在癌症研究中应用空间生存方法的审查:趋势,建模和可视化技术
Habtamu Mellie Bizuayehu1,2, Jessica K Cameron1,2,3, Paramita Dasgupta1
1Viertel Cancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia.
概括
本范围审查检查了癌症存活率的空间建模,确定了地理差异. 加强数据共享和协作可以改善癌症的结果,并减少因地理不平等而导致的死亡.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 对癌症存活率的空间建模对于识别地理差异和告知资源分配至关重要.
- 了解癌症存活率的地理差异对于有针对性的干预措施至关重要.
- 这是第一个系统地分析空间癌症生存模型中的方法,可视化技术和出版趋势的范围审查.
研究的目的:
- 对癌症生存的空间建模方法进行首次范围审查.
- 描述空间癌症生存分析中使用的不同建模和可视化技术.
- 评估与空间癌症生存模型相关的出版物中的时间趋势.
主要方法:
- 使用系统审查和元分析 (PRISMA) 准则的首选报告项目进行系统的文献搜索.
- 搜索的数据库包括PubMed和科学网.
- 纳入标准:使用空间回归和/或映射测量癌症存活率在小地理区域的研究. 其中包括32篇文章.
主要成果:
- 随着时间的推移,空间癌症生存模型的出版物数量有所增加.
- 确定了八种不同的空间生存建模方法和七种可视化技术.
- 大多数研究都在高收入国家进行,利用癌症注册数据.
结论:
- 增加空间建模的使用可以为减少癌症结果差异的努力提供信息.
- 优先考虑基于人口的癌症注册表的完整性,促进统计编程语法和国际合作的开放共享至关重要.
- 空间建模为解决癌症存活率的地理不平等问题提供了强有力的证据基础.
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