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2001 - 2015年广东省深圳市癌症发病率:一项基于人群的回顾性研究。

Incidence of Cancer in Shenzhen, Guangdong Province during 2001-2015: A Retrospective Population-Based Study.

作者信息

Xu Zhongyu, Zhou Haibin, Lei Lin, Li Hongyu, Yu Weiye, Fu Zhen, Wu Nanjin, Peng Ji, Yin Ping

机构信息

Department of Epidemiology and Biostatistics and State Key Laboratory of Environment Health, Huazhong University of Science and Technology, Wuhan 430030, China.

Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China.

出版信息

Int J Environ Res Public Health. 2017 Sep 27;14(10):1137. doi: 10.3390/ijerph14101137.

DOI:10.3390/ijerph14101137
PMID:28953262
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5664638/
Abstract

Cancer is a serious public health issue and the leading cause of death around the world. This article aimed to estimate the cancer incidence and the trend in standardized cancer incidence in Shenzhen, Guangdong province, South China during 2001-2015 by analyzing the cancer data of the population-based cancer registry in Shenzhen. Data were collected from the cancer registry in Shenzhen, which was conducted during 2001-2015. In this registry, the crude incidence rates, age-specific incidence rates, age-standardized incidence rates and cumulative incidence rates were calculated in every five years. Trends for standardized incidence rates of cancers were analyzed by using the joinpoint regression analysis. In total, 33,374.3 thousand person-years (17,593.9 thousand for males and 15,780.4 thousand for females) were monitored over this time period. The number of new cancer cases during 2001-2015 was 59,218 (30,144 and 29,074 for males and females, respectively). The crude incidence during 2001-2005 was 136.44 per 100,000 persons, while the age-standardized rates by Chinese standard population (ASR-China) and by world standard population (ASR-world) were 165.13 and 212.48 per 100,000 persons, respectively. The crude incidence during 2006-2010 was 179.01 per 100,000 persons, while the ASR-China and ASR-world were 168.08 and 214.44 per 100,000 persons, respectively. The crude incidence during 2011-2015 was 196.53 per 100,000 persons, while the ASR-China and ASR-world were 171.44 and 219.99 per 100,000 persons, respectively. During 2001 and 2015, the joinpoint regression analysis showed that the ASR-China of cancer had an overall increase of 0.96% per year and 0.84% per year for males and females respectively, although both of these values (males and females) were non-significant increases. The leading cancer types during 2011-2015 were lung, colorectal, thyroid gland, breast, liver, stomach, cervix, nasopharynx, leukemia and lymphoma. For males, the top five common cancers were lung, liver, colorectal, stomach and thyroid gland. For females, the top five common cancers were breast, thyroid gland, lung, colorectal and cervix. The results of this study showed a heavy cancer burden among the population of Shenzhen, China. Future researches of the etiology and prevention of cancers should be planned in order to reduce the incidence associated with cancers in the future.

摘要

癌症是一个严重的公共卫生问题,也是全球主要的死亡原因。本文旨在通过分析深圳基于人群的癌症登记数据,估算2001 - 2015年期间中国南方广东省深圳市的癌症发病率及标准化癌症发病率趋势。数据收集自2001 - 2015年期间深圳的癌症登记处。在此登记处中,每五年计算一次粗发病率、年龄别发病率、年龄标准化发病率和累积发病率。采用Joinpoint回归分析来分析癌症标准化发病率的趋势。在此期间共监测了3337.43万人年(男性1759.39万人年,女性1578.04万人年)。2001 - 2015年期间的新发癌症病例数为59218例(男性30144例,女性29074例)。2001 - 2005年期间的粗发病率为每10万人136.44例,而按中国标准人口计算的年龄标准化率(ASR - China)和按世界标准人口计算的年龄标准化率(ASR - world)分别为每10万人165.13例和212.48例。2006 - 2010年期间的粗发病率为每10万人179.01例;ASR - China和ASR - world分别为每10万人168.08例和214.44例。2011 - 2015年期间的粗发病率为每10万人196.53例,ASR - China和ASR - world分别为每10万人171.44例和219.99例。2001年至2015年期间,Joinpoint回归分析显示,癌症的ASR - China总体上每年增长0.96%,男性和女性分别为每年增长0.84%,尽管这两个值(男性和女性)均为非显著性增长。2011 - 2015年期间的主要癌症类型为肺癌、结直肠癌、甲状腺癌、乳腺癌、肝癌、胃癌、宫颈癌、鼻咽癌、白血病和淋巴瘤。男性中,前五位常见癌症为肺癌、肝癌、结直肠癌、胃癌和甲状腺癌。女性中,前五位常见癌症为乳腺癌、甲状腺癌、肺癌、结直肠癌和宫颈癌。本研究结果表明中国深圳人群的癌症负担较重。应规划未来癌症病因及预防的研究,以降低未来癌症的发病率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/e29da0c3e2dd/ijerph-14-01137-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/b1b071456555/ijerph-14-01137-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/2695819ed903/ijerph-14-01137-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/e7fc8a47136c/ijerph-14-01137-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/65bdba3f00bc/ijerph-14-01137-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/90f2e7423d96/ijerph-14-01137-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/e29da0c3e2dd/ijerph-14-01137-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/b1b071456555/ijerph-14-01137-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/2695819ed903/ijerph-14-01137-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/e7fc8a47136c/ijerph-14-01137-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/65bdba3f00bc/ijerph-14-01137-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/90f2e7423d96/ijerph-14-01137-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9534/5664638/e29da0c3e2dd/ijerph-14-01137-g006.jpg

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