Factors related to long-term survival in patients affected by well-differentiated endocrine tumors of the pancreas.

ISRN surgery Pub Date : 2012-01-01 Epub Date: 2012-07-02 DOI:10.5402/2012/389385
Riccardo Casadei, Claudio Ricci, Paola Tomassetti, Davide Campana, Francesco Minni
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引用次数: 9

Abstract

Aim. To identify factors related to survival in patients affected by well-differentiated PETs (benign, uncertain behavior, and carcinoma) who underwent R0 pancreatic resection. Methods. Retrospective study of 74 consecutive patients followed up from January 1980 to December 2011. Prognostic factors were sex, age, type of tumor, presence of symptoms, type of surgical procedure, size of tumor, lymph nodes status, WHO classification, and TNM stage. Overall survival was evaluated using the Kaplan-Meier method. Cox regression analyses were used to identify the factors associated with prognosis in univariate and multivariate analysis. Results. The mean follow-up of all the patients was 106 ± 89 months. The 5-10-year long-term survival was 90.9% and 79.1%, respectively. At univariate analysis, patient age <55 years was significantly related to a better long-term survival compared to patients age ≥55 years (307 ± 15 months versus 192 ± 25 months; P = 0.010). Multivariate analysis showed that female gender (P = 0.006), patients without comorbidities (P = 0.033), and patients affected by well-differentiated benign pancreatic endocrine tumors (P = 0.008 and P = 0.002 in relation to tumors with uncertain behavior and carcinomas, resp.) were factors significantly related to a better long-term survival. Conclusions. Patients factors were strongly related to a better long-term survival in patients observed. WHO classification is a very useful prognostic tool for well-differentiated PETs.

Abstract Image

胰腺高分化内分泌肿瘤患者长期生存的相关因素
的目标。确定接受R0胰腺切除术的高分化pet(良性、不确定行为和癌)患者的生存相关因素。方法。回顾性分析1980年1月至2011年12月连续随访的74例患者。预后因素包括性别、年龄、肿瘤类型、症状、手术类型、肿瘤大小、淋巴结状况、WHO分类和TNM分期。采用Kaplan-Meier法评估总生存率。在单因素和多因素分析中,采用Cox回归分析确定与预后相关的因素。结果。所有患者平均随访106±89个月。5-10年长期生存率分别为90.9%和79.1%。在单变量分析中,患者年龄
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