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犹他州癌症数据空间分析不同方法的比较

Comparison of different methods for spatial analysis of cancer data in Utah.

作者信息

Ball Wayne, LeFevre Sam, Jarup Lars, Beale Linda

机构信息

Environmental Epidemiology Program, Utah Department of Health, Salt Lake City, Utah 84114-2104, USA.

出版信息

Environ Health Perspect. 2008 Aug;116(8):1120-4. doi: 10.1289/ehp.10815.

Abstract

BACKGROUND

The standardized incidence ratio (SIR) and SaTScan software are used by the Environmental Epidemiology Program (EEP), Utah Department of Health, to investigate health concerns and exposures in Utah (USA). Recently, the EEP acquired the Rapid Inquiry Facility (RIF). The RIF enables access of additional dimensions of data, identifies potentially exposed populations, and computes disease rates and relative risk statistics for that potentially exposed population.

OBJECTIVE

In this article we present a comparison of the SIR, SaTScan, and RIF methodologies in an investigation of cancer rates in residents living over contaminated groundwater plumes near Hill Air Force Base (HAFB) in Utah.

METHODS

For this study, we used cancer data from the Utah Cancer Registry for cancers of the lung, kidney, and non-Hodgkin lymphoma. We used SIR and the RIF to investigate the cancer rate in a defined population within the study area during six consecutive 5-year time intervals (1975-2004). We used SaTScan and the RIF to explore the study area for clusters.

RESULTS

The RIF risk analysis and SIR are mathematically identical. SIR is set up and computed by programming SAS; the RIF risk analysis, on the other hand, is set up through four menu-driven steps. The RIF disease-mapping feature enhanced the interpretation of SaTScan results. We found kidney and lung cancer to be statistically elevated for the potentially exposed population for one and two periods, respectively. SaTScan found two clusters, one outside the potentially exposed population and one that included a portion of that population.

CONCLUSION

The RIF is an easy-to-use and useful tool that extends the ability of the investigator to conduct analysis of disease rates and interpret the findings.

摘要

背景

美国犹他州卫生部环境流行病学项目(EEP)使用标准化发病比(SIR)和SaTScan软件来调查犹他州的健康问题和暴露情况。最近,EEP获得了快速查询工具(RIF)。RIF能够获取更多维度的数据,识别潜在暴露人群,并计算该潜在暴露人群的疾病发生率和相对风险统计数据。

目的

在本文中,我们比较了SIR、SaTScan和RIF方法在调查犹他州希尔空军基地(HAFB)附近受污染地下水羽流影响区域居民癌症发病率中的应用。

方法

在本研究中,我们使用了犹他州癌症登记处的肺癌、肾癌和非霍奇金淋巴瘤癌症数据。我们使用SIR和RIF调查了研究区域内特定人群在连续六个5年时间间隔(1975 - 2004年)的癌症发病率。我们使用SaTScan和RIF在研究区域内探索聚集性。

结果

RIF风险分析和SIR在数学上是相同的。SIR通过编写SAS程序来设置和计算;另一方面,RIF风险分析通过四个菜单驱动步骤来设置。RIF疾病绘图功能增强了对SaTScan结果的解读。我们发现,对于潜在暴露人群,肾癌和肺癌分别在一个时期和两个时期的发病率有统计学意义的升高。SaTScan发现了两个聚集区,一个在潜在暴露人群之外,一个包含了部分潜在暴露人群。

结论

RIF是一个易于使用且有用的工具,它扩展了研究人员进行疾病发病率分析和解读研究结果的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a397/2516561/9c2f98f7a0c2/ehp0116-001120f1.jpg

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