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毗邻美国的卵巢癌和子宫癌死亡率和发病率模式。

Patterns of ovarian cancer and uterine cancer mortality and incidence in the contiguous USA.

机构信息

Department of Mathematics & Statistics, University of West Florida, 11000, University Parkway, Bldg. 4, Pensacola, FL 32514, USA.

Sacred Heart Health System, USA.

出版信息

Sci Total Environ. 2019 Dec 20;697:134128. doi: 10.1016/j.scitotenv.2019.134128. Epub 2019 Aug 28.

Abstract

The main objective is to investigate the geographical variation in ovarian cancer and uterine cancer mortality, and to test associations between some risk factors and these cancer types in the contiguous US for mortality and for incidence. The modern disease surveillance software SaTScan™ was used for a spatial cluster analysis to assess any observable geographical variation in ovarian and uterine cancer mortality rates and to identify and test for spatial clusters with elevated relative risk. The analyses were first completed using age adjusted cancer rates for ovarian cancer and for uterine cancer. The cancer data was then adjusted for the risk factors (or covariates) obesity rate, smoking rate, urban, poverty rate, college education rate, race, opioids mortality rate, and for arsenic intake from well water rate. All used data for cancer mortality were for 2000-2014 while incidence data were for 2011-2015. There exist seven significant mortality clusters of ovarian cancer, with large clusters in NW, NE and SE of the US, and there exist two large mortality clusters of uterine cancer in NE and Central US. Most risk factors studied for mortality and for incidence were significant at significance levels much lower than 0.05 for either of the two cancer types, except race for ovarian cancer mortality and arsenic for ovarian incidence. This study has identified several important factors, and these findings could be used for a more effective search for cancer prevention for uterine and ovarian cancer. LIMITATIONS OF THE STUDY: The accuracy of the data could not be controlled as data were downloaded from websites. While the mortality data was complete, the incidence data had counties with missing data. The data were obtained at the county resolution. No data were available on women who had one type of cancer and then had the second type of cancer later in life. Only purely spatial clusters were studied and no temporal analysis was done.

摘要

本研究的主要目的是调查卵巢癌和子宫癌死亡率的地理变异,并检验美国毗邻地区某些风险因素与这两种癌症类型的相关性,包括死亡率和发病率。本研究使用现代疾病监测软件 SaTScan™ 进行空间聚类分析,以评估卵巢癌和子宫癌死亡率是否存在可观察到的地理变异,并识别和检验具有较高相对风险的空间集群。首先,我们使用卵巢癌和子宫癌的年龄调整癌症发病率进行分析。然后,我们将癌症数据调整为肥胖率、吸烟率、城市、贫困率、大学教育率、种族、阿片类药物死亡率和井水砷摄入量等风险因素(或协变量)。用于癌症死亡率的所有数据均来自 2000-2014 年,而用于发病率的则来自 2011-2015 年。本研究发现了七个显著的卵巢癌死亡率聚类,美国西北部、东北部和东南部存在较大的聚类,东北部和美国中部存在两个较大的子宫癌死亡率聚类。除了卵巢癌死亡率的种族因素和卵巢癌发病率的砷因素外,死亡率和发病率研究的大多数风险因素在两种癌症类型中的显著性水平均远低于 0.05。本研究确定了一些重要因素,这些发现可以用于更有效地寻找预防子宫癌和卵巢癌的方法。研究的局限性:无法控制数据的准确性,因为数据是从网站下载的。虽然死亡率数据完整,但发病率数据存在缺失的县。数据是在县一级获得的。没有关于患有一种癌症然后在以后的生活中又患有另一种癌症的女性的数据。仅研究了纯粹的空间聚类,没有进行时间分析。

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