Mapping regional disparities in testicular cancer mortality across Spain (2004–2023)

L. Cayuela , S. Cabrera Fernández , R. Roldán Testillano , M. Ortega Calvo , A. Cayuela
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Abstract

Introduction

This study investigates testicular cancer (TC) mortality trends and spatial patterns in Spain, utilizing provincial-level spatial analysis to identify high-risk clusters.

Methods

An ecological study was conducted using TC mortality data (ICD-10 code C62) from the Spanish National Institute of Statistics (2004–2023). Age-standardized mortality rates (ASMRs) were calculated using the direct method. Temporal trends were analyzed with joinpoint regression. Spatial patterns were assessed using standardized mortality ratios (SMR), smoothed relative risk (RR), and posterior probabilities (PP) through Bayesian hierarchical models. Spatial clustering was examined with Tango’s test and Kulldorff’s likelihood ratio test.

Results

A total of 909 TC deaths were recorded, with ASMRs ranging from 0.14 to 0.26 per 1,000,000 inhabitants. No significant temporal trends were observed. Age-specific mortality showed a bimodal distribution, peaking at ages 35–39 and 85+. The highest SMRs were found in Zamora (2.58), Segovia (2.64), and Soria (2.39), while the lowest were in Madrid (0.66) and Barcelona (0.55). Bayesian spatial analysis identified elevated relative risk in Badajoz (RR 1.6), Huelva (RR 1.47), and Sevilla (RR 1.4). Kulldorff’s analysis revealed a high-mortality cluster in southwestern Spain (Huelva, Sevilla, Badajoz), with a secondary cluster extending to neighbouring provinces.

Conclusions

While TC mortality in Spain remained stable, significant regional disparities exist. High-risk provinces and mortality clusters highlight potential inequalities in healthcare access, socioeconomic conditions, and environmental exposures.

Abstract Image

绘制西班牙睾丸癌死亡率的区域差异(2004-2023年)。
前言:本研究调查了西班牙睾丸癌(TC)死亡率趋势和空间格局,利用省级空间分析来确定高危集群。方法:采用西班牙国家统计局(2004-2023)的TC死亡率数据(ICD-10代码C62)进行生态学研究。采用直接法计算年龄标准化死亡率(ASMRs)。用关节点回归分析时间趋势。通过贝叶斯层次模型,采用标准化死亡率(SMR)、平滑相对风险(RR)和后验概率(PP)评估空间格局。空间聚类分析采用Tango检验和Kulldorff似然比检验。结果:共记录了909例TC死亡,asmr范围为每100万居民0.14至0.26。没有观察到明显的时间趋势。按年龄划分的死亡率呈双峰分布,在35-39岁和85岁以上达到高峰。smr最高的是萨莫拉(2.58)、塞戈维亚(2.64)和索里亚(2.39),最低的是马德里(0.66)和巴塞罗那(0.55)。贝叶斯空间分析发现巴达霍斯(RR 1.6)、韦尔瓦(RR 1.47)和塞维利亚(RR 1.4)的相对风险升高。Kulldorff的分析显示,西班牙西南部(韦尔瓦、塞维利亚、巴达霍斯)有一个高死亡率聚集群,第二个聚集群延伸到邻近省份。结论:西班牙的TC死亡率保持稳定,但存在显著的地区差异。高风险省份和死亡率集群突出了医疗保健获取、社会经济条件和环境暴露方面的潜在不平等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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