当前位置:
X-MOL 学术
›
J. Natl. Cancer Inst.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Risk Stratification for Melanoma: Models Derived and Validated in a Purpose-Designed Prospective Cohort
Journal of the National Cancer Institute ( IF 9.9 ) Pub Date : 2018-03-11 , DOI: 10.1093/jnci/djy023 Catherine M Olsen 1, 2 , Nirmala Pandeya 1, 2 , Bridie S Thompson 1 , Jean Claude Dusingize 1 , Penelope M Webb 1, 2 , Adele C Green 1, 3 , Rachel E Neale 1, 2 , David C Whiteman 1, 2 ,
Journal of the National Cancer Institute ( IF 9.9 ) Pub Date : 2018-03-11 , DOI: 10.1093/jnci/djy023 Catherine M Olsen 1, 2 , Nirmala Pandeya 1, 2 , Bridie S Thompson 1 , Jean Claude Dusingize 1 , Penelope M Webb 1, 2 , Adele C Green 1, 3 , Rachel E Neale 1, 2 , David C Whiteman 1, 2 ,
Affiliation
Risk stratification can improve the efficacy and cost-efficiency of screening programs for early detection of cancer. We sought to derive a risk stratification tool for melanoma that was suitable for the general population using only self-reported information.
中文翻译:
黑色素瘤的风险分层:在专门设计的前瞻性队列中衍生和验证的模型
风险分层可以提高用于早期检测癌症的筛查程序的功效和成本效益。我们试图通过仅使用自我报告的信息来得出适合于普通人群的黑色素瘤风险分层工具。
更新日期:2018-03-11
中文翻译:
黑色素瘤的风险分层:在专门设计的前瞻性队列中衍生和验证的模型
风险分层可以提高用于早期检测癌症的筛查程序的功效和成本效益。我们试图通过仅使用自我报告的信息来得出适合于普通人群的黑色素瘤风险分层工具。