{"title":"世贸中心健康登记处 9/11 后癌症患者死亡率的种族和民族差异","authors":"Rebecca D. Kehm, Jiehui Li, James E. Cone","doi":"10.1002/cam4.70071","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Introduction</h3>\n \n <p>There are well-documented racial and ethnic disparities in mortality after cancer in the general population, but less is known about whether disparities also exist in disaster-exposed populations.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We conducted a longitudinal cohort study of 4341 enrollees in the World Trade Center Health Registry (WTCHR) with a first-ever primary invasive cancer diagnosis after 9/11/2001 and followed through 2020. We examined associations of race and ethnicity with all-cause mortality risk and cause-specific mortality risk using multivariable Cox proportional hazards regression models and Fine and Gray's proportional sub-distribution hazards models, respectively. Models were adjusted for baseline characteristics and tumor characteristics. We also examined models further adjusted for socioeconomic status (SES), and we used inverse odds weighting to formally test for mediation by SES.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Compared to non-Hispanic White enrollees with cancer, non-Hispanic Blacks had higher risks for all-cause mortality (adjusted hazard ratio (aHR) = 1.20, 95% CI = 1.02–1.41) and non-cancer mortality (aHR = 1.48, 95% CI = 1.09–2.01) in the full model. In the model without SES, Hispanic enrollees with cancer had higher risks for all-cause mortality (aHR = 1.32, 95% CI = 1.09–1.60) and cancer mortality (aHR = 1.31, 95% CI = 1.05–1.64) compared to non-Hispanic Whites; these associations became not statistically significant in the full model. In the inverse odds weighting analysis, SES explained 24% and 29% of the disparity in all-cause mortality risk observed in non-Hispanic Blacks and Hispanics, respectively, compared to non-Hispanic Whites.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>This study found that there are racial and ethnic disparities in mortality after cancer in the WTCHR. Additional studies are needed to further explore the factors mediating these disparities.</p>\n </section>\n </div>","PeriodicalId":139,"journal":{"name":"Cancer Medicine","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.70071","citationCount":"0","resultStr":"{\"title\":\"Racial and ethnic disparities in mortality among World Trade Center Health Registry enrollees with post-9/11 cancer\",\"authors\":\"Rebecca D. Kehm, Jiehui Li, James E. 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We also examined models further adjusted for socioeconomic status (SES), and we used inverse odds weighting to formally test for mediation by SES.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Compared to non-Hispanic White enrollees with cancer, non-Hispanic Blacks had higher risks for all-cause mortality (adjusted hazard ratio (aHR) = 1.20, 95% CI = 1.02–1.41) and non-cancer mortality (aHR = 1.48, 95% CI = 1.09–2.01) in the full model. In the model without SES, Hispanic enrollees with cancer had higher risks for all-cause mortality (aHR = 1.32, 95% CI = 1.09–1.60) and cancer mortality (aHR = 1.31, 95% CI = 1.05–1.64) compared to non-Hispanic Whites; these associations became not statistically significant in the full model. In the inverse odds weighting analysis, SES explained 24% and 29% of the disparity in all-cause mortality risk observed in non-Hispanic Blacks and Hispanics, respectively, compared to non-Hispanic Whites.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>This study found that there are racial and ethnic disparities in mortality after cancer in the WTCHR. Additional studies are needed to further explore the factors mediating these disparities.</p>\\n </section>\\n </div>\",\"PeriodicalId\":139,\"journal\":{\"name\":\"Cancer Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.70071\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cam4.70071\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cam4.70071","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
引言 在普通人群中,癌症死亡率存在种族和民族差异,这一点有据可查,但对于灾害暴露人群中是否也存在差异却知之甚少。 方法 我们对世贸中心健康登记处 (WTCHR) 的 4341 名登记人员进行了一项纵向队列研究,这些人员在 2001 年 9 月 11 日之后首次诊断出原发性浸润性癌症,并一直跟踪到 2020 年。我们分别使用多变量 Cox 比例危险回归模型和 Fine 与 Gray 的比例子分布危险模型,研究了种族和民族与全因死亡风险和特定病因死亡风险之间的关系。模型根据基线特征和肿瘤特征进行了调整。我们还检验了根据社会经济地位(SES)进一步调整的模型,并使用反比例加权法正式检验了 SES 的中介作用。 结果 在完整模型中,与患有癌症的非西班牙裔白人参保者相比,非西班牙裔黑人的全因死亡率(调整后危险比 (aHR) = 1.20,95% CI = 1.02-1.41)和非癌症死亡率(aHR = 1.48,95% CI = 1.09-2.01)风险更高。在不考虑社会经济地位的模型中,与非西班牙裔白人相比,患有癌症的西班牙裔参保者的全因死亡率(aHR = 1.32,95% CI = 1.09-1.60)和癌症死亡率(aHR = 1.31,95% CI = 1.05-1.64)风险较高;这些关联在完整模型中无统计学意义。在逆几率加权分析中,与非西班牙裔白人相比,非西班牙裔黑人和西班牙裔全因死亡风险的差异分别有 24% 和 29% 是由社会经济地位造成的。 结论 本研究发现,在 WTCHR 中,癌症死亡率存在种族和民族差异。还需要进行更多的研究来进一步探讨造成这些差异的因素。
Racial and ethnic disparities in mortality among World Trade Center Health Registry enrollees with post-9/11 cancer
Introduction
There are well-documented racial and ethnic disparities in mortality after cancer in the general population, but less is known about whether disparities also exist in disaster-exposed populations.
Methods
We conducted a longitudinal cohort study of 4341 enrollees in the World Trade Center Health Registry (WTCHR) with a first-ever primary invasive cancer diagnosis after 9/11/2001 and followed through 2020. We examined associations of race and ethnicity with all-cause mortality risk and cause-specific mortality risk using multivariable Cox proportional hazards regression models and Fine and Gray's proportional sub-distribution hazards models, respectively. Models were adjusted for baseline characteristics and tumor characteristics. We also examined models further adjusted for socioeconomic status (SES), and we used inverse odds weighting to formally test for mediation by SES.
Results
Compared to non-Hispanic White enrollees with cancer, non-Hispanic Blacks had higher risks for all-cause mortality (adjusted hazard ratio (aHR) = 1.20, 95% CI = 1.02–1.41) and non-cancer mortality (aHR = 1.48, 95% CI = 1.09–2.01) in the full model. In the model without SES, Hispanic enrollees with cancer had higher risks for all-cause mortality (aHR = 1.32, 95% CI = 1.09–1.60) and cancer mortality (aHR = 1.31, 95% CI = 1.05–1.64) compared to non-Hispanic Whites; these associations became not statistically significant in the full model. In the inverse odds weighting analysis, SES explained 24% and 29% of the disparity in all-cause mortality risk observed in non-Hispanic Blacks and Hispanics, respectively, compared to non-Hispanic Whites.
Conclusion
This study found that there are racial and ethnic disparities in mortality after cancer in the WTCHR. Additional studies are needed to further explore the factors mediating these disparities.
期刊介绍:
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.