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绘制非洲癌症图谱:利用 GLOBOCAN 2020 估计数据对 34 种癌症进行全面和可比的特征描述。

Mapping Cancer in Africa: A Comprehensive and Comparable Characterization of 34 Cancer Types Using Estimates From GLOBOCAN 2020.

机构信息

University School of Management and Entrepreneurship, Delhi Technological University, New Delhi, India.

Centre for Health Informatics, Computing, and Statistics, Lancaster University, Lancaster, United Kingdom.

出版信息

Front Public Health. 2022 Apr 25;10:839835. doi: 10.3389/fpubh.2022.839835. eCollection 2022.

Abstract

OBJECTIVE

Cancer incidence and mortality rates in Africa are increasing, yet their geographic distribution and determinants are incompletely characterized. The present study aims to establish the spatial epidemiology of cancer burden in Africa and delineate the association between cancer burden and the country-level socioeconomic status. The study also examines the forecasts of the cancer burden for 2040 and evaluates infrastructure availability across all African countries.

METHODS

The estimates of age, sex, and country-specific incidence and mortality of 34 neoplasms in 54 African countries, were procured from GLOBOCAN 2020. Mortality-to-incidence ratio (MIR) was employed as a proxy indicator of 5-year survival rates, and the socioeconomic development of each country was measured using its human development index (HDI). We regressed age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and MIR on HDI using linear regression model to determine the relationship between cancer burden and HDI. Maps were generated for each cancer group for each country in Africa. The data about the cancer infrastructure of African countries were extracted from the WHO Cancer Country Profiles.

RESULTS

In Africa, an estimated 1.1 million new cases [95% uncertainty intervals (UIs) 1.0 - 1.3 million] and 711,429 [611,604 - 827,547] deaths occurred due to neoplasms in 2020. The ASIR was estimated to be 132.1/100,000, varying from 78.4/100,000 (Niger) to 212.5/100,000 (La Réunion) in 2020. The ASMR was 88.8/100,000 in Africa, ranging from 56.6/100,000 in the Republic of the Congo to 139.4/100,000 in Zimbabwe. The MIR of all cancer combined was 0.64 in Africa, varying from 0.49 in Mauritius to 0.78 in The Gambia. HDI had a significant negative correlation with MIR of all cancer groups combined and main cancer groups (prostate, breast, cervical and colorectal). HDI explained 75% of the variation in overall 5-year cancer survival (MIR). By 2040, the burden of all neoplasms combined is forecasted to increase to 2.1 million new cases and 1.4 million deaths in Africa.

CONCLUSION

High cancer mortality rates in Africa demand a holistic approach toward cancer control and management, including, but not limited to, boosting cancer awareness, adopting primary and secondary prevention, mitigating risk factors, improving cancer infrastructure and timely treatment.

摘要

目的

非洲的癌症发病率和死亡率正在上升,但癌症的地域分布和决定因素尚未完全明确。本研究旨在建立非洲癌症负担的空间流行病学,并描绘癌症负担与国家层面社会经济地位之间的关系。该研究还评估了 2040 年癌症负担的预测,并评估了所有非洲国家的基础设施可用性。

方法

从 GLOBOCAN 2020 中获取了 54 个非洲国家中 34 种肿瘤的年龄、性别和国家特异性发病率和死亡率的估计值。死亡率与发病率之比(MIR)被用作 5 年生存率的替代指标,每个国家的社会经济发展水平则使用其人类发展指数(HDI)来衡量。我们使用线性回归模型将年龄标准化发病率(ASIR)、年龄标准化死亡率(ASMR)和 MIR 回归到 HDI 上,以确定癌症负担与 HDI 之间的关系。为非洲每个国家的每个癌症组生成了地图。从世卫组织的癌症国家概况中提取了非洲国家癌症基础设施的数据。

结果

2020 年,非洲估计有 110 万例新发病例[95%置信区间(UI)为 100 万-130 万]和 711429 例死亡[611604 例-827547 例]归因于肿瘤。2020 年,ASIR 估计为 132.1/100000,范围从尼日尔的 78.4/100000 到留尼汪的 212.5/100000。非洲的 ASMR 为 88.8/100000,范围从刚果共和国的 56.6/100000 到津巴布韦的 139.4/100000。所有癌症的 MIR 为 0.64,范围从毛里求斯的 0.49 到冈比亚的 0.78。HDI 与所有癌症组和主要癌症组(前列腺癌、乳腺癌、宫颈癌和结直肠癌)的 MIR 呈显著负相关。HDI 解释了整体 5 年癌症生存率(MIR)变化的 75%。到 2040 年,预计非洲所有恶性肿瘤的负担将增加到 210 万例新发病例和 140 万例死亡。

结论

非洲高癌症死亡率需要采取综合方法来控制和管理癌症,包括但不限于提高癌症意识、采取初级和二级预防措施、减轻风险因素、改善癌症基础设施和及时治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc18/9082420/a381af3908c5/fpubh-10-839835-g0001.jpg

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