• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

乳腺癌的差异。

Disparities in Breast Cancer.

机构信息

Department of Oncology, Johns Hopkins School of Medicine.

Department of Oncology, Johns Hopkins School of Medicine; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health.

出版信息

Obstet Gynecol Clin North Am. 2022 Mar;49(1):149-165. doi: 10.1016/j.ogc.2021.11.010.

DOI:10.1016/j.ogc.2021.11.010
PMID:35168767
Abstract

In the western world, breast cancer is the most common lethal cancer in women and the second leading cause of cancer death behind lung cancer. When assessing registry data, incidence and mortalty vary significantly by race or ethnicity and by socioeconomic status. There are a number of established risk factors, that effect risk of not just risk of breast cancer overall but the risk of certain molecular subtypes of breast cancer. Other factors in the disparity in outcomes include certain populations experiencing lower quality of care; prevention, screening, diagnosis and treatment.

摘要

在西方世界,乳腺癌是女性最常见的致命癌症,也是仅次于肺癌的第二大癌症死亡原因。在评估登记数据时,发病率和死亡率因种族或民族以及社会经济地位而有很大差异。有许多已确定的风险因素,不仅影响乳腺癌的总体风险,而且还影响某些乳腺癌分子亚型的风险。导致结果差异的其他因素包括某些人群接受的护理质量较低;预防、筛查、诊断和治疗。

相似文献

1
Disparities in Breast Cancer.乳腺癌的差异。
Obstet Gynecol Clin North Am. 2022 Mar;49(1):149-165. doi: 10.1016/j.ogc.2021.11.010.
2
Trends in area-socioeconomic and race-ethnic disparities in breast cancer incidence, stage at diagnosis, screening, mortality, and survival among women ages 50 years and over (1987-2005).50岁及以上女性乳腺癌发病率、诊断时分期、筛查、死亡率和生存率方面的地区社会经济和种族差异趋势(1987 - 2005年)
Cancer Epidemiol Biomarkers Prev. 2009 Jan;18(1):121-31. doi: 10.1158/1055-9965.EPI-08-0679.
3
Disparities in race/ethnicity and socioeconomic status: risk of mortality of breast cancer patients in the California Cancer Registry, 2000-2010.种族/族裔及社会经济地位差异:2000 - 2010年加利福尼亚癌症登记处乳腺癌患者的死亡风险
BMC Cancer. 2013 Oct 2;13:449. doi: 10.1186/1471-2407-13-449.
4
Temporal trends in area socioeconomic disparities in breast-cancer incidence and mortality, 1988-2005.1988-2005 年乳腺癌发病率和死亡率的地区社会经济差异的时间趋势。
Breast Cancer Res Treat. 2010 Jul;122(2):533-43. doi: 10.1007/s10549-009-0729-y. Epub 2010 Jan 7.
5
Health disparities across the breast cancer continuum.乳腺癌全程中的健康差异。
Semin Oncol Nurs. 2015 May;31(2):170-7. doi: 10.1016/j.soncn.2015.02.005. Epub 2015 Feb 16.
6
Socioeconomic factors and breast carcinoma in multicultural women.多元文化背景女性中的社会经济因素与乳腺癌
Cancer. 2000 Mar 1;88(5 Suppl):1256-64. doi: 10.1002/(sici)1097-0142(20000301)88:5+<1256::aid-cncr13>3.0.co;2-3.
7
Inequalities in health? An update on the effect of social deprivation for patients with breast cancer in South East Wales.健康不平等?更新东南威尔士乳腺癌患者社会剥夺状况的影响。
Surgeon. 2019 Apr;17(2):88-96. doi: 10.1016/j.surge.2018.05.004. Epub 2018 Jun 20.
8
Socioeconomic disparities in breast cancer screening among US women: trends from 2000 to 2005.美国女性乳腺癌筛查中的社会经济差异:2000年至2005年的趋势
J Prev Med Public Health. 2008 May;41(3):186-94. doi: 10.3961/jpmph.2008.41.3.186.
9
Breast Cancer Among Special Populations: Disparities in Care Across the Cancer Control Continuum.特殊人群中的乳腺癌:癌症控制连续统一体中护理的差异
Adv Exp Med Biol. 2015;862:39-52. doi: 10.1007/978-3-319-16366-6_4.
10
Regional Variation in Disparities in Breast Cancer Specific Mortality Due to Race/Ethnicity, Socioeconomic Status, and Urbanization.由于种族/民族、社会经济地位和城市化导致的乳腺癌特定死亡率的地区差异。
J Racial Ethn Health Disparities. 2017 Aug;4(4):706-717. doi: 10.1007/s40615-016-0274-4. Epub 2016 Sep 7.

引用本文的文献

1
Single-Cell Sequence and Machine Learning Identify a CD79A+B Cells-Related Transcriptional Signature for Predicting Clinical Outcomes and Immune Microenvironment in Breast Cancer.单细胞测序与机器学习识别出一种与CD79A+B细胞相关的转录特征,用于预测乳腺癌的临床结局和免疫微环境。
Cancer Inform. 2025 Jul 26;24:11769351251360675. doi: 10.1177/11769351251360675. eCollection 2025.
2
Tumor-Associated Macrophage in Breast Tumor Microenvironment.乳腺肿瘤微环境中的肿瘤相关巨噬细胞
Int J Mol Sci. 2025 Jun 21;26(13):5973. doi: 10.3390/ijms26135973.
3
Open-Source Hybrid Large Language Model Integrated System for Extraction of Breast Cancer Treatment Pathway From Free-Text Clinical Notes.
用于从自由文本临床记录中提取乳腺癌治疗路径的开源混合大语言模型集成系统
JCO Clin Cancer Inform. 2025 Jun;9:e2500002. doi: 10.1200/CCI-25-00002. Epub 2025 Jun 27.
4
Machine learning-based detoxification enzymes-related genes prognosis model in breast cancer: immune landscape and clinical significance.基于机器学习的乳腺癌解毒酶相关基因预后模型:免疫格局与临床意义
Discov Oncol. 2025 Jun 23;16(1):1178. doi: 10.1007/s12672-025-02656-3.
5
The value of nanocarbon contrast methylene blue based on dye-based tracer technology in sentinel lymph node biopsy for breast cancer: a systematic review and meta-analysis.基于染料示踪技术的纳米碳对比亚甲蓝在乳腺癌前哨淋巴结活检中的价值:一项系统评价和荟萃分析。
PeerJ. 2025 Jun 11;13:e19546. doi: 10.7717/peerj.19546. eCollection 2025.
6
Molecular Subtypes and Mechanisms of Breast Cancer: Precision Medicine Approaches for Targeted Therapies.乳腺癌的分子亚型与机制:靶向治疗的精准医学方法
Cancers (Basel). 2025 Mar 25;17(7):1102. doi: 10.3390/cancers17071102.
7
Radiomics-clinical nomogram for preoperative tumor-node-metastasis staging prediction in breast cancer patients using dynamic enhanced magnetic resonance imaging.基于动态增强磁共振成像的乳腺癌患者术前肿瘤-淋巴结-转移分期预测的影像组学-临床列线图
Transl Cancer Res. 2025 Mar 30;14(3):1836-1848. doi: 10.21037/tcr-24-1559. Epub 2025 Mar 18.
8
Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer.多中心研究:基于超声的深度学习特征用于预测乳腺癌中的Ki-67表达
Sci Rep. 2025 Mar 25;15(1):10279. doi: 10.1038/s41598-025-94741-4.
9
Dualistic role of ZEB1 and ZEB2 in tumor progression.ZEB1和ZEB2在肿瘤进展中的双重作用。
Biol Direct. 2025 Mar 20;20(1):32. doi: 10.1186/s13062-025-00604-3.
10
Metabolomic Profiling of Disease Progression Following Radiotherapy for Breast Cancer.乳腺癌放疗后疾病进展的代谢组学分析
Cancers (Basel). 2025 Mar 5;17(5):891. doi: 10.3390/cancers17050891.