文章：

运用贝叶斯映射方法识别头颈癌的农村高发区域

Identifying Rural Hotspots for Head and Neck Cancer Using the Bayesian Mapping Approach

原文发布日期：26 February 2025

DOI: 10.3390/cancers17050819

类型: Article

开放获取: 是

英文摘要：

Background: The Bayesian mapping approach has not been used to identify head and neck cancer hotspots in Australia previously. This study aims to identify rural communities at risk of head and neck cancer (HNC) for targeted prevention programs.Methods: This study included data from 23,853 cases recorded in the Queensland Cancer Register between 1982 and 2018. Outcomes for mapping included incidence, overall mortality, 3-year mortality, and 5-year mortality. Local government areas (LGAs) with a general population aged 15 years and above (according to 2016 census data from the Australian Bureau of Statistics) were utilized for mapping.Results: Of the 59 LGAs with higher-than-average risk, 22 predominantly rural and remote LGAs showed statistically significant higher risks of head and neck cancer occurrence. Estimated median standardized mortality ratios (SMRs) ranged from 0.57 to 3.44 and were higher than the state average in 38 LGAs. Four LGAs had the highest mortality—the Shires of Quilpie, Yarrabah, Murweh, and Hinchinbrook.Conclusions: Whilst reasons for some LGAs exhibiting higher HNC are unknown, Bayesian mapping highlights these rural and remote regions as worthy of further investigation. In conclusion, the Bayesian disease mapping approach is effective in identifying high-risk communities for HNC. Findings from this study will aid in designing targeted screening and interventions for the prevention and management of head and neck cancer in regional and remote communities through support services such as a cancer navigator.

摘要翻译： 

背景：在澳大利亚，贝叶斯映射方法此前尚未用于识别头颈癌热点区域。本研究旨在识别面临头颈癌风险较高的农村社区，以便开展针对性预防项目。 方法：本研究纳入了昆士兰州癌症登记处1982年至2018年间记录的23,853例病例数据。映射结果包括发病率、总死亡率、3年死亡率和5年死亡率。采用澳大利亚统计局2016年人口普查数据中15岁及以上常住人口的当地政府区域进行空间映射分析。 结果：在59个风险高于平均水平的当地政府区域中，22个以农村和偏远地区为主的区域显示出统计学显著的头颈癌高发风险。估计中位标准化死亡率比值介于0.57至3.44之间，其中38个区域的死亡率高于全州平均水平。Quilpie郡、Yarrabah郡、Murweh郡和Hinchinbrook郡四个区域的死亡率最高。 结论：虽然部分区域头颈癌高发的原因尚不明确，但贝叶斯映射方法凸显了这些农村和偏远地区值得进一步调查。贝叶斯疾病映射方法能有效识别头颈癌高风险社区。本研究结果将有助于通过癌症导航员等支持服务，为区域和偏远社区设计针对性的头颈癌筛查、预防和管理干预措施。

原文链接：

Identifying Rural Hotspots for Head and Neck Cancer Using the Bayesian Mapping Approach