TY - JOUR
T1 - Comparing CISNET Breast Cancer Incidence and Mortality Predictions to Observed Clinical Trial Results of Mammography Screening from Ages 40 to 49
AU - van den Broek, Jeroen J.
AU - van Ravesteyn, Nicolien T.
AU - Mandelblatt, Jeanne S.
AU - Huang, Hui
AU - Ergun, Mehmet Ali
AU - Burnside, Elizabeth S.
AU - Xu, Cong
AU - Li, Yisheng
AU - Alagoz, Oguzhan
AU - Lee, Sandra J.
AU - Stout, Natasha K.
AU - Song, Juhee
AU - Trentham-Dietz, Amy
AU - Plevritis, Sylvia K.
AU - Moss, Sue M.
AU - de Koning, Harry J.
N1 - Publisher Copyright:
© 2017, © The Author(s) 2017.
PY - 2018/4/1
Y1 - 2018/4/1
N2 - 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.
AB - 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.
KW - breast cancer models
KW - CISNET
KW - external validation
KW - mammography trial simulation
UR - http://www.scopus.com/inward/record.url?scp=85044253397&partnerID=8YFLogxK
U2 - 10.1177/0272989X17718168
DO - 10.1177/0272989X17718168
M3 - Article
C2 - 29554468
AN - SCOPUS:85044253397
SN - 0272-989X
VL - 38
SP - 140S-150S
JO - Medical Decision Making
JF - Medical Decision Making
IS - 1_suppl
ER -