Literature DB >> 33223536

A case-control study to evaluate the impact of the breast screening programme on mortality in England.

Roberta Maroni1, Nathalie J Massat1, Dharmishta Parmar1, Amanda Dibden1, Jack Cuzick1, Peter D Sasieni2, Stephen W Duffy3.   

Abstract

BACKGROUND: Over the past 30 years since the implementation of the National Health Service Breast Screening Programme, improvements in diagnostic techniques and treatments have led to the need for an up-to-date evaluation of its benefit on risk of death from breast cancer. An initial pilot case-control study in London indicated that attending mammography screening led to a mortality reduction of 39%.
METHODS: Based on the same study protocol, an England-wide study was set up. Women aged 47-89 years who died of primary breast cancer in 2010 or 2011 were selected as cases (8288 cases). When possible, two controls were selected per case (15,202 controls) and were matched by date of birth and screening area.
RESULTS: Conditional logistic regressions showed a 38% reduction in breast cancer mortality after correcting for self-selection bias (OR 0.62, 95% CI 0.56-0.69) for women being screened at least once. Secondary analyses by age group, and time between last screen and breast cancer diagnosis were also performed.
CONCLUSIONS: According to this England-wide case-control study, mammography screening still plays an important role in lowering the risk of dying from breast cancer. Women aged 65 or over see a stronger and longer lasting benefit of screening compared to younger women.

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Year:  2020        PMID: 33223536      PMCID: PMC7884709          DOI: 10.1038/s41416-020-01163-2

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  2 in total

1.  Development and evaluation of a method for tumor growth simulation in virtual clinical trials of breast cancer screening.

Authors:  Hanna Tomic; Anna Bjerkén; Gustav Hellgren; Kristin Johnson; Daniel Förnvik; Sophia Zackrisson; Anders Tingberg; Magnus Dustler; Predrag R Bakic
Journal:  J Med Imaging (Bellingham)       Date:  2022-06-06

Review 2.  The Role of Artificial Intelligence in Early Cancer Diagnosis.

Authors:  Benjamin Hunter; Sumeet Hindocha; Richard W Lee
Journal:  Cancers (Basel)       Date:  2022-03-16       Impact factor: 6.639

  2 in total

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