Literature DB >> 16049809

Modeling the dissemination of mammography in the United States.

Kathleen A Cronin1, Binbing Yu, Martin Krapcho, Diana L Miglioretti, Michael P Fay, Grant Izmirlian, Rachel Ballard-Barbash, Berta M Geller, Eric J Feuer.   

Abstract

OBJECTIVE: This paper presents a methodology for piecing together disparate data sources to obtain a comprehensive model for the use of mammography screening in the US population for the years 1975-2000.
METHODS: Two aspects of mammography usage, the age that a woman receives her first mammography and the interval between subsequent mammograms, are modeled separately. The initial dissemination of mammography is based on cross-sectional self report data from national surveys and the interval length between screening exams is fit using longitudinal mammography registry data.
RESULTS: The two aspects of mammography usage are combined to simulate screening histories for individual women that are representative of the US population. Simulated mammography patterns for the years 1994-2000 were found to be similar to observed screening patterns from the state level mammography registry for Vermont.
CONCLUSIONS: The model presented gives insight into screening practices over time and provides an alternative public health measure for screening usage in the US population. The comprehensive description of mammography use from its introduction represents an important first step to understanding the impact of mammography on breast cancer incidence and mortality.

Entities:  

Mesh:

Year:  2005        PMID: 16049809     DOI: 10.1007/s10552-005-0693-8

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  37 in total

1.  Association of Screening and Treatment With Breast Cancer Mortality by Molecular Subtype in US Women, 2000-2012.

Authors:  Sylvia K Plevritis; Diego Munoz; Allison W Kurian; Natasha K Stout; Oguzhan Alagoz; Aimee M Near; Sandra J Lee; Jeroen J van den Broek; Xuelin Huang; Clyde B Schechter; Brian L Sprague; Juhee Song; Harry J de Koning; Amy Trentham-Dietz; Nicolien T van Ravesteyn; Ronald Gangnon; Young Chandler; Yisheng Li; Cong Xu; Mehmet Ali Ergun; Hui Huang; Donald A Berry; Jeanne S Mandelblatt
Journal:  JAMA       Date:  2018-01-09       Impact factor: 56.272

2.  Identifying Sociocultural Barriers to Mammography Adherence Among Appalachian Kentucky Women.

Authors:  Elisia L Cohen; Bethney R Wilson; Robin C Vanderpool; Tom Collins
Journal:  Health Commun       Date:  2015-02-10

3.  Cost-effectiveness of digital mammography breast cancer screening.

Authors:  Anna N A Tosteson; Natasha K Stout; Dennis G Fryback; Suddhasatta Acharyya; Benjamin A Herman; Lucy G Hannah; Etta D Pisano
Journal:  Ann Intern Med       Date:  2008-01-01       Impact factor: 25.391

4.  Bias associated with self-report of prior screening mammography.

Authors:  Kathleen A Cronin; Diana L Miglioretti; Martin Krapcho; Binbing Yu; Berta M Geller; Patricia A Carney; Tracy Onega; Eric J Feuer; Nancy Breen; Rachel Ballard-Barbash
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-06       Impact factor: 4.254

5.  Comparative effectiveness of incorporating a hypothetical DCIS prognostic marker into breast cancer screening.

Authors:  Amy Trentham-Dietz; Mehmet Ali Ergun; Oguzhan Alagoz; Natasha K Stout; Ronald E Gangnon; John M Hampton; Kim Dittus; Ted A James; Pamela M Vacek; Sally D Herschorn; Elizabeth S Burnside; Anna N A Tosteson; Donald L Weaver; Brian L Sprague
Journal:  Breast Cancer Res Treat       Date:  2017-11-28       Impact factor: 4.872

6.  Variation in tumor natural history contributes to racial disparities in breast cancer stage at diagnosis.

Authors:  Nataliya G Batina; Amy Trentham-Dietz; Ronald E Gangnon; Brian L Sprague; Marjorie A Rosenberg; Natasha K Stout; Dennis G Fryback; Oguzhan Alagoz
Journal:  Breast Cancer Res Treat       Date:  2013-02-16       Impact factor: 4.872

7.  Structure, Function, and Applications of the Georgetown-Einstein (GE) Breast Cancer Simulation Model.

Authors:  Clyde B Schechter; Aimee M Near; Jinani Jayasekera; Young Chandler; Jeanne S Mandelblatt
Journal:  Med Decis Making       Date:  2018-04       Impact factor: 2.583

8.  Common Model Inputs Used in CISNET Collaborative Breast Cancer Modeling.

Authors:  Jeanne S Mandelblatt; Aimee M Near; Diana L Miglioretti; Diego Munoz; Brian L Sprague; Amy Trentham-Dietz; Ronald Gangnon; Allison W Kurian; Harald Weedon-Fekjaer; Kathleen A Cronin; Sylvia K Plevritis
Journal:  Med Decis Making       Date:  2018-04       Impact factor: 2.583

9.  Simulating the Impact of Risk-Based Screening and Treatment on Breast Cancer Outcomes with MISCAN-Fadia.

Authors:  Jeroen J van den Broek; Nicolien T van Ravesteyn; Eveline A Heijnsdijk; Harry J de Koning
Journal:  Med Decis Making       Date:  2018-04       Impact factor: 2.583

10.  TJ-41 Induces Apoptosis and Potentiates the Apoptotic Effects of 5-FU in Breast Cancer Cell Lines.

Authors:  Suresh Volate; Robert Hudson; Desuo Wang; Stephanie Muga; Michael Wargovich
Journal:  J Oncol       Date:  2009-08-20       Impact factor: 4.375

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.