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1990年至2019年中国女性人群甲状腺癌的发病趋势及空间分布

Incidence trends and spatial distribution of thyroid cancer in the Chinese female population from 1990 to 2019.

作者信息

Qiao Xiaowei, Cui Yunshang, Ma Changgeng, Ma Chunxiao, Bai Bingyu, Wang Chunping

机构信息

School of Public Health, Shandong Second Medical University, Weifang, Shandong, China.

Chinese Center for Disease Control and Prevention, Beijing, China.

出版信息

Asia Pac J Oncol Nurs. 2024 Jun 1;11(7):100529. doi: 10.1016/j.apjon.2024.100529. eCollection 2024 Jul.

DOI:10.1016/j.apjon.2024.100529
PMID:39072256
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11277797/
Abstract

OBJECTIVE

This study aimed to analyze the incidence trends and spatial distribution characteristics of thyroid cancer among Chinese females from 1990 to 2019, thereby providing a scientific foundation and data support for the development of prevention and control policies.

METHODS

Thyroid cancer incidence data from the Global Burden of Disease (GBD) research and the annual report from the Chinese Tumor Registration were utilized. The standardized thyroid cancer incidence rate among Chinese females 1990 to 2019 was described to understand the changes in developmental trends. The JoinPoint Regression Model was employed using Excel 2019, GraphPad Prism 8, JoinPoint Regression Program 4.8.0.1, and ArcGIS 10.2.

RESULTS

Thyroid cancer's standardized incidence among female Chinese continued to increase at 1.7% per year (annual average percentage change [AAPC] = 1.7,  < 0.001), and the spatial distribution was clustered. The main high-incidence areas were North, East, and Northwest China.

CONCLUSIONS

Thyroid cancer incidence in Chinese women is rapidly increasing, and its spatial distribution is concentrated. Strengthening monitoring, prevention, and control efforts in the relevant areas is warranted.

摘要

目的

本研究旨在分析1990年至2019年中国女性甲状腺癌的发病趋势和空间分布特征,从而为防控政策的制定提供科学依据和数据支持。

方法

利用全球疾病负担(GBD)研究中的甲状腺癌发病数据以及中国肿瘤登记年报。描述1990年至2019年中国女性甲状腺癌标准化发病率,以了解发病趋势变化。使用Excel 2019、GraphPad Prism 8、JoinPoint回归程序4.8.0.1和ArcGIS 10.2采用JoinPoint回归模型。

结果

中国女性甲状腺癌标准化发病率继续以每年1.7%的速度上升(年均百分比变化[AAPC]=1.7,<0.001),且空间分布呈聚集性。主要高发地区为中国北方、东部和西北部。

结论

中国女性甲状腺癌发病率正在迅速上升,且其空间分布集中。有必要加强相关地区的监测、预防和控制工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/b6d7e7b0c9b9/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/006f0a6552c6/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/7582a1435b16/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/479c9b8e425f/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/6a6ebcdbc391/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/0c05dbe9b0f2/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/4adebdffadf5/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/b6d7e7b0c9b9/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/006f0a6552c6/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/7582a1435b16/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/479c9b8e425f/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/6a6ebcdbc391/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/0c05dbe9b0f2/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/4adebdffadf5/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c9/11277797/b6d7e7b0c9b9/gr7.jpg

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