Literature DB >> 25492943

Decline in breast cancer mortality: how much is attributable to screening?

Sisse Helle Njor1, Walter Schwartz2, Mogens Blichert-Toft3, Elsebeth Lynge4.   

Abstract

OBJECTIVES: When estimating the decline in breast cancer mortality attributable to screening, the challenge is to provide valid comparison groups and to distinguish the screening effect from other effects. In Funen, Denmark, multidisciplinary breast cancer management teams started before screening was introduced; both activities came later in the rest of Denmark. Because Denmark had national protocols for breast cancer treatment, but hardly any opportunistic screening, Funen formed a "natural experiment", providing valid comparison groups and enabling the separation of the effect of screening from other factors.
METHODS: Using Poisson regression we compared the observed breast cancer mortality rate in Funen after implementation of screening with the expected rate without screening. The latter was estimated from breast cancer mortality in the rest of Denmark controlled for historical differences between Funen/rest of Denmark. As multidisciplinary teams were introduced gradually in the rest of Denmark from 1994, the screening effect was slightly underestimated.
RESULTS: Over 14 years, women targeted by screening in Funen experienced a 22% (95% confidence interval 11%-32%) reduction in breast cancer mortality associated with screening (a reduction in breast cancer mortality rate from 61 to 47 per 100,000). The estimated reduction for participants corrected for selection bias was 28% (13%-41%). Excluding deaths in breast cancer cases diagnosed after end of screening, these numbers became 26% and 31%, respectively.
CONCLUSIONS: There is additional benefit in reducing breast cancer mortality from the early detection of breast cancer through mammographic screening over and above the benefits arising from improvements in treatment alone.
© The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Entities:  

Keywords:  breast cancer; mortality; screening; treatment

Mesh:

Year:  2014        PMID: 25492943     DOI: 10.1177/0969141314563632

Source DB:  PubMed          Journal:  J Med Screen        ISSN: 0969-1413            Impact factor:   2.136


  12 in total

1.  Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.

Authors:  Alexander Ciritsis; Cristina Rossi; Matthias Eberhard; Magda Marcon; Anton S Becker; Andreas Boss
Journal:  Eur Radiol       Date:  2019-03-29       Impact factor: 5.315

2.  Disaggregating the mortality reductions due to cancer screening: model-based estimates from population-based data.

Authors:  James Anthony Hanley; Sisse Helle Njor
Journal:  Eur J Epidemiol       Date:  2017-12-05       Impact factor: 8.082

3.  Colorectal cancer mortality 10 years after a single round of guaiac faecal occult blood test (gFOBT) screening: experiences from a Danish screening cohort.

Authors:  Andreas Bjerrum; Ole Andersen; Anders Fischer; Jan Lindebjerg; Elsebeth Lynge
Journal:  BMJ Open Gastroenterol       Date:  2016-12-07

4.  Mortality reductions due to mammography screening: Contemporary population-based data.

Authors:  James A Hanley; Ailish Hannigan; Katie M O'Brien
Journal:  PLoS One       Date:  2017-12-20       Impact factor: 3.240

5.  Outcome of breast cancer screening in Denmark.

Authors:  Elsebeth Lynge; Martin Bak; My von Euler-Chelpin; Niels Kroman; Anders Lernevall; Nikolaj Borg Mogensen; Walter Schwartz; Adam Jan Wronecki; Ilse Vejborg
Journal:  BMC Cancer       Date:  2017-12-28       Impact factor: 4.430

6.  Benefit-to-harm ratio of the Danish breast cancer screening programme.

Authors:  Anna-Belle Beau; Elsebeth Lynge; Sisse Helle Njor; Ilse Vejborg; Søren Nymand Lophaven
Journal:  Int J Cancer       Date:  2017-05-10       Impact factor: 7.396

Review 7.  Worldwide Review and Meta-Analysis of Cohort Studies Measuring the Effect of Mammography Screening Programmes on Incidence-Based Breast Cancer Mortality.

Authors:  Amanda Dibden; Judith Offman; Stephen W Duffy; Rhian Gabe
Journal:  Cancers (Basel)       Date:  2020-04-15       Impact factor: 6.639

8.  Abbreviated breast MRI for screening women with dense breast: the EA1141 trial.

Authors:  Christiane K Kuhl
Journal:  Br J Radiol       Date:  2017-10-27       Impact factor: 3.039

9.  Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening.

Authors:  Christopher E Comstock; Constantine Gatsonis; Gillian M Newstead; Bradley S Snyder; Ilana F Gareen; Jennifer T Bergin; Habib Rahbar; Janice S Sung; Christina Jacobs; Jennifer A Harvey; Mary H Nicholson; Robert C Ward; Jacqueline Holt; Andrew Prather; Kathy D Miller; Mitchell D Schnall; Christiane K Kuhl
Journal:  JAMA       Date:  2020-02-25       Impact factor: 157.335

10.  Predictors and Trend in Attendance for Breast Cancer Screening in Lithuania, 2006-2014.

Authors:  Vilma Kriaucioniene; Janina Petkeviciene
Journal:  Int J Environ Res Public Health       Date:  2019-11-16       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.