医学
乳腺癌
转化研究
癌症
梅德林
医学物理学
选择(遗传算法)
病理
人工智能
内科学
计算机科学
政治学
法学
作者
Deborah J. Bowen,Eileen H. Shinn,Sophie Gregrowski,Gretchen Kimmick,Laura S. Dominici,Elizabeth S. Frank,Karen L. Smith,Gabrielle B. Rocque,Kathryn J. Ruddy,Teri Pollastro,Michelle Melisko,Tarah J. Ballinger,Oluwadamilola M. Fayanju,Antonio C. Wolff
出处
期刊:Cancer
[Wiley]
日期:2019-11-19
卷期号:126 (5): 922-930
被引量:6
摘要
Members of the Translational Breast Cancer Research Consortium conducted an expert‐driven literature review to identify a list of domains and to evaluate potential measures of these domains for inclusion in a list of preferred measures. Measures were included if they were easily available, free of charge, and had acceptable psychometrics based on published peer‐reviewed analyses. A total of 22 domains and 52 measures were identified during the selection process. Taken together, these measures form a reliable and validated list of measurement tools that are easily available and used in multiple cancer trials to assess patient‐reported outcomes in relevant patients.
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