Suppr超能文献

伊朗女性乳腺癌和子宫颈癌的双变量时空疾病图谱

Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women.

作者信息

Raei Mehdi, Schmid Volker Johann, Mahaki Behzad

机构信息

Student Research Committee, School of Health, Isfahan University of Medical Sciences, Isfahan.

出版信息

Geospat Health. 2018 May 8;13(1):645. doi: 10.4081/gh.2018.645.

Abstract

Cervical cancer in women is one of the most common cancers and breast cancer has grown dramatically in recent years. The purpose of this study was to map the incidence of breast and cervix uteri cancer among Iranian women over a 6-year period (2004-2009) searching for trend changes and risk factors. Cancer incidence data were extracted from the annual reports of the National Cancer Registry in Iran. Hierarchical Bayesian models, including random spatial and temporal effects was utilized together with bivariate, spatio-temporal shared component modelling. The provinces Tehran, Isfahan, Mazandaran and Gilan were found to have the highest relative risk (RR) of breast cancer, while the highest RR of cervix uteri cancer was observed in Tehran, Golestan, Khuzestan and Khorasan Razavi. Shared risk factors (smoking component) between the two cancers were seen to have the highest influence in Tehran, Khorasan Razavi, Yazd, Isfahan, Golestan, Khuzestan, Fars and Mazandaran, while the least were observed in Kohgiluyeh Boyerahmad. Apparent differences and distinctions between high-risk and low-risk provinces reveal a pattern of obvious dispersion for these cancers in Iran that should be considered when allocating healthcare resources and services in different areas.

摘要

女性宫颈癌是最常见的癌症之一,近年来乳腺癌的发病率急剧上升。本研究的目的是绘制伊朗女性在6年期间(2004 - 2009年)乳腺癌和子宫颈癌的发病率,寻找趋势变化和风险因素。癌症发病率数据取自伊朗国家癌症登记处的年度报告。采用了包括随机空间和时间效应的分层贝叶斯模型,以及双变量时空共享成分建模。发现德黑兰、伊斯法罕、马赞德兰和吉兰等省份的乳腺癌相对风险(RR)最高,而在德黑兰、戈勒斯坦、胡齐斯坦和霍拉桑拉扎维观察到子宫颈癌的RR最高。在德黑兰、霍拉桑拉扎维、亚兹德、伊斯法罕、戈勒斯坦、胡齐斯坦、法尔斯和马赞德兰,两种癌症之间的共同风险因素(吸烟成分)影响最大,而在科吉卢耶博韦艾哈迈德观察到的影响最小。高风险和低风险省份之间明显的差异揭示了伊朗这些癌症明显的分散模式,在不同地区分配医疗资源和服务时应予以考虑。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验