L. Cayuela , S. Cabrera Fernández , R. Roldán Testillano , M. Ortega Calvo , A. Cayuela
{"title":"绘制西班牙睾丸癌死亡率的区域差异(2004-2023年)。","authors":"L. Cayuela , S. Cabrera Fernández , R. Roldán Testillano , M. Ortega Calvo , A. Cayuela","doi":"10.1016/j.acuroe.2025.501800","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>This study investigates testicular cancer (TC) mortality trends and spatial patterns in Spain, utilizing provincial-level spatial analysis to identify high-risk clusters.</div></div><div><h3>Methods</h3><div><span><span>An ecological study was conducted using TC mortality data (ICD-10 code C62) from the Spanish National Institute of Statistics (2004–2023). Age-standardized </span>mortality rates<span> (ASMRs) were calculated using the direct method. Temporal trends were analyzed with joinpoint regression. Spatial patterns were assessed using standardized mortality ratios (SMR), smoothed </span></span>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":94291,"journal":{"name":"Actas urologicas espanolas","volume":"49 7","pages":"Article 501800"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping regional disparities in testicular cancer mortality across Spain (2004–2023)\",\"authors\":\"L. Cayuela , S. Cabrera Fernández , R. Roldán Testillano , M. Ortega Calvo , A. Cayuela\",\"doi\":\"10.1016/j.acuroe.2025.501800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>This study investigates testicular cancer (TC) mortality trends and spatial patterns in Spain, utilizing provincial-level spatial analysis to identify high-risk clusters.</div></div><div><h3>Methods</h3><div><span><span>An ecological study was conducted using TC mortality data (ICD-10 code C62) from the Spanish National Institute of Statistics (2004–2023). Age-standardized </span>mortality rates<span> (ASMRs) were calculated using the direct method. Temporal trends were analyzed with joinpoint regression. Spatial patterns were assessed using standardized mortality ratios (SMR), smoothed </span></span>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>\",\"PeriodicalId\":94291,\"journal\":{\"name\":\"Actas urologicas espanolas\",\"volume\":\"49 7\",\"pages\":\"Article 501800\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Actas urologicas espanolas\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2173578625001258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Actas urologicas espanolas","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2173578625001258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mapping regional disparities in testicular cancer mortality across Spain (2004–2023)
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.