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肝外胆管癌不同术式生存分析
引用本文:王鹤令,周勇,郭仁宣,张见黎,周宝森. 肝外胆管癌不同术式生存分析[J]. 中国医科大学学报, 2004, 33(5): 435-437
作者姓名:王鹤令  周勇  郭仁宣  张见黎  周宝森
作者单位:1. 中国医科大学附属第二医院二部普通外科,辽宁,沈阳,110022
2. 中国医科大学附属第一医院普通外科,辽宁,沈阳,110022
3. 康平县人民医院外科
4. 中国医科大学公共卫生学院流行病学教研室
摘    要:目的:分析肝外胆管癌患者的预后因素.方法:多因素Cox模型分析预后因素.结果:手术方式和术后生存期的关系最为密切,其次是病理类型、术后并发症,建立了肝外胆管癌术后生存危险状态函数.探查术的1,3,5年生存率分别为11.48%,0.06%,0.003%;外引流术分别为30%,16.12%,0.31%,切除术分别为69.23%,28.10%,17.04%.结论:手术切除是治疗肝外胆管癌患者的最佳方案.

关 键 词:胆管癌  Cox模型  生存分析  预后因素
文章编号:0258-4646(2004)05-0435-03
修稿时间:2004-03-05

Analysis of prognostic factors of patients with extrahepatic bile duct carcinoma
WANG He-ling,ZHOU Yong,GUO Ren-xuan,ZHANG Jian-li,ZHOU Bao-sen. Analysis of prognostic factors of patients with extrahepatic bile duct carcinoma[J]. Journal of China Medical University, 2004, 33(5): 435-437
Authors:WANG He-ling  ZHOU Yong  GUO Ren-xuan  ZHANG Jian-li  ZHOU Bao-sen
Affiliation:WANG He-ling1,ZHOU Yong1,GUO Ren-xuan2,ZHANG Jian-li3,ZHOU Bao-sen4
Abstract:Objective: To analyze prognostic factors of patients with extrahepatic bile duct carcinoma. Methods: Multi variate Cox model was used to analyze prognostic factors. Results: The relation between operation type and postoperative survival period was t he most close and postoperative survival period was obviously lengthened for pat ients with resection. Pathological type and postoperative complication were also proved to be correlated with postoperative survival period and mathematic funct ion was created to evaluate postoperative survival risk state of extrahepatic bi le duct carcinoma. Based on this, survival rates of 1,3, and 5 years after diffe rent operation types were compared. The survival rates of 1,3, and 5 years after exploration were 11.48%,0.06%,0.003%, respectively. The rates after extra-d rainage were 30%,16.12%,0.31%, and the rates were 69.23%,28.10%,17.04% for resection operation. Conclusion: Operation resection was opti mal scheme to treat patients with extrahepatic bile duct carcinoma.
Keywords:bile duct carcinoma  Cox model  survival an alysis  prognostic factors
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