Trial reportBreast cancer research : BCR2012
Modelling the overdiagnosis of breast cancer due to mammography screening in women aged 40 to 49 in the United Kingdom.
Trial report in Breast cancer research : BCR, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Quantifying and monitoring overdiagnosis in cancer screening: a systematic review of methods.BMJ (Clinical research ed.) · 2015Pooled it
- The natural history of ductal carcinoma in situ: development, validation, and estimated outcomes of the SimDCIS model.Breast cancer research and treatment · 2025Article
- Early Mammogram Screening's Impact on Early Breast Cancer Detection in Underserved Populations.Cureus · 2023Article
- Overdiagnosis Due to Screening Mammography for Breast Cancer among Women Aged 40 Years and Over: A Systematic Review and Meta-Analysis.Journal of personalized medicine · 2023Review
- Estimating latent, dynamic processes of breast cancer tumour growth and distant metastatic spread from mammography screening data.Statistical methods in medical research · 2022Observational
- Modeling the mean time to interval cancer after negative results of periodic cancer screening.Statistics in medicine · 2021Article
- Ductal Carcinoma In Situ Biology, Language, and Active Surveillance: A Survey of Breast Radiologists' Knowledge and Opinions.Journal of the American College of Radiology : JACR · 2020Article
- Evaluating the Age-Based Recommendations for Long-Term Follow-Up in Breast Cancer.The oncologist · 2020Article
- Modeling the natural history of ductal carcinoma in situ based on population data.Breast cancer research : BCR · 2020Article
- Overdiagnosis in the population-based organized breast cancer screening program estimated by a non-homogeneous multi-state model: a cohort study using individual data with long-term follow-up.Breast cancer research : BCR · 2018Article
- Modeling Ductal Carcinoma In Situ (DCIS): An Overview of CISNET Model Approaches.Medical decision making : an international journal of the Society for Medical Decision Making · 2018Article
- Screening mammography with special reference to guidelines in South Africa.SA journal of radiology · 2018Review
- Overdiagnosis: epidemiologic concepts and estimation.Epidemiology and health · 2015Article
- Estimating breast cancer mortality reduction and overdiagnosis due to screening for different strategies in the United Kingdom.British journal of cancer · 2014Article
- Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
introductionOverdiagnosis of breast cancer due to mammography screening, defined as the diagnosis of screen-detected cancers that would not have presented clinically in a women's lifetime in the absence of screening, has emerged as a highly contentious issue, as harm caused may question the benefit of mammographic screening. Most studies included women over 50 years old and little information is available for younger women.
methodsWe estimated the overdiagnosis of breast cancer due to screening in women aged 40 to 49 years using data from a randomised trial of annual mammographic screening starting at age 40 conducted in the UK. A six-state Markov model was constructed to estimate the sensitivity of mammography for invasive and in situ breast cancer and the screen-detectable mean sojourn time for non-progressive in situ, progressive in situ, and invasive breast cancer. Then, a 10-state simulation model of cancer progression, screening, and death, was developed to estimate overdiagnosis attributable to screening.
resultsThe sensitivity of mammography for invasive and in situ breast cancers was 90% (95% CI, 72 to 99) and 82% (43 to 99), respectively. The screen-detectable mean sojourn time of preclinical non-progressive and progressive in situ cancers was 1.3 (0.4 to 3.4) and 0.11 (0.05 to 0.19) years, respectively, and 0.8 years (0.6 to 1.2) for preclinical invasive breast cancer. The proportion of screen-detected in situ cancers that were non-progressive was 55% (25 to 77) for the first and 40% (22 to 60) for subsequent screens. In our main analysis, overdiagnosis was estimated as 0.7% of screen-detected cancers. A sensitivity analysis, covering a wide range of alternative scenarios, yielded a range of 0.5% to 2.9%.
conclusionAlthough a high proportion of screen-detected in situ cancers were non-progressive, a majority of these would have presented clinically in the absence of screening. The extent of overdiagnosis due to screening in women aged 40 to 49 was small. Results also suggest annual screening is most suitable for women aged 40 to 49 in the United Kingdom due to short cancer sojourn times.
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