Solimany Abozar, Khoramdad Malihe, Khademi Nahid, Delpisheh Ali
Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran. Email:
Asian Pac J Cancer Prev. 2018 Oct 26;19(10):2871-2876. doi: 10.22034/APJCP.2018.19.10.2871.
Background and objective: Stomach cancer is the second common and the most deadly type of cancer in Iranian populations. The pattern of this cancer varies in different populations; demonstrating association with environmental, racial, and geographical factors. The focus of this study was to identify the clustering and the high-risk and low-risk regions for stomach cancer by using spatio-temporal analysis in Kermanshah province during 2009-2014. Method: All new cases of stomach cancer were studied by census method in 2009 to end 2014 in Kermanshah province. The required information and statistics (address, age, and sex) of patients were extracted from the cancer registry system of Vice-Chancellor in health affairs, Kermanshah University of Medical Sciences. Also, with having the location, diagnosis time, and counting information of all age groups of stomach cancer patients, the spatially and temporally abnormal places of clustering were identified with the use of saTScan and GIS. Results: the total number of stomach cancer subjects during the period of study was 1040, with a mean age of 66.5± 1. in addition, 11 regions (located in 1st, 2nd, and 3rd municipal districts) demonstrated abnormal Spatio-temporal pattern of stomach cancer incidence (hot spots) and clustered disease, with 5 regions (in 4th and 5th districts) representing lower chance of clustering (cold spots, p value˂0.05). Conclusion: Given the growing rate of stomach cancer incidence in specific geographical areas and, its high potential of mortality, and the possible relationship with environmental variables (e.g. climate variables); the efforts need to be focused on the identification of hot/cold spots, the predisposing factors, and the possible clusters in the affected areas.
胃癌是伊朗人群中第二常见且最致命的癌症类型。这种癌症的发病模式在不同人群中有所不同,显示出与环境、种族和地理因素有关。本研究的重点是通过对克尔曼沙阿省2009 - 2014年期间的时空分析,确定胃癌的聚集情况以及高风险和低风险区域。方法:采用普查方法对2009年至2014年底克尔曼沙阿省所有胃癌新发病例进行研究。患者的所需信息和统计数据(地址、年龄和性别)从克尔曼沙阿医科大学卫生事务副校长的癌症登记系统中提取。此外,通过掌握所有年龄段胃癌患者的位置、诊断时间和计数信息,利用时空扫描统计软件(saTScan)和地理信息系统(GIS)确定聚集的时空异常区域。结果:研究期间胃癌患者总数为1040例,平均年龄为66.5±1岁。此外,11个区域(位于第1、第2和第3市政区)显示出胃癌发病率的异常时空模式(热点)和疾病聚集,5个区域(位于第4和第5区)显示出较低的聚集可能性(冷点,p值˂0.05)。结论:鉴于特定地理区域胃癌发病率的增长速度、其高死亡率潜力以及与环境变量(如气候变量)的可能关系,需要集中精力识别受影响地区的热点/冷点、诱发因素和可能的聚集情况。