Collaborative Modeling to Compare Different Breast Cancer Screening Strategies: A Decision Analysis for the US Preventive Services Task Force

Amy Trentham-Dietz, Christina Hunter Chapman, Jinani Jayasekera, Kathryn P. Lowry, Brandy M. Heckman-Stoddard, John M. Hampton, Jennifer L. Caswell-Jin, Ronald E. Gangnon, Ying Lu, Hui Huang, Sarah Stein, Liyang Sun, Eugenio J. Gil Quessep, Yuanliang Yang, Yifan Lu, Juhee Song, Diego F. Muñoz, Yisheng Li, Allison W. Kurian, Karla KerlikowskeEllen S. O'Meara, Brian L. Sprague, Anna N.A. Tosteson, Eric J. Feuer, Donald Berry, Sylvia K. Plevritis, Xuelin Huang, Harry J. De Koning, Nicolien T. Van Ravesteyn, Sandra J. Lee, Oguzhan Alagoz, Clyde B. Schechter, Natasha K. Stout, Diana L. Miglioretti, Jeanne S. Mandelblatt

Research output: Contribution to journalReview articlepeer-review

9 Scopus citations

Abstract

Importance: The effects of breast cancer incidence changes and advances in screening and treatment on outcomes of different screening strategies are not well known. Objective: To estimate outcomes of various mammography screening strategies. Design, Setting, and Population: Comparison of outcomes using 6 Cancer Intervention and Surveillance Modeling Network (CISNET) models and national data on breast cancer incidence, mammography performance, treatment effects, and other-cause mortality in US women without previous cancer diagnoses. Exposures: Thirty-six screening strategies with varying start ages (40, 45, 50 years) and stop ages (74, 79 years) with digital mammography or digital breast tomosynthesis (DBT) annually, biennially, or a combination of intervals. Strategies were evaluated for all women and for Black women, assuming 100% screening adherence and "real-world" treatment. Main Outcomes and Measures: Estimated lifetime benefits (breast cancer deaths averted, percent reduction in breast cancer mortality, life-years gained), harms (false-positive recalls, benign biopsies, overdiagnosis), and number of mammograms per 1000 women. Results: Biennial screening with DBT starting at age 40, 45, or 50 years until age 74 years averted a median of 8.2, 7.5, or 6.7 breast cancer deaths per 1000 women screened, respectively, vs no screening. Biennial DBT screening at age 40 to 74 years (vs no screening) was associated with a 30.0% breast cancer mortality reduction, 1376 false-positive recalls, and 14 overdiagnosed cases per 1000 women screened. Digital mammography screening benefits were similar to those for DBT but had more false-positive recalls. Annual screening increased benefits but resulted in more false-positive recalls and overdiagnosed cases. Benefit-to-harm ratios of continuing screening until age 79 years were similar or superior to stopping at age 74. In all strategies, women with higher-than-average breast cancer risk, higher breast density, and lower comorbidity level experienced greater screening benefits than other groups. Annual screening of Black women from age 40 to 49 years with biennial screening thereafter reduced breast cancer mortality disparities while maintaining similar benefit-to-harm trade-offs as for all women. Conclusions: This modeling analysis suggests that biennial mammography screening starting at age 40 years reduces breast cancer mortality and increases life-years gained per mammogram. More intensive screening for women with greater risk of breast cancer diagnosis or death can maintain similar benefit-to-harm trade-offs and reduce mortality disparities.

Original languageEnglish (US)
Pages (from-to)1947-1960
Number of pages14
JournalJAMA - Journal of the American Medical Association
Volume331
Issue number22
DOIs
StatePublished - Jun 11 2024

ASJC Scopus subject areas

  • General Medicine

Fingerprint

Dive into the research topics of 'Collaborative Modeling to Compare Different Breast Cancer Screening Strategies: A Decision Analysis for the US Preventive Services Task Force'. Together they form a unique fingerprint.

Cite this