Spatiotemporal analysis of esophageal cancer incidence in Huai'an: a study based on geographic information system
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摘要:
目的 探索淮安市食管癌发病的空间分布规律,确定淮安市食管癌发病的高发区域和低发区域,为进一步开展环境风险因子研究提供依据。 方法 收集2011-2015年淮安市分乡镇(街道)的食管癌发病及人口数据,采用全局空间自相关和局部异常值分析淮安市食管癌发病的空间分布规律,采用时空扫描统计探索食管癌的发病风险区。 结果 2011-2015年淮安市食管癌平均发病率为67.12/10万,历年男性发病率均高于女性(均有P < 0.001)。自相关分析显示,淮安市食管癌发病的空间分布呈明显聚集状态,存在局部热点和冷点地区。食管癌的高发聚集区位于淮安区、淮阴区和金湖县的部分乡镇,低发聚集区包括主城区的10个街道和盱眙县的部分乡镇,男女性的聚集区位置一致。 结论 淮安市食管癌发病存在空间聚集性,男女性食管癌的高发区位置相似,本研究结果可为食管癌多致病因子的研究奠定基础。 Abstract:Objective To explore the spatiotemporal distribution pattern, and identify risk cluster of esophageal cancer in Huai'an City so as to provide evidence for control and prevention of esophageal cancer. Methods Data of esophageal cancer incidence at township level in Huai'an City from 2011 to 2015 was collected. Spatial autocorrelation and local indications of spatial autocorrelation (LISA) were implemented to evaluate the spatial pattern of esophageal cancer incidence. Spatial scan statistics was used to examine spatio-temporal clustering of risk areas. Results The average incidence of esophageal cancer in Huai'an from 2011 to 2015 was 67.12/10 million, the incidence of male was significantly higher than that of female. The results of Moran's I values implyed the spatial autocorrelation at township level. The results of LISA indicated that there were local hot spots and cold spots. The significant high-risk clusters included townships in Huai'an County, Huaiyin County and Jinhu County. The low-risk clusters were located in the main urban area and Xuyi County. Conclusions There are significant spatio-temporal aggregation for the distribution of incidence of esophageal cancer in Huai'an City and same spatiotemporal high-risk clusters between male and female. Our findings have a foundation to explore the multi-factorial etiology of esophageal cancer and have vital practical value for health services and policies implementation. -
Key words:
- Esophageal cancer /
- Spatial scan statistics /
- Spatial autocorrelation
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表 1 2011-2015年淮安市食管癌发病情况(1/10万)
Table 1. The incidence of esophageal cancer in Huai'an from 2011 to 2015 (1/100 000)
年份 男性发病率 女性发病率 合计发病率 χ2值 P值 2010 83.67 51.23 67.88 201.11 <0.001 2011 83.19 52.81 68.41 176.35 <0.001 2012 84.30 57.79 71.40 124.90 <0.001 2013 77.58 52.38 65.41 129.87 <0.001 2014 82.38 49.83 66.57 213.41 <0.001 2015 75.87 50.16 63.35 140.53 <0.001 5年平均 81.11 52.32 67.12 975.30 <0.001 Moran’s I 0.50 0.57 0.55 - - 表 2 2011-2015年淮安市食管癌时空扫描统计结果
Table 2. The result of spatial-time scan statistics for esophageal cancer in Huai'an from 2011 to 2015
指标 男性高风险区 男性低风险区 女性高风险区 女性低风险区 1 2 3 1 2 1 2 1 2 街道/乡镇数(个) 24 9 9 17 17 25 10 21 15 半径(km) 28.57 16.38 18.10 13.60 26.60 28.86 16.35 15.71 25.77 观测病例数(例) 734 198 146 69 94 438 107 66 42 预测病例数(例) 402.35 115.35 84.39 313.18 213.12 243.98 59.91 261.44 119.88 总人口数(个) 511 008 146 061 108 235 398 661 262 102 474 620 115 690 504 533 227 166 年发病率(1/10万) 143.7 135.2 136.3 17.4 34.7 92.9 92.4 13.1 18.1 聚集时间(年份) 2012 2011 2012 2012 2011 2012 2012 2011 2011 RR值 1.89 1.73 1.74 0.21 0.44 1.86 1.80 0.24 0.35 LLR 115.65 24.69 18.62 142.97 42.93 65.66 15.16 107.97 34.36 P值 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 -
[1] Ferlay J, Soerjomataram I, Dikshit R, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012[J]. INT J CANCER, 2015, 136(5): 359-386. DOI: 10.1002/ijc.29210. [2] 段纪俊, 严亚琼, 杨念念, 等. 中国恶性肿瘤发病与死亡的国际比较分析[J]. 中国医学前沿杂志(电子版), 2016, 8(7): 17-23. DOI: 10.3969/j.issn.1674-7372.2016.07.005.Duan JJ, Yan YQ, Yang NN, et al. International comparison analysis of China's cancer incidence and mortality[J]. Chin J Front Med Sci (Elect Ver), 2016, 8(7): 17-23. DOI: 10.3969/j.issn.1674-7372.2016.07.005. [3] 贺宇彤, 李道娟, 梁迪, 等. 2013年中国食管癌发病和死亡估计[J]. 中华肿瘤杂志, 2017, 39(4): 315-320. DOI: 10.3760/cma.j.issn.0253-3766.2017.04.016.He YT, Li DJ, Liang D, et al. Estimated of esophageal cancer incidence and mortality in China, 2013[J]. Chinese Journal of Oncology, 2017, 39(4): 315-320. DOI: 10.3760/cma.j.issn.0253-3766.2017.04.016. [4] 刘合岭, 苏弘博, 李恂, 等. 2006-2010年沈阳市心脑血管疾病死亡的时空聚集性分析[J]. 实用预防医学, 2015, 22(3): 262-265. DOI: 10.3969/j.issn.1006-3110.2015.03.002.Liu HL, Su HB, Li X, et al. Analysis on spatiotemporal clusters of mortalities of cardio-cerebrovascular diseases in Shenyang City in 2006-2010[J]. Practical Preventive Medicine, 2015, 22(3): 262-265. DOI: 10.3969/j.issn.1006-3110.2015.03.002. [5] 朱毓卉. 江苏省泰兴地区食管癌时空分布特征分析及女性生殖因素研究[D]. 山东大学, 2015.Zhu YH. Spatio-temporal trends and reproductive factors for esophageal cancer in Taixing, Jiang[D]. Shandong University, 2015. [6] 唐咸艳, 仇小强, 黄天壬, 等. 空间扫描统计在广西肝癌空间格局中的应用研究[J]. 中国卫生统计, 2009, 26(2): 114-116. DOI: 10.3969/j.issn.1002-3674.2009.02.001.Tang XY, Qiu XQ, Huang TR, et al. Application of spatial scan statistic on study spatial pattern analysis of liver cancer in Guangxi[J]. Chinese Journal of Health Statistics, 2009, 26(2): 114-116. DOI: 10.3969/j.issn.1002-3674.2009.02.001. [7] Epperson BK, Li T. Measurement of genetic structure within populations using Moran's spatial autocorrelation statistics[J]. Proc Natl Acad Sci U S A, 1996, 93(19): 10528-10532. DOI: 10.1073/pnas.93.19.10528. [8] Anselin L, Syabri I, Kho Y. GeoDa: an introduction to spatial data analysis[J]. GEOGR ANAL, 2005, 38(1): 5-22. DOI: 10.1111/j.0016-7363.2005.00671.x. [9] Kulldorff M, Nagarwalla N. Spatial disease clusters: detection and inference[J]. STAT MED, 1995, 14(8): 799-810. doi: 10.1002/sim.4780140809 [10] Zeng H, Zheng R, Guo Y, et al. Cancer survival in China, 2003-2005: a population-based study[J]. INT J CANCER, 2015, 136(8): 1921-1930. DOI: 10.1002/ijc.29227. [11] 胡文斌, 秦威, 张婷, 等. 江苏省昆山市1981-2014年食管癌死亡趋势及率差分解分析[J]. 中国肿瘤, 2016, 25(4): 260-266. DOI: 10.11735/j.issn.1004-0242.2016.04.A004.Hu WB, Qin W, Zhang T, et al. Temporal trend and difference decomposition analysis of esophageal carcinoma mortality in Kunshan, Jiangsu Province, 1981-2014[J]. China Cancer, 2016, 25(4): 260-266. DOI: 10.11735/j.issn.1004-0242.2016.04.A004. [12] 左婷婷, 郑荣寿, 曾红梅, 等. 中国食管癌发病状况与趋势分析[J]. 中华肿瘤杂志, 2016, 38(9): 703-708. DOI: 10.3760/cma.j.issn.0253-3766.2016.09.013.Zuo TT, Zheng RS, Zeng HM, et al. Incidence and trend analysis of esophageal cancer in China[J]. Chinese Journal of Oncology, 2016, 38(9): 703-708. DOI: 10.3760/cma.j.issn.0253-3766.2016.09.013. [13] Wei WQ, Chen ZF, He YT, et al. Long-term follow-up of a community assignment, one-time endoscopic screening study of esophageal cancer in China[J]. J CLIN ONCOL, 2015, 33(17): 1951-1957. DOI: 10.1200/JCO.2014.58.0423. [14] 孔哲. 2009-2012年杭州市胃癌发病空间统计分析[D]. 浙江大学, 2015.Kong Z. Spatial analysis of stomach cancer incidence in Hangzhou, China, 2009-2012. Zhejiang University, 2015. [15] Jacquez GM, Greiling DA. Local clustering in breast, lung and colorectal cancer in Long Island, New York[J]. INT J HEALTH GEOGR, 2003, 2(1): 3. [16] Sasson C, Cudnik MT, Nassel A, et al. Identifying high-risk geographic areas for cardiac arrest using three methods for cluster analysis[J]. ACAD EMERG MED, 2012, 19(2): 139-146. DOI: 10.1111/j.1553-2712.2011.01284.x.