医学
卵巢癌
绝经后妇女
前瞻性队列研究
癌症
妇科
内科学
作者
Sudha Sundar,Ridhi Agarwal,Clare Davenport,Katie Scandrett,S. Johnson,Partha Pratim Sengupta,Radhika Selvi-Vikram,Fong Lien Kwong,Susan Mallett,Caroline Rick,Sean Kehoe,D. Timmerman,T. Bourne,Ben Van Calster,Hilary Stobart,Richard D Neal,Usha Menon,A. Gentry-Maharaj,Lauren Sturdy,Ryan Ottridge
出处
期刊:Lancet Oncology
[Elsevier BV]
日期:2024-09-30
卷期号:25 (10): 1371-1386
被引量:30
标识
DOI:10.1016/s1470-2045(24)00406-6
摘要
Multiple risk-prediction models are used in clinical practice to triage patients as being at low risk or high risk of ovarian cancer. In the ROCkeTS study, we aimed to identify the best diagnostic test for ovarian cancer in symptomatic patients, through head-to-head comparisons of risk-prediction models, in a real-world setting. Here, we report the results for the postmenopausal cohort.
科研通智能强力驱动
Strongly Powered by AbleSci AI