Literature DB >> 26562826

Impact of screening mammography on breast cancer mortality.

Archie Bleyer1, Cornelia Baines2, Anthony B Miller2.   

Abstract

The degree to which observed reductions in breast cancer mortality is attributable to screening mammography has become increasingly controversial. We examined this issue with three fundamentally different approaches: (i) Chronology--the temporal relationship of the onset of breast cancer mortality decline and the national implementation of screening mammography; (ii) Magnitude--the degree to which breast cancer mortality declined relative to the amount (penetration) of screening mammography; (iii) Analogy--the pattern of mortality rate reductions of other cancers for which population screening is not conducted. Chronology and magnitude were assessed with data from Europe and North America, with three methods applied to magnitude. A comparison of eight countries in Europe and North America does not demonstrate a correlation between the penetration of national screening and either the chronology or magnitude of national breast cancer mortality reduction. In the United States, the magnitude of the mortality decline is greater in the unscreened, younger women than in the screened population and regional variation in the rate of breast cancer mortality reduction is not correlated with screening penetrance, either as self-reported or by the magnitude of screening-induced increase in early-stage disease. Analogy analysis of United States data identifies 14 other cancers with a similar distinct onset of mortality reduction for which screening is not performed. These five lines of evidence from three different approaches and additional observations discussed do not support the hypothesis that mammography screening is a primary reason for the breast cancer mortality reduction in Europe and North America.
© 2015 UICC.

Entities:  

Keywords:  breast cancer; mortality benefit; screening mammography

Mesh:

Year:  2015        PMID: 26562826     DOI: 10.1002/ijc.29925

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  16 in total

1.  Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning.

Authors:  Hari M Trivedi; Maryam Panahiazar; April Liang; Dmytro Lituiev; Peter Chang; Jae Ho Sohn; Yunn-Yi Chen; Benjamin L Franc; Bonnie Joe; Dexter Hadley
Journal:  J Digit Imaging       Date:  2019-02       Impact factor: 4.056

Review 2.  Overdiagnosis: An Understudied Issue in Hepatocellular Carcinoma Surveillance.

Authors:  Nicole E Rich; Neehar D Parikh; Amit G Singal
Journal:  Semin Liver Dis       Date:  2017-12-22       Impact factor: 6.115

3.  Assessing predicted age-specific breast cancer mortality rates in 27 European countries by 2020.

Authors:  R Clèries; R M Rooney; M Vilardell; J A Espinàs; T Dyba; J M Borras
Journal:  Clin Transl Oncol       Date:  2017-07-19       Impact factor: 3.405

4.  The "Empowering Latinas to Obtain Breast Cancer Screenings" study: Rationale and design.

Authors:  Yamile Molina; Liliana G San Miguel; Lizeth Tamayo; Casandra Robledo; Carola Sánchez Díaz; Araceli Lucio; Nora Coronado; Carol Estwing Ferrans
Journal:  Contemp Clin Trials       Date:  2018-05-25       Impact factor: 2.226

5.  Improving mammography lesion classification by optimal fusion of handcrafted and deep transfer learning features.

Authors:  Meredith A Jones; Rowzat Faiz; Yuchen Qiu; Bin Zheng
Journal:  Phys Med Biol       Date:  2022-02-21       Impact factor: 3.609

6.  Organized screening detects breast cancer at earlier stage regardless of molecular phenotype.

Authors:  Claire M B Holloway; Li Jiang; Marlo Whitehead; Jennifer M Racz; Patti A Groome
Journal:  J Cancer Res Clin Oncol       Date:  2018-06-16       Impact factor: 4.553

7.  Observed and Predicted Risk of Breast Cancer Death in Randomized Trials on Breast Cancer Screening.

Authors:  Philippe Autier; Mathieu Boniol; Michel Smans; Richard Sullivan; Peter Boyle
Journal:  PLoS One       Date:  2016-04-21       Impact factor: 3.240

8.  Effect of population breast screening on breast cancer mortality up to 2005 in England and Wales: an individual-level cohort study.

Authors:  Louise E Johns; Derek A Coleman; Anthony J Swerdlow; Susan M Moss
Journal:  Br J Cancer       Date:  2016-12-08       Impact factor: 7.640

9.  Breast cancer mortality and associated factors in São Paulo State, Brazil: an ecological analysis.

Authors:  Carmen Simone Grilo Diniz; Alessandra Cristina Guedes Pellini; Adeylson Guimarães Ribeiro; Marcello Vannucci Tedardi; Marina Jorge de Miranda; Michelle Mosna Touso; Oswaldo Santos Baquero; Patrícia Carlos Dos Santos; Francisco Chiaravalloti-Neto
Journal:  BMJ Open       Date:  2017-08-23       Impact factor: 2.692

10.  Teaching cross-cultural design thinking for healthcare.

Authors:  Mafalda Falcão Ferreira; Julia N Savoy; Mia K Markey
Journal:  Breast       Date:  2020-01-06       Impact factor: 4.380

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