Prognostic factors in primary adenocarcinoma of the small intestine: 13-year single institution experience

Prognostic factors in primary adenocarcinoma of the small intestine: 13-year single institution experience
复制标题

DOI:
10.1186/1477-7819-6-12
复制
发表时间:
2008-01-31
影响因子:
3.2
通讯作者:
Mittal, Vijay K.
Mittal, Vijay K.
中科院分区:
医学3区
文献类型:
--
作者:
Chaiyasate, Kongkrit;Jain, Akhilesh K.;Mittal, Vijay K.

文献摘要

被引文献

相似文献

背景:与其他胃肠道恶性肿瘤相比,小肠腺癌是一种相对罕见的恶性肿瘤。非特异性的表现和罕见的发生往往会导致诊断的延迟和相应的不良预后。方法:回顾分析1990年至2003年普罗维登斯医院和医学中心收治的27例小肠腺癌患者的临床资料。使用SPSS软件(版本10.0;SPSS,Inc.,芝加哥,伊利诺伊州)分析数据。生存分析采用Kaplan Meier方法,采用对数秩检验法进行统计学处理。结果:患者中男性9例,女性18例,确诊时年龄中位数为62岁。只有48%的患者有准确的术前诊断,而另有33%的患者被诊断为小肠恶性肿瘤。5年累计生存率为30%,中位生存期为3.3年。本组患者术后30d内无死亡病例。结论:单因素分析显示肿瘤分级、临床分期、淋巴结转移和手术切缘是影响患者生存的重要因素。
Background: Adenocarcinoma of the small bowel is a relatively rare malignancy as compared to the other malignancies of the gastrointestinal tract. Nonspecific presentation and infrequent occurrence often leads to a delay in diagnosis and consequent poor prognosis. Various other factors are of prognostic importance while managing these tumors.Methods: The medical records of a total of 27 patients treated for adenocarcinoma of the small bowel at Providence Hospital and Medical Centers from year 1990 through 2003 were reviewed retrospectively. Data were analyzed using SPSS software (version 10.0; SPSS, Inc., Chicago, IL). Survival analyses were calculated using the Kaplan Meier method with the log rank test to assess the statistical significance. The socio-demographics (age, gender) were calculated using frequency analyses.Results: The patients included nine males and eighteen females with a median age at diagnosis of 62 years. Only 48% of the patients had an accurate preoperative diagnosis while another 33% had a diagnosis suspicious of small bowel malignancy. None of the patients presented in stage 1. The cumulative five-year survival was 30% while the median survival was 3.3 years. There was no 30-day mortality in the postoperative period in our series.Conclusion: The univariate analysis demonstrated that tumor grade, stage at presentation, lymph nodal metastasis and resection margins were significant predictors of survival.