Comparing CISNET Breast Cancer Incidence and Mortality Predictions to Observed Clinical Trial Results of Mammography Screening from Ages 40 to 49

Author:

van den Broek Jeroen J.1,van Ravesteyn Nicolien T.1,Mandelblatt Jeanne S.2,Huang Hui3,Ergun Mehmet Ali4,Burnside Elizabeth S.5,Xu Cong6,Li Yisheng7,Alagoz Oguzhan4,Lee Sandra J.3,Stout Natasha K.8,Song Juhee7,Trentham-Dietz Amy4,Plevritis Sylvia K.6,Moss Sue M.9,de Koning Harry J.1

Affiliation:

1. Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands

2. Department of Oncology, Georgetown-Lombardi Comprehensive Cancer Center, Georgetown University School of Medicine, Washington DC, USA

3. Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, Boston, MA, USA

4. Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA

5. Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA

6. Department of Radiology, School of Medicine, Stanford University, Stanford, CA, USA

7. Department of Biostatistics, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA

8. Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA

9. Department of cancer prevention, Wolfson Institute, Queen Mary University of London, London, UK

Abstract

Background. The UK Age trial compared annual mammography screening of women ages 40 to 49 years with no screening and found a statistically significant breast cancer mortality reduction at the 10-year follow-up but not at the 17-year follow-up. The objective of this study was to compare the observed Age trial results with the Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer model predicted results. Methods. Five established CISNET breast cancer models used data on population demographics, screening attendance, and mammography performance from the Age trial together with extant natural history parameters to project breast cancer incidence and mortality in the control and intervention arm of the trial. Results. The models closely reproduced the effect of annual screening from ages 40 to 49 years on breast cancer incidence. Restricted to breast cancer deaths originating from cancers diagnosed during the intervention phase, the models estimated an average 15% (range across models, 13% to 17%) breast cancer mortality reduction at the 10-year follow-up compared with 25% (95% CI, 3% to 42%) observed in the trial. At the 17-year follow-up, the models predicted 13% (range, 10% to 17%) reduction in breast cancer mortality compared with the non-significant 12% (95% CI, -4% to 26%) in the trial. Conclusions. The models underestimated the effect of screening on breast cancer mortality at the 10-year follow-up. Overall, the models captured the observed long-term effect of screening from age 40 to 49 years on breast cancer incidence and mortality in the UK Age trial, suggesting that the model structures, input parameters, and assumptions about breast cancer natural history are reasonable for estimating the impact of screening on mortality in this age group.

Funder

National Cancer Institute

Publisher

SAGE Publications

Subject

Health Policy

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