Estimates of over-diagnosis of breast cancer due to population-based mammography screening in South Australia after adjustment for lead time effects. (September 2015)

• Record Type: Journal Article
• Authors: Beckmann, Kerri; Duffy, Stephen W; Lynch, John; Hiller, Janet; Farshid, Gelareh; Roder, David
• Is Part Of: Journal of medical screening. Volume 22:Number 3(2015)
• Page Start: 127
• Page End: 135
• Publication Date: 2015-09
• Subjects: Breast cancer -- Mammography screening -- Over-diagnosis; Medical screening -- Periodicals; 362.177
• DOI: 10.1177/0969141315573978
• Languages: English
• ISSNs: 0969-1413

Abstract

Objective: To estimate over-diagnosis due to population-based mammography screening using a lead time adjustment approach, with lead time measures based on symptomatic cancers only. Subjects: Women aged 40–84 in 1989–2009 in South Australia eligible for mammography screening. Methods: Numbers of observed and expected breast cancer cases were compared, after adjustment for lead time. Lead time effects were modelled using age-specific estimates of lead time (derived from interval cancer rates and predicted background incidence, using maximum likelihood methods) and screening sensitivity, projected background breast cancer incidence rates (in the absence of screening), and proportions screened, by age and calendar year. Results: Lead time estimates were 12, 26, 43 and 53 months, for women aged 40–49, 50–59, 60–69 and 70–79 respectively. Background incidence rates were estimated to have increased by 0.9% and 1.2% per year for invasive and all breast cancer. Over-diagnosis among women aged 40–84 was estimated at 7.9% (0.1–12.0%) for invasive cases and 12.0% (5.7–15.4%) when including ductal carcinoma in-situ (DCIS). Conclusions: We estimated 8% over-diagnosis for invasive breast cancer and 12% inclusive of DCIS cancers due to mammography screening among women aged 40–84. These estimates may overstate the extent of over-diagnosis if the increasing prevalence of breast cancer risk factors has led to higher background incidence than projected.