Literature DB >> 17032890

Changing patterns in breast cancer incidence trends.

Theodore R Holford1, Kathleen A Cronin, Angela B Mariotto, Eric J Feuer.   

Abstract

Incidence rates for breast cancer in U.S. women have steadily increased for decades, but the reasons are not well understood. A recent upturn in these trends suggests that one component may be the effect of more aggressive screening in the population. The age-period-cohort framework, in which the temporal components associated with year of diagnosis and generation are evaluated, can assist in interpreting the elements associated with these trends. A unique approach for exploring other ways of partitioning the contribution of the different temporal components is described and applied to breast cancer incidence data (ICDO 174.0-174.9) from the Surveillance, Epidemiology and End Results (SEER) registries. Single-year intervals for age and year of diagnosis were used to fit models that provide estimates of the trends associated with the individual temporal elements. A log-linear model for age, period, and cohort was fitted using Poisson regression, and estimates of the separate time trends were calculated. The trends with period increased after 1982, when more aggressive screening began, and the trend is steeper for women older than 40 years. Cohort trends have increased steadily, although recent cohorts appear to be somewhat flat for women aged 50 years or younger, whereas the trend for those older than 50 years have continued to increase. Estimates of cohort trends in rates are also provided by extrapolating what would have occurred had there been no period trend before or after 1982, thus providing an estimate of the magnitude of the upturn that occurred after the recent emphasis on screening.

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Year:  2006        PMID: 17032890     DOI: 10.1093/jncimonographs/lgj016

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  49 in total

1.  Collaborative Modeling of the Benefits and Harms Associated With Different U.S. Breast Cancer Screening Strategies.

Authors:  Jeanne S Mandelblatt; Natasha K Stout; Clyde B Schechter; Jeroen J van den Broek; Diana L Miglioretti; Martin Krapcho; Amy Trentham-Dietz; Diego Munoz; Sandra J Lee; Donald A Berry; Nicolien T van Ravesteyn; Oguzhan Alagoz; Karla Kerlikowske; Anna N A Tosteson; Aimee M Near; Amanda Hoeffken; Yaojen Chang; Eveline A Heijnsdijk; Gary Chisholm; Xuelin Huang; Hui Huang; Mehmet Ali Ergun; Ronald Gangnon; Brian L Sprague; Sylvia Plevritis; Eric Feuer; Harry J de Koning; Kathleen A Cronin
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

2.  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

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.  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

5.  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

6.  The Dana-Farber CISNET Model for Breast Cancer Screening Strategies: An Update.

Authors:  Sandra J Lee; Xiaoxue Li; Hui Huang; Marvin Zelen
Journal:  Med Decis Making       Date:  2018-04       Impact factor: 2.583

7.  Breast cancer in Portugal: Temporal trends and age-specific incidence by geographic regions.

Authors:  Gonçalo Forjaz de Lacerda; Scott P Kelly; Joana Bastos; Clara Castro; Alexandra Mayer; Angela B Mariotto; William F Anderson
Journal:  Cancer Epidemiol       Date:  2018-03-13       Impact factor: 2.984

8.  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

9.  The University of Wisconsin Breast Cancer Epidemiology Simulation Model: An Update.

Authors:  Oguzhan Alagoz; Mehmet Ali Ergun; Mucahit Cevik; Brian L Sprague; Dennis G Fryback; Ronald E Gangnon; John M Hampton; Natasha K Stout; Amy Trentham-Dietz
Journal:  Med Decis Making       Date:  2018-04       Impact factor: 2.583

10.  Are incidence rates of adult leukemia in the United States significantly associated with birth cohort?

Authors:  Philip S Rosenberg; Katherine L Wilson; William F Anderson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10-12       Impact factor: 4.254

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