首页> 外文期刊>International journal of gynecological cancer: official journal of the International Gynecological Cancer Society >Multivariate independent prognostic factors in endometrial carcinoma: a clinicopathologic study in 181 patients: 10 years experience at the Department of Obstetrics and Gynecology of the Mainz University.
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Multivariate independent prognostic factors in endometrial carcinoma: a clinicopathologic study in 181 patients: 10 years experience at the Department of Obstetrics and Gynecology of the Mainz University.

机译:子宫内膜癌的多因素独立预后因素:一项针对181例患者的临床病理研究:在美因茨大学妇产科拥有10年的工作经验。

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The aim of this study was to evaluate the biologic outcome of endometrial carcinomas as compared to clinical and pathologic parameters and to identify multivariate independent prognostic factors. Charts were abstracted from patients with endometrial carcinoma from 1985 to 1995. Data on clinicopathologic variables, adjuvant treatment, site of recurrence, and survival were collected. chi2 test was used to test association between variables. Kaplan-Maier method was used for survival analysis and Cox proportional hazards model for multiple regression analysis. Univariate analysis revealed that FIGO stage, tumor grade, depth of myometrial invasion, biochemical analysis of progesterone receptor status, age, additional diabetes mellitus, lymph node metastasis, and type of tumor were significantly associated with the overall-survival. For disease-free interval, FIGO stage, tumor grade, depth of myometrial invasion, biochemical analysis of progesterone receptor status, lymph node metastasis, and type of tumor were also significantly associated. Multivariate analysis revealed that FIGO stage, tumor grading, tumor type, depth of myometrial invasion, and biochemically measured progesterone receptor status were associated significantly with overall survival. A significant correlation as independent prognostic factors were also seen for recurrence free interval for FIGO stage, tumor grade, and biochemical progesterone receptor status. In multivariate statistical analysis we identified FIGO stage, tumor type, tumor grade, biochemical analysis of progesterone receptor status, and depth of myometrial invasion as independent prognostic factors for overall survival, and FIGO stage, biochemical analysis of progesterone receptor status, and tumor grade as independent prognostic factors for recurrence-free interval.
机译:这项研究的目的是评估子宫内膜癌的生物学结果与临床和病理参数相比,并确定多因素独立的预后因素。图表摘自1985年至1995年的子宫内膜癌患者。收集了有关临床病理变量,辅助治疗,复发部位和生存率的数据。 chi2检验用于检验变量之间的关联。 Kaplan-Maier方法用于生存分析,Cox比例风险模型用于多元回归分析。单因素分析表明,FIGO分期,肿瘤等级,子宫肌层浸润深度,孕酮受体状态的生化分析,年龄,其他糖尿病,淋巴结转移和肿瘤类型与总体生存率显着相关。对于无病间隔,FIGO分期,肿瘤等级,子宫肌层浸润深度,孕激素受体状态的生化分析,淋巴结转移和肿瘤类型也显着相关。多变量分析显示,FIGO分期,肿瘤分级,肿瘤类型,肌层浸润深度以及生化测定的孕激素受体状态与总体生存率显着相关。作为独立的预后因素,FIGO分期,肿瘤分级和生化孕激素受体状态的无复发间隔也具有显着相关性。在多变量统计分析中,我们确定了FIGO分期,肿瘤类型,肿瘤等级,孕激素受体状态的生化分析和子宫肌层浸润深度是整体生存的独立预后因素,而FIGO分期,孕激素受体状态的生化分析和肿瘤等级分别为无复发间隔的独立预后因素。

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