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香港鼻咽癌发病率的变化模式:30 年分析与未来预测。

Changing patterns of nasopharyngeal carcinoma incidence in Hong Kong: a 30-year analysis and future projections.

机构信息

The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, Shaanxi, 710049, China.

Third Department of Medical Oncology, Shaanxi Provincial Cancer Hospital Affiliated to Medical College of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

出版信息

BMC Cancer. 2023 Aug 16;23(1):761. doi: 10.1186/s12885-023-11296-1.

Abstract

BACKGROUND

This study aims to evaluate the relationship between age, period, and birth cohort with the incidence trends of Nasopharyngeal Carcinoma (NPC) in Hong Kong, make projections through 2030 and parse the drivers of the incidence.

METHODS

Using data from the Hong Kong Cancer Registry, we used an age-period-cohort model to uniquely estimate age, period, and cohort effects on NPC incidence trends and make projections. We further assessed the drivers of NPC incidence using a validated decomposition algorithm.

RESULTS

From 1991 to 2020, crude and age-standardized incidence rates of NPC decreased significantly. The net drifts showed significant downward trends for both sexes, and local drift declined in all age groups. Period and cohort rate ratios revealed monotonic declining patterns for both sexes. Projections suggested that NPC incidence will continue to decline. Population decomposition showed that while population growth and ageing have led to an increase in NPC cases, epidemiologic changes offset these increases, resulting in an encouraging downward trend in the incidence and new NPC cases in Hong Kong.

CONCLUSIONS

The period and cohort risk of NPC in Hong Kong decreased, and epidemiologic changes offset the contribution of demographic factors, resulting in a continued decline in NPC incidence and cases.

摘要

背景

本研究旨在评估年龄、时期和出生队列与香港鼻咽癌(NPC)发病率趋势之间的关系,预测至 2030 年,并解析发病率的驱动因素。

方法

我们使用来自香港癌症登记处的数据,采用年龄-时期-队列模型,分别估计年龄、时期和队列效应对 NPC 发病率趋势的影响,并进行预测。我们进一步使用经过验证的分解算法评估 NPC 发病率的驱动因素。

结果

1991 年至 2020 年期间,NPC 的粗发病率和年龄标准化发病率均呈显著下降趋势。净漂移显示男女两性均呈显著下降趋势,所有年龄组的本地漂移均下降。时期和队列率比显示男女两性均呈单调下降模式。预测表明 NPC 发病率将继续下降。人群分解表明,尽管人口增长和老龄化导致 NPC 病例增加,但流行病学变化抵消了这些增加,导致香港 NPC 的发病率和新病例呈令人鼓舞的下降趋势。

结论

香港 NPC 的时期和队列风险降低,而流行病学变化抵消了人口因素的贡献,导致 NPC 发病率和病例持续下降。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8479/10429092/0602bce33259/12885_2023_11296_Fig1_HTML.jpg

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