ,2 ]
Jah, Asif [1 ,2 ]
Praseedom, Raaj K. [1 ,2 ]
Harper, Simon J. [1 ,2 ]
Liau, Siong-Seng [1 ,2 ]
机构
[1] Addenbrookes Hosp, HPB Unit, Hills Rd, Cambridge CB2 0QQ, England
[2] Addenbrookes Hosp, Univ Dept Surg, Hills Rd, Cambridge CB2 0QQ, England
[3] Univ Cambridge, Dept Stat, Stat Lab, Cambridge, England
[4] Addenbrookes Hosp, Dept Histopathol, Cambridge, England
[5] Addenbrookes Hosp, Dept Oncol, Cambridge, England
基金
英国医学研究理事会;
关键词
ampullary adenocarcinoma; periampullary tumors; pancreaticoduodenectomy; survival; METASTATIC LYMPH-NODES; LONG-TERM SURVIVAL; ADJUVANT THERAPY; VATER; ADENOCARCINOMA; CARCINOMA; NUMBER; RATIO; RECURRENCE; EXPERIENCE;
D O I
10.1097/MPA.0000000000000929
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Objectives: The aims of this study were to (i) identify independent predictors of survival after pancreaticoduodenectomy for ampullary cancer and (ii) develop a prognostic model of survival. Methods: Data were analyzed retrospectively on 110 consecutive patients who underwent pancreaticoduodenectomy between 2002 and 2013. Subjects were categorized into 3 nodal subgroups as per the recently proposed nodal subclassification: N0 (node negative), N1 (1-2 metastatic nodes), or N2 (>= 3 metastatic nodes). Clinicopathological features and overall survival were compared by Kaplan-Meier and Cox regression analyses. Results: The overall 1-, 3-, and 5-year survival rates were 79.8%, 42.2%, and 34.9%, respectively. The overall 1-, 3-, and 5-year survival rates for the N0 group were 85.2%, 71.9%, and 67.4%, respectively. The 1-, 3-, 5-year survival rates for the N1 and N2 subgroups were 81.5%, 49.4%, and 49.4% and 75%, 19.2%, and 6.4%, respectively (log rank, P < 0.0001). After performing a multivariate Cox regression analysis, vascular invasion and lymph node ratio were the only independent predictors of survival. Hence, a prediction model of survival was constructed based on those 2 variables. Conclusions: Using data from a carefully selected cohort of patients, we created a pilot prognostic model of postresectional survival. The proposed model may help clinicians to guide treatments in the adjuvant setting.
引用
收藏
页码:1314 / 1321
页数:8
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