A critical appraisal of the Canadian National Breast Cancer Screening Study.

Radiology ◽  
1993 ◽  
Vol 189 (3) ◽  
pp. 661-663 ◽  
Author(s):  
N F Boyd ◽  
R A Jong ◽  
M J Yaffe ◽  
D Tritchler ◽  
G Lockwood ◽  
...  
2015 ◽  
Vol 26 (2) ◽  
pp. 342-350 ◽  
Author(s):  
S. H. Heywang-Köbrunner ◽  
I. Schreer ◽  
A. Hacker ◽  
M. R. Noftz ◽  
A. Katalinic

Author(s):  
Kelly Hughes ◽  
David Haynes ◽  
Anne Joseph

The National Breast and Cervical Cancer Early Detection Program (NBCCEDP) of Minnesota, “Sage”, provides breast cancer screening to uninsured women. We introduce a novel mapping technique, spatially adaptive filters (SAFs), to estimate utilization of Sage screening in Minnesota. Sage screenings (N = 74,712) were geocoded. The eligible population was modeled with the RTI synthetic population dataset. Between 2011 and 2015, 36,979 women a year were Sage eligible. Utilization was highly variable across Minnesota (M = 37.2%, range 0% - 131%, SD = 18.7%). This replicable approach modeled utilization rates to the neighborhood-level, allowing Sage to prioritize locations and engage communities.


2009 ◽  
Vol 27 (35) ◽  
pp. 5919-5923 ◽  
Author(s):  
Philippe Autier ◽  
Clarisse Héry ◽  
Jari Haukka ◽  
Mathieu Boniol ◽  
Graham Byrnes

Purpose We assessed changes in advanced cancer incidence and cancer mortality in eight randomized trials of breast cancer screening. Patients and Methods Depending on published data, advanced cancer was defined as cancer ≥ 20 mm in size (four trials), stage II+ (four trials), and ≥ one positive lymph node (one trial). For each trial, we obtained the estimated relative risk (RR) and 95% CI between the intervention and control groups, for both breast cancer mortality and diagnosis of advanced breast cancer. Using a meta-regression approach, log(RR-mortality) was regressed on log(RR-advanced cancer), weighting each trial by the reciprocal of the square of the standard error of log(RR) for mortality. Results RR for advanced breast cancer ranged from 0.69 (95% CI, 0.61 to 0.78) in the Swedish Two-County Trial to 0.97 (95% CI, 0.97 to 1.25) in the Canadian National Breast Screening Study-1 (NBSS-1) trial. Log(RR)s for advanced cancer were highly predictive of log(RR)s for mortality (R2 = 0.95; P < .0001), and the linear regression curve had a slope of 1.00 (95% CI, 0.76 to 1.25) after fixing the intercept to zero. The slope changed only slightly after excluding the Two-County Trial and the Canadian NBSS-1 and NBSS-2 trials. Conclusion In trials on breast cancer screening, for each unit decrease in incidence of advanced breast cancer, there was an equal decrease in breast cancer mortality. Monitoring of incidence of advanced breast cancer may provide information on the current impact of screening on breast cancer mortality in the general population.


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