{"title":"社区社会经济地位与乳腺癌发病率和死亡风险之间的关系:一项大规模队列研究系统回顾和荟萃分析。","authors":"Faramarz Jalili, Mohammad Hajizadeh, Sanaz Mehrabani, Seyed Mojtaba Ghoreishy, Shirley Hodder","doi":"10.1007/s12282-025-01764-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Breast cancer (BC) remains one of the leading causes of cancer-related incidence and mortality globally, with growing evidence suggesting that neighborhood socioeconomic status (n-SES) can influence cancer incidence and survival. However, findings across studies remain inconsistent, and the extent to which n-SES impacts BC outcomes has not been comprehensively understood. A thorough systematic review and meta-analysis were conducted to assess the association of neighborhood socioeconomic status n-SES and BC incidence and mortality risk.</p><p><strong>Methods: </strong>A thorough investigation of existing literature was conducted by applying ISI Web of Science, PubMed/MEDLINE, and Scopus until June 08, 2025. Hazard ratios (HR), along with their respective 95% confidence intervals (CI), were integrated utilizing a random-effects model. A validated approach was utilized for assessing the quality of the studies and identification of publication bias, employing the Newcastle-Ottawa Scale for the assessment of quality, conducting subgroup analyses to identify potential sources of heterogeneity, and applying Egger's regression to detect publication bias and perform sensitivity analyses.</p><p><strong>Results: </strong>A total of 17 studies with 779,352 adult subjects were found. The results revealed no association of significance among disadvantaged n-SES and BC incidence risk (HR = 1.19; 95% CI 0.86, 1.65; I<sup>2</sup> = 97.7%; p = 0.300; n = 10). However, the subgroup analysis reveals an association of significance among disadvantaged n-SES status and a decreased BC incidence risk in case-control studies (vs. cohort studies) (HR = 0.81; 95% CI 0.72, 0.92; I<sup>2</sup> = 0.0%; p = 0.001; n = 2) and for the luminal A cancer sub-type (HR = 0.84; 95% CI 0.73, 0.91; I<sup>2</sup> = 29.3%; p = 0.012; n = 3). In contrast, the subgroup analysis revealed an significance association between disadvantaged n-SES status and an increased BC incidence for HER2 + (HR = 1.46; 95% CI 1.14, 1.78; I<sup>2</sup> = 0.0%; p = 0.002; n = 2) or the triple-negative cancer sub-type (HR = 1.39; 95% CI 1.19, 1.69; I<sup>2</sup> = 41.1%; p < 0.001; n = 4). The results also suggest a significant association between disadvantaged n-SES and a higher BC mortality risk (HR = 1.32; 95% CI 1.16, 1.51; I<sup>2</sup> = 76.4%; p < 0.001; n = 8). Sensitivity analyses and an evaluation of publication bias revealed no significant association with BC incidence or mortality risk.</p><p><strong>Conclusion: </strong>Disadvantaged n-SES is identified as a significant element to higher death rates related to BC. By understanding the root causes of inequalities in BC incidence and mortality across different socioeconomic environments, targeted interventions can be tailored to meet the specific needs of vulnerable individuals, ultimately leading toward improved BC outcomes for those at greatest risk.</p>","PeriodicalId":520574,"journal":{"name":"Breast cancer (Tokyo, Japan)","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The association between neighborhood socioeconomic status and breast cancer incidence and mortality risk: a large-scale cohort studies systematic review and meta-analysis.\",\"authors\":\"Faramarz Jalili, Mohammad Hajizadeh, Sanaz Mehrabani, Seyed Mojtaba Ghoreishy, Shirley Hodder\",\"doi\":\"10.1007/s12282-025-01764-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Breast cancer (BC) remains one of the leading causes of cancer-related incidence and mortality globally, with growing evidence suggesting that neighborhood socioeconomic status (n-SES) can influence cancer incidence and survival. However, findings across studies remain inconsistent, and the extent to which n-SES impacts BC outcomes has not been comprehensively understood. A thorough systematic review and meta-analysis were conducted to assess the association of neighborhood socioeconomic status n-SES and BC incidence and mortality risk.</p><p><strong>Methods: </strong>A thorough investigation of existing literature was conducted by applying ISI Web of Science, PubMed/MEDLINE, and Scopus until June 08, 2025. Hazard ratios (HR), along with their respective 95% confidence intervals (CI), were integrated utilizing a random-effects model. A validated approach was utilized for assessing the quality of the studies and identification of publication bias, employing the Newcastle-Ottawa Scale for the assessment of quality, conducting subgroup analyses to identify potential sources of heterogeneity, and applying Egger's regression to detect publication bias and perform sensitivity analyses.</p><p><strong>Results: </strong>A total of 17 studies with 779,352 adult subjects were found. The results revealed no association of significance among disadvantaged n-SES and BC incidence risk (HR = 1.19; 95% CI 0.86, 1.65; I<sup>2</sup> = 97.7%; p = 0.300; n = 10). However, the subgroup analysis reveals an association of significance among disadvantaged n-SES status and a decreased BC incidence risk in case-control studies (vs. cohort studies) (HR = 0.81; 95% CI 0.72, 0.92; I<sup>2</sup> = 0.0%; p = 0.001; n = 2) and for the luminal A cancer sub-type (HR = 0.84; 95% CI 0.73, 0.91; I<sup>2</sup> = 29.3%; p = 0.012; n = 3). In contrast, the subgroup analysis revealed an significance association between disadvantaged n-SES status and an increased BC incidence for HER2 + (HR = 1.46; 95% CI 1.14, 1.78; I<sup>2</sup> = 0.0%; p = 0.002; n = 2) or the triple-negative cancer sub-type (HR = 1.39; 95% CI 1.19, 1.69; I<sup>2</sup> = 41.1%; p < 0.001; n = 4). The results also suggest a significant association between disadvantaged n-SES and a higher BC mortality risk (HR = 1.32; 95% CI 1.16, 1.51; I<sup>2</sup> = 76.4%; p < 0.001; n = 8). Sensitivity analyses and an evaluation of publication bias revealed no significant association with BC incidence or mortality risk.</p><p><strong>Conclusion: </strong>Disadvantaged n-SES is identified as a significant element to higher death rates related to BC. By understanding the root causes of inequalities in BC incidence and mortality across different socioeconomic environments, targeted interventions can be tailored to meet the specific needs of vulnerable individuals, ultimately leading toward improved BC outcomes for those at greatest risk.</p>\",\"PeriodicalId\":520574,\"journal\":{\"name\":\"Breast cancer (Tokyo, Japan)\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Breast cancer (Tokyo, Japan)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s12282-025-01764-w\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Breast cancer (Tokyo, Japan)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12282-025-01764-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的:乳腺癌(BC)仍然是全球癌症相关发病率和死亡率的主要原因之一,越来越多的证据表明,社区社会经济地位(n-SES)可以影响癌症的发病率和生存率。然而,研究结果仍然不一致,n-SES影响BC结局的程度尚未得到全面了解。进行了全面的系统回顾和荟萃分析,以评估社区社会经济地位n-SES与BC发病率和死亡风险的关系。方法:截至2025年6月8日,应用ISI Web of Science、PubMed/MEDLINE和Scopus对现有文献进行全面调查。利用随机效应模型整合风险比(HR)及其各自的95%置信区间(CI)。采用一种经过验证的方法来评估研究的质量和确定发表偏倚,采用纽卡斯尔-渥太华量表进行质量评估,进行亚组分析以确定潜在的异质性来源,并使用Egger's回归来检测发表偏倚并进行敏感性分析。结果:共纳入17项研究,779352名成人受试者。结果显示,弱势n- ses人群与BC发病风险无显著相关性(HR = 1.19; 95% CI 0.86, 1.65; I2 = 97.7%; p = 0.300; n = 10)。然而,亚组分析显示,在病例对照研究(与队列研究相比)(HR = 0.81; 95% CI 0.72, 0.92; I2 = 0.0%; p = 0.001; n = 2)和腔内a癌亚型(HR = 0.84; 95% CI 0.73, 0.91; I2 = 29.3%; p = 0.012; n = 3)中,处于不利n- ses状态与降低BC发病率风险之间存在显著关联。相比之下,亚组分析显示,不利的n- ses状态与HER2 + (HR = 1.46; 95% CI 1.14, 1.78; I2 = 0.0%; p = 0.002; n = 2)或三阴性癌症亚型(HR = 1.39; 95% CI 1.19, 1.69; I2 = 41.1%; p = 76.4%; p)的BC发病率增加之间存在显著关联。结论:不利的n- ses状态被认为是导致BC相关死亡率升高的重要因素。通过了解不同社会经济环境中BC发病率和死亡率不平等的根本原因,可以定制有针对性的干预措施,以满足弱势群体的特定需求,最终改善高危人群的BC结局。
The association between neighborhood socioeconomic status and breast cancer incidence and mortality risk: a large-scale cohort studies systematic review and meta-analysis.
Purpose: Breast cancer (BC) remains one of the leading causes of cancer-related incidence and mortality globally, with growing evidence suggesting that neighborhood socioeconomic status (n-SES) can influence cancer incidence and survival. However, findings across studies remain inconsistent, and the extent to which n-SES impacts BC outcomes has not been comprehensively understood. A thorough systematic review and meta-analysis were conducted to assess the association of neighborhood socioeconomic status n-SES and BC incidence and mortality risk.
Methods: A thorough investigation of existing literature was conducted by applying ISI Web of Science, PubMed/MEDLINE, and Scopus until June 08, 2025. Hazard ratios (HR), along with their respective 95% confidence intervals (CI), were integrated utilizing a random-effects model. A validated approach was utilized for assessing the quality of the studies and identification of publication bias, employing the Newcastle-Ottawa Scale for the assessment of quality, conducting subgroup analyses to identify potential sources of heterogeneity, and applying Egger's regression to detect publication bias and perform sensitivity analyses.
Results: A total of 17 studies with 779,352 adult subjects were found. The results revealed no association of significance among disadvantaged n-SES and BC incidence risk (HR = 1.19; 95% CI 0.86, 1.65; I2 = 97.7%; p = 0.300; n = 10). However, the subgroup analysis reveals an association of significance among disadvantaged n-SES status and a decreased BC incidence risk in case-control studies (vs. cohort studies) (HR = 0.81; 95% CI 0.72, 0.92; I2 = 0.0%; p = 0.001; n = 2) and for the luminal A cancer sub-type (HR = 0.84; 95% CI 0.73, 0.91; I2 = 29.3%; p = 0.012; n = 3). In contrast, the subgroup analysis revealed an significance association between disadvantaged n-SES status and an increased BC incidence for HER2 + (HR = 1.46; 95% CI 1.14, 1.78; I2 = 0.0%; p = 0.002; n = 2) or the triple-negative cancer sub-type (HR = 1.39; 95% CI 1.19, 1.69; I2 = 41.1%; p < 0.001; n = 4). The results also suggest a significant association between disadvantaged n-SES and a higher BC mortality risk (HR = 1.32; 95% CI 1.16, 1.51; I2 = 76.4%; p < 0.001; n = 8). Sensitivity analyses and an evaluation of publication bias revealed no significant association with BC incidence or mortality risk.
Conclusion: Disadvantaged n-SES is identified as a significant element to higher death rates related to BC. By understanding the root causes of inequalities in BC incidence and mortality across different socioeconomic environments, targeted interventions can be tailored to meet the specific needs of vulnerable individuals, ultimately leading toward improved BC outcomes for those at greatest risk.