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1984 - 1987年瑞典东南部医疗保健地区卵巢恶性肿瘤的基于人群的调查。

A population-based survey of ovarian malignancies in the southeast health care region of Sweden 1984-1987.

作者信息

Högberg T, Simonsen E, Carstensen J

机构信息

Department of Gynecologic Oncology, University Hospital, Linköping, Sweden.

出版信息

Acta Oncol. 1994;33(7):739-45. doi: 10.3109/02841869409083942.

DOI:10.3109/02841869409083942
PMID:7993640
Abstract

All 426 patients with ovarian malignancies registered in the population-based Tumor Registry of the Southeast region of Sweden during 1984 to 1987 were analyzed by survey of the hospital records and population registry data. After comparison with other population-based materials, it seems that the overall survival figures have improved in ovarian cancer. Excluding patients diagnosed at autopsy a 5-year corrected survival of 43% was recorded. Among patients aged under 45 years the corrected 5-year survival was 72%. In a Cox's regression analysis age and stage were significant predictors of cancer death while histology (epithelial vs. non-epithelial), although significant in the univariate analysis, did not add prognostic information in the multivariate model. The relative cancer death rate was 6.4 for patients aged over 74 years compared with those aged under 45 (p < 0.0001), and 13.8 for FIGO stage IV compared to stage I (p < 0.0001). For patients with advanced stage tumors (FIGO stage III or IV) postoperative residual tumor, stage, and age were independent prognostic factors in a multivariate analysis. The corrected cancer death rate was 2.0 for patients with > 1 cm relative to < or = 1 cm postoperative residual tumor nodule(s) (p < 0.0001).

摘要

对1984年至1987年期间瑞典东南部地区基于人群的肿瘤登记处登记的426例卵巢恶性肿瘤患者进行了医院记录调查和人口登记数据分析。与其他基于人群的资料相比,卵巢癌的总体生存数据似乎有所改善。排除尸检诊断的患者后,记录的5年校正生存率为43%。45岁以下患者的校正5年生存率为72%。在Cox回归分析中,年龄和分期是癌症死亡的重要预测因素,而组织学类型(上皮性与非上皮性)虽然在单变量分析中具有显著性,但在多变量模型中并未增加预后信息。74岁以上患者的相对癌症死亡率与45岁以下患者相比为6.4(p < 0.0001),FIGO IV期与I期相比为13.8(p < 0.0001)。对于晚期肿瘤(FIGO III期或IV期)患者,术后残留肿瘤、分期和年龄在多变量分析中是独立的预后因素。术后残留肿瘤结节>1 cm的患者与≤1 cm的患者相比,校正癌症死亡率为2.0(p < 0.0001)。

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