Selected Articles from This Issue

{"title":"Selected Articles from This Issue","authors":"","doi":"10.1158/1055-9965.epi-32-11-hi","DOIUrl":null,"url":null,"abstract":"Highlights| November 01 2023 Selected Articles from This Issue Author & Article Information Online ISSN: 1538-7755 Print ISSN: 1055-9965 ©2023 American Association for Cancer Research2023American Association for Cancer Research Cancer Epidemiol Biomarkers Prev (2023) 32 (11): 1475. https://doi.org/10.1158/1055-9965.EPI-32-11-HI Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Article Versions Icon Versions Version of Record November 1 2023 Citation Selected Articles from This Issue. Cancer Epidemiol Biomarkers Prev 1 November 2023; 32 (11): 1475. https://doi.org/10.1158/1055-9965.EPI-32-11-HI Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search Advanced Search This study by Forjaz and colleagues is the first comprehensive analysis of long-term incidence and survival trends for several cancer sites by stage. The authors created a new variable, Long-Term Site-Specific Summary Stage, and applied it to 25 cancer sites to allow analyses of long-term cancer incidence and survival trends by stage from as early as 1975. They report remarkable improvements in cancer survival since 1975, namely for cancers that have traditionally had a poor prognosis and no organized screening programs, which likely reflect advances in managing and treating these cancers. This study will be particularly useful for understanding the population-level impact of new treatments and identifying emerging trends in health disparities research. Risk prediction models may improve effective and efficient use of supplemental surveillance imaging for individuals with a personal history of breast cancer. However, using risk models to guide supplemental imaging recommendations may contribute to disparities. Using simulation... You do not currently have access to this content.","PeriodicalId":9488,"journal":{"name":"Cancer Epidemiology, Biomarkers & Prevention","volume":"285 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Epidemiology, Biomarkers & Prevention","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1158/1055-9965.epi-32-11-hi","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Highlights| November 01 2023 Selected Articles from This Issue Author & Article Information Online ISSN: 1538-7755 Print ISSN: 1055-9965 ©2023 American Association for Cancer Research2023American Association for Cancer Research Cancer Epidemiol Biomarkers Prev (2023) 32 (11): 1475. https://doi.org/10.1158/1055-9965.EPI-32-11-HI Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Article Versions Icon Versions Version of Record November 1 2023 Citation Selected Articles from This Issue. Cancer Epidemiol Biomarkers Prev 1 November 2023; 32 (11): 1475. https://doi.org/10.1158/1055-9965.EPI-32-11-HI Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search Advanced Search This study by Forjaz and colleagues is the first comprehensive analysis of long-term incidence and survival trends for several cancer sites by stage. The authors created a new variable, Long-Term Site-Specific Summary Stage, and applied it to 25 cancer sites to allow analyses of long-term cancer incidence and survival trends by stage from as early as 1975. They report remarkable improvements in cancer survival since 1975, namely for cancers that have traditionally had a poor prognosis and no organized screening programs, which likely reflect advances in managing and treating these cancers. This study will be particularly useful for understanding the population-level impact of new treatments and identifying emerging trends in health disparities research. Risk prediction models may improve effective and efficient use of supplemental surveillance imaging for individuals with a personal history of breast cancer. However, using risk models to guide supplemental imaging recommendations may contribute to disparities. Using simulation... You do not currently have access to this content.
本期精选文章
亮点| 2023年11月1日本刊文章精选作者与文章信息在线ISSN: 1538-7755印刷ISSN: 1055-9965©2023美国癌症研究协会2023美国癌症研究协会癌症流行病学生物标志物Prev(2023) 32(11): 1475。https://doi.org/10.1158/1055-9965.EPI-32-11-HI查看图标查看文章内容图表和表格视频音频补充数据同行评审共享图标共享Facebook Twitter LinkedIn电子邮件工具图标工具获得权限引用图标引用搜索网站文章版本图标版本记录版本2023年11月1日引用本问题选定的文章。2023年11月1日;32(11): 1475。https://doi.org/10.1158/1055-9965.EPI-32-11-HI下载引文文件:Ris (Zotero)参考文献管理器EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex工具栏搜索搜索下拉菜单工具栏搜索搜索输入搜索输入自动建议搜索高级搜索这项由Forjaz及其同事进行的研究首次全面分析了几种癌症部位分期的长期发病率和生存趋势。作者创造了一个新的变量,长期部位特异性总结阶段,并将其应用于25个癌症部位,以便从1975年开始分析长期癌症发病率和分期生存趋势。他们报告说,自1975年以来,癌症存活率有了显著提高,特别是对于那些传统上预后不佳、没有组织筛查项目的癌症,这可能反映了管理和治疗这些癌症的进步。这项研究将特别有助于了解新疗法对人口水平的影响,并确定健康差异研究中的新趋势。对于有乳腺癌病史的个体,风险预测模型可以提高辅助监测成像的有效性和效率。然而,使用风险模型来指导补充成像建议可能会导致差异。使用模拟……您目前没有访问此内容的权限。
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