
Quantifying performance thresholds for recommending screening mammography: a revealed preference analysis of USPSTF guidelines
Author(s) -
Anand K. Narayan,
Elena B. Elkin,
Constance D. Lehman,
Elizabeth A. Morris
Publication year - 2018
Publication title -
breast cancer research and treatment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.908
H-Index - 154
eISSN - 1573-7217
pISSN - 0167-6806
DOI - 10.1007/s10549-018-4917-5
Subject(s) - medicine , false positive paradox , mammography , breast cancer screening , overdiagnosis , family medicine , breast cancer , gynecology , cancer , statistics , mathematics
During ongoing controversies about mammography screening, many investigators have stated that performance improvements in screening mammography may mitigate concerns about harms. However, there have been few attempts to quantify performance improvements required to recommend mammography screening. Based on USPSTF benchmarks, we utilized revealed preference methods to ascertain quantitative thresholds at which screening mammography would be recommended beyond biennial screening in women 50 and older.