Literature DB >> 21119071

Race-specific impact of natural history, mammography screening, and adjuvant treatment on breast cancer mortality rates in the United States.

Nicolien T van Ravesteyn1, Clyde B Schechter, Aimee M Near, Eveline A M Heijnsdijk, Michael A Stoto, Gerrit Draisma, Harry J de Koning, Jeanne S Mandelblatt.   

Abstract

BACKGROUND: U.S. Black women have higher breast cancer mortality rates than White women despite lower incidence. The aim of this study is to investigate how much of the mortality disparity can be attributed to racial differences in natural history, uptake of mammography screening, and use of adjuvant therapy.
METHODS: Two simulation models use common national race, and age-specific data for incidence, screening and treatment dissemination, stage distributions, survival, and competing mortality from 1975 to 2010. Treatment effectiveness and mammography sensitivity are assumed to be the same for both races. We sequentially substituted Black parameters into the White model to identify parameters that drive the higher mortality for Black women in the current time period.
RESULTS: Both models accurately reproduced observed breast cancer incidence, stage and tumor size distributions, and breast cancer mortality for White women. The higher mortality for Black women could be attributed to differences in natural history parameters (26-44%), use of adjuvant therapy (11-19%), and uptake of mammography screening (7-8%), leaving 38% to 46% unexplained.
CONCLUSION: Black women appear to have benefited less from cancer control advances than White women, with a greater race-related gap in the use of adjuvant therapy than screening. However, a greater portion of the disparity in mortality appears to be due to differences in natural history and undetermined factors. IMPACT: Breast cancer mortality may be reduced substantially by ensuring that Black women receive equal adjuvant treatment and screening as White women. More research on racial variation in breast cancer biology and treatment utilization is needed. ©2011 AACR.

Entities:  

Mesh:

Year:  2010        PMID: 21119071      PMCID: PMC3075821          DOI: 10.1158/1055-9965.EPI-10-0944

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  45 in total

1.  Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study.

Authors:  Lisa A Carey; Charles M Perou; Chad A Livasy; Lynn G Dressler; David Cowan; Kathleen Conway; Gamze Karaca; Melissa A Troester; Chiu Kit Tse; Sharon Edmiston; Sandra L Deming; Joseph Geradts; Maggie C U Cheang; Torsten O Nielsen; Patricia G Moorman; H Shelton Earp; Robert C Millikan
Journal:  JAMA       Date:  2006-06-07       Impact factor: 56.272

2.  Can mammography screening explain the race difference in stage at diagnosis of breast cancer?

Authors:  B A Jones; S V Kasl; M G Curnen; P H Owens; R Dubrow
Journal:  Cancer       Date:  1995-04-15       Impact factor: 6.860

3.  Trends in breast cancer by race and ethnicity: update 2006.

Authors:  Carol Smigal; Ahmedin Jemal; Elizabeth Ward; Vilma Cokkinides; Robert Smith; Holly L Howe; Michael Thun
Journal:  CA Cancer J Clin       Date:  2006 May-Jun       Impact factor: 508.702

4.  Trends in use of adjuvant multi-agent chemotherapy and tamoxifen for breast cancer in the United States: 1975-1999.

Authors:  Angela Mariotto; Eric J Feuer; Linda C Harlan; Lap-Ming Wun; Karen A Johnson; Jeffrey Abrams
Journal:  J Natl Cancer Inst       Date:  2002-11-06       Impact factor: 13.506

5.  Does utilization of screening mammography explain racial and ethnic differences in breast cancer?

Authors:  Rebecca Smith-Bindman; Diana L Miglioretti; Nicole Lurie; Linn Abraham; Rachel Ballard Barbash; Jodi Strzelczyk; Mark Dignan; William E Barlow; Cherry M Beasley; Karla Kerlikowske
Journal:  Ann Intern Med       Date:  2006-04-18       Impact factor: 25.391

6.  Impact of access and social context on breast cancer stage at diagnosis.

Authors:  J Mandelblatt; H Andrews; R Kao; R Wallace; J Kerner
Journal:  J Health Care Poor Underserved       Date:  1995

7.  Missed opportunities: racial disparities in adjuvant breast cancer treatment.

Authors:  Nina A Bickell; Jason J Wang; Soji Oluwole; Deborah Schrag; Henry Godfrey; Karen Hiotis; Jane Mendez; Amber A Guth
Journal:  J Clin Oncol       Date:  2006-03-20       Impact factor: 44.544

8.  Benefits and costs of interventions to improve breast cancer outcomes in African American women.

Authors:  Jeanne S Mandelblatt; Clyde B Schechter; K Robin Yabroff; William Lawrence; James Dignam; Peter Muennig; Yoko Chavez; Jennifer Cullen; Marianne Fahs
Journal:  J Clin Oncol       Date:  2004-06-01       Impact factor: 44.544

9.  The association between obesity and screening mammography accuracy.

Authors:  Joann G Elmore; Patricia A Carney; Linn A Abraham; William E Barlow; Joseph R Egger; Jessica S Fosse; Gary R Cutter; R Edward Hendrick; Carl J D'Orsi; Prashni Paliwal; Stephen H Taplin
Journal:  Arch Intern Med       Date:  2004-05-24

10.  Differences in breast cancer stage, treatment, and survival by race and ethnicity.

Authors:  Christopher I Li; Kathleen E Malone; Janet R Daling
Journal:  Arch Intern Med       Date:  2003-01-13
View more
  35 in total

1.  Computational modeling and multilevel cancer control interventions.

Authors:  Joseph P Morrissey; Kristen Hassmiller Lich; Rebecca Anhang Price; Jeanne Mandelblatt
Journal:  J Natl Cancer Inst Monogr       Date:  2012-05

2.  A population-based study of ethnicity and breast cancer stage at diagnosis in Ontario.

Authors:  O M Ginsburg; H D Fischer; B R Shah; L Lipscombe; L Fu; G M Anderson; P A Rochon
Journal:  Curr Oncol       Date:  2015-04       Impact factor: 3.677

3.  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

4.  Disparities in breast cancer survival in the United States (2001-2009): Findings from the CONCORD-2 study.

Authors:  Jacqueline W Miller; Judith Lee Smith; A Blythe Ryerson; Thomas C Tucker; Claudia Allemani
Journal:  Cancer       Date:  2017-12-15       Impact factor: 6.860

5.  Worse Breast Cancer Outcomes for Southern Nevadans, Filipina and Black Women.

Authors:  Karen E Callahan; Paulo S Pinheiro; Nevena Cvijetic; Rachel E Kelly; Carmen P Ponce; Erin N Kobetz
Journal:  J Immigr Minor Health       Date:  2017-12

Review 6.  Missteps in Current Estimates of Cancer Overdiagnosis.

Authors:  Christoph I Lee; Ruth Etzioni
Journal:  Acad Radiol       Date:  2016-11-25       Impact factor: 3.173

7.  Socioeconomic disparities in breast cancer treatment among older women.

Authors:  Arica White; Lisa C Richardson; Helen Krontiras; Maria Pisu
Journal:  J Womens Health (Larchmt)       Date:  2013-12-19       Impact factor: 2.681

8.  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

9.  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

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.