Literature DB >> 29554472

Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models.

Oguzhan Alagoz1, Donald A Berry2, Harry J de Koning3, Eric J Feuer4, Sandra J Lee5, Sylvia K Plevritis6, Clyde B Schechter7, Natasha K Stout8, Amy Trentham-Dietz9, Jeanne S Mandelblatt10.   

Abstract

The Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Working Group is a consortium of National Cancer Institute-sponsored investigators who use statistical and simulation modeling to evaluate the impact of cancer control interventions on long-term population-level breast cancer outcomes such as incidence and mortality and to determine the impact of different breast cancer control strategies. The CISNET breast cancer models have been continuously funded since 2000. The models have gone through several updates since their inception to reflect advances in the understanding of the molecular basis of breast cancer, changes in the prevalence of common risk factors, and improvements in therapy and early detection technology. This article provides an overview and history of the CISNET breast cancer models, provides an overview of the major changes in the model inputs over time, and presents examples for how CISNET breast cancer models have been used for policy evaluation.

Entities:  

Keywords:  breast cancer control; breast cancer epidemiology; cancer simulation; simulation models

Mesh:

Year:  2018        PMID: 29554472      PMCID: PMC5862043          DOI: 10.1177/0272989X17737507

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  27 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

Review 2.  Modeling the impact of adjuvant therapy and screening mammography on U.S. breast cancer mortality between 1975 and 2000: introduction to the problem.

Authors:  Eric J Feuer
Journal:  J Natl Cancer Inst Monogr       Date:  2006

3.  Impact of adjuvant therapy and mammography on U.S. mortality from 1975 to 2000: comparison of mortality results from the cisnet breast cancer base case analysis.

Authors:  Kathleen A Cronin; Eric J Feuer; Lauren D Clarke; Sylvia K Plevritis
Journal:  J Natl Cancer Inst Monogr       Date:  2006

4.  Effects of screening and systemic adjuvant therapy on ER-specific US breast cancer mortality.

Authors:  Diego Munoz; Aimee M Near; Nicolien T van Ravesteyn; Sandra J Lee; Clyde B Schechter; Oguzhan Alagoz; Donald A Berry; Elizabeth S Burnside; Yaojen Chang; Gary Chisholm; Harry J de Koning; Mehmet Ali Ergun; Eveline A M Heijnsdijk; Hui Huang; Natasha K Stout; Brian L Sprague; Amy Trentham-Dietz; Jeanne S Mandelblatt; Sylvia K Plevritis
Journal:  J Natl Cancer Inst       Date:  2014-09-24       Impact factor: 13.506

5.  Comparing CISNET Breast Cancer Incidence and Mortality Predictions to Observed Clinical Trial Results of Mammography Screening from Ages 40 to 49.

Authors:  Jeroen J van den Broek; Nicolien T van Ravesteyn; Jeanne S Mandelblatt; Hui Huang; Mehmet Ali Ergun; Elizabeth S Burnside; Cong Xu; Yisheng Li; Oguzhan Alagoz; Sandra J Lee; Natasha K Stout; Juhee Song; Amy Trentham-Dietz; Sylvia K Plevritis; Sue M Moss; Harry J de Koning
Journal:  Med Decis Making       Date:  2018-04       Impact factor: 2.583

6.  Estimating Breast Cancer Survival by Molecular Subtype in the Absence of Screening and Adjuvant Treatment.

Authors:  Diego F Munoz; Sylvia K Plevritis
Journal:  Med Decis Making       Date:  2018-04       Impact factor: 2.583

7.  Benefits, harms, and cost-effectiveness of supplemental ultrasonography screening for women with dense breasts.

Authors:  Brian L Sprague; Natasha K Stout; Clyde Schechter; Nicolien T van Ravesteyn; Mucahit Cevik; Oguzhan Alagoz; Christoph I Lee; Jeroen J van den Broek; Diana L Miglioretti; Jeanne S Mandelblatt; Harry J de Koning; Karla Kerlikowske; Constance D Lehman; Anna N A Tosteson
Journal:  Ann Intern Med       Date:  2015-02-03       Impact factor: 25.391

8.  Using Simulation Modeling to Inform Strategies to Reduce Breast Cancer Mortality in Black Women in the District of Columbia.

Authors:  Aimee M Near; Jeanne S Mandelblatt; Clyde B Schechter; Michael A Stoto
Journal:  Epidemiol Res Int       Date:  2012-04-26

9.  Model transparency and validation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-7.

Authors:  David M Eddy; William Hollingworth; J Jaime Caro; Joel Tsevat; Kathryn M McDonald; John B Wong
Journal:  Med Decis Making       Date:  2012 Sep-Oct       Impact factor: 2.583

Review 10.  The benefits and harms of breast cancer screening: an independent review.

Authors: 
Journal:  Lancet       Date:  2012-10-30       Impact factor: 79.321

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  14 in total

1.  Embracing the science of value in health.

Authors:  Murray Krahn; Stirling Bryan; Karen Lee; Peter J Neumann
Journal:  CMAJ       Date:  2019-07-02       Impact factor: 8.262

2.  Clinical Benefits, Harms, and Cost-Effectiveness of Breast Cancer Screening for Survivors of Childhood Cancer Treated With Chest Radiation : A Comparative Modeling Study.

Authors:  Jennifer M Yeh; Kathryn P Lowry; Clyde B Schechter; Lisa R Diller; Oguzhan Alagoz; Gregory T Armstrong; John M Hampton; Wendy Leisenring; Qi Liu; Jeanne S Mandelblatt; Diana L Miglioretti; Chaya S Moskowitz; Kevin C Oeffinger; Amy Trentham-Dietz; Natasha K Stout
Journal:  Ann Intern Med       Date:  2020-07-07       Impact factor: 25.391

3.  Breast Cancer Screening Strategies for Women With ATM, CHEK2, and PALB2 Pathogenic Variants: A Comparative Modeling Analysis.

Authors:  Kathryn P Lowry; H Amarens Geuzinge; Natasha K Stout; Oguzhan Alagoz; John Hampton; Karla Kerlikowske; Harry J de Koning; Diana L Miglioretti; Nicolien T van Ravesteyn; Clyde Schechter; Brian L Sprague; Anna N A Tosteson; Amy Trentham-Dietz; Donald Weaver; Martin J Yaffe; Jennifer M Yeh; Fergus J Couch; Chunling Hu; Peter Kraft; Eric C Polley; Jeanne S Mandelblatt; Allison W Kurian; Mark E Robson
Journal:  JAMA Oncol       Date:  2022-04-01       Impact factor: 33.006

4.  Benefits and Harms of Mammography Screening for Women With Down Syndrome: a Collaborative Modeling Study.

Authors:  Oguzhan Alagoz; Ali Hajjar; Sarocha Chootipongchaivat; Nicolien T van Ravesteyn; Jennifer M Yeh; Mehmet Ali Ergun; Harry J de Koning; Brian Chicoine; Barry Martin
Journal:  J Gen Intern Med       Date:  2019-08-05       Impact factor: 5.128

5.  Screening For Colorectal Cancer in the Age of Simulation Models: A Historical Lens.

Authors:  Christopher J Phillips; Robert E Schoen
Journal:  Gastroenterology       Date:  2020-07-16       Impact factor: 22.682

6.  Facilitating cancer systems epidemiology research.

Authors:  Rolando Barajas; Brionna Hair; Gabriel Lai; Melissa Rotunno; Marissa M Shams-White; Elizabeth M Gillanders; Leah E Mechanic
Journal:  PLoS One       Date:  2021-12-31       Impact factor: 3.240

7.  An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening.

Authors:  Luuk A van Duuren; Jonathan Ozik; Remy Spliet; Nicholson T Collier; Iris Lansdorp-Vogelaar; Reinier G S Meester
Journal:  Front Physiol       Date:  2022-01-26       Impact factor: 4.755

Review 8.  Reflecting on 20 years of breast cancer modeling in CISNET: Recommendations for future cancer systems modeling efforts.

Authors:  Amy Trentham-Dietz; Oguzhan Alagoz; Christina Chapman; Xuelin Huang; Jinani Jayasekera; Nicolien T van Ravesteyn; Sandra J Lee; Clyde B Schechter; Jennifer M Yeh; Sylvia K Plevritis; Jeanne S Mandelblatt
Journal:  PLoS Comput Biol       Date:  2021-06-17       Impact factor: 4.475

9.  How simulation modeling can support the public health response to the opioid crisis in North America: Setting priorities and assessing value.

Authors: 
Journal:  Int J Drug Policy       Date:  2020-04-28

10.  The OncoSim-Breast Cancer Microsimulation Model.

Authors:  Jean H E Yong; Claude Nadeau; William M Flanagan; Andrew J Coldman; Keiko Asakawa; Rochelle Garner; Natalie Fitzgerald; Martin J Yaffe; Anthony B Miller
Journal:  Curr Oncol       Date:  2022-03-03       Impact factor: 3.677

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