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

被引：27

作者：

Alagoz, Oguzhan ^{[1
]}

Berry, Donald A. ^{[2
]}

de Koning, Harry J. ^{[4
]}

Feuer, Eric J. ^{[3
]}

Lee, Sandra J. ^{[5
,6
,7
]}

Plevritis, Sylvia K. ^{[8
]}

Schechter, Clyde B. ^{[9
,10
]}

Stout, Natasha K. ^{[11
,12
]}

Trentham-Dietz, Amy ^{[13
,14
]}

Mandelblatt, Jeanne S. ^{[15
,16
]}

机构：

[1] Univ Wisconsin, Dept Ind & Syst Engn, 3242 Mech Engn Bldg,1513 Univ Ave, Madison, WI 53706 USA

[2] Univ Texas MD Anderson Canc Ctr, Dept Biostat, Houston, TX 77030 USA

[3] NCI, Div Canc Control & Populat Sci, Bethesda, MD 20892 USA

[4] Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands

[5] Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02115 USA

[6] Harvard Med Sch, Boston, MA USA

[7] Harvard TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA USA

[8] Stanford Univ, Sch Med, Dept Radiol, Stanford, CA 94305 USA

[9] Albert Einstein Coll Med, Dept Family & Social Med, Bronx, NY 10467 USA

[10] Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Bronx, NY 10467 USA

[11] Harvard Med Sch, Dept Populat Med, Boston, MA USA

[12] Harvard Pilgrim Hlth Care Inst, Boston, MA USA

[13] Univ Wisconsin, Dept Populat Hlth Sci, Madison, WI USA

[14] Univ Wisconsin, Carbone Canc Ctr, Madison, WI USA

[15] Georgetown Univ, Med Ctr, Dept Oncol, Washington, DC 20007 USA

[16] Georgetown Lombardi Comprehens Canc Ctr, Canc Prevent & Control Program, Washington, DC USA

来源：

MEDICAL DECISION MAKING | 2018年 / 38卷

基金：

美国国家卫生研究院;

关键词：

breast cancer control; breast cancer epidemiology; cancer simulation; simulation models; COST-EFFECTIVENESS; BENEFITS; HARMS; AGE;

D O I：

10.1177/0272989X17737507

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页码：3S / 8S

页数：6

共 34 条

[1] The University of Wisconsin Breast Cancer Epidemiology Simulation Model: An Update [J].

Alagoz, Oguzhan ;

Ergun, Mehmet Ali ;

Cevik, Mucahit ;

Sprague, Brian L. ;

Fryback, Dennis G. ;

Gangnon, Ronald E. ;

Hampton, John M. ;

Stout, Natasha K. ;

Trentham-Dietz, Amy .

MEDICAL DECISION MAKING, 2018, 38 :99S-111S

[2] Effect of screening and adjuvant therapy on mortality from breast cancer [J].

Berry, DA ;

Cronin, KA ;

Plevritis, SK ;

Fryback, DG ;

Clarke, L ;

Zelen, M ;

Mandelblatt, JS ;

Yakovlev, AY ;

Habbema, JDF ;

Feuer, EJ .

NEW ENGLAND JOURNAL OF MEDICINE, 2005, 353 (17) :1784-1792

[3]

Cronin KA, 2005, J NATL CANC I MONOGR, P112

[4] Model Transparency and Validation: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-7 [J].

Eddy, David M. ;

Hollingworth, William ;

Caro, J. Jaime ;

Tsevat, Joel ;

McDonald, Kathryn M. ;

Wong, John B. ;

Force, ISPOR-SMDM Modeling Good Res Practices Task .

MEDICAL DECISION MAKING, 2012, 32 (05) :733-743

[5]

Feuer Eric J, 2006, J Natl Cancer Inst Monogr, P2, DOI 10.1093/jncimonographs/lgj002

[6] Contribution of Breast Cancer to Overall Mortality for US Women [J].

Gangnon, Ronald E. ;

Stout, Natasha K. ;

Alagoz, Oguzhan ;

Hampton, John M. ;

Sprague, Brian L. ;

Trentham-Dietz, Amy .

MEDICAL DECISION MAKING, 2018, 38 :24S-31S

[7] A Bayesian Simulation Model for Breast Cancer Screening, Incidence, Treatment, and Mortality [J].

Huang, Xuelin ;

Li, Yisheng ;

Song, Juhee ;

Berry, Donald A. .

MEDICAL DECISION MAKING, 2018, 38 :78S-88S

[8] Personalizing Age of Cancer Screening Cessation Based on Comorbid Conditions: Model Estimates of Harms and Benefits [J].

Lansdorp-Vogelaar, Iris ;

Gulati, Roman ;

Mariotto, Angela B. ;

Schechter, Clyde B. ;

de Carvalho, Tiago M. ;

Knudsen, Amy B. ;

van Ravesteyn, Nicolien T. ;

Heijnsdijk, Eveline A. M. ;

Pabiniak, Chester ;

van Ballegooijen, Marjolein ;

Rutter, Carolyn M. ;

Kuntz, Karen M. ;

Feuer, Eric J. ;

Etzioni, Ruth ;

de Koning, Harry J. ;

Zauber, Ann G. ;

Mandelblatt, Jeanne S. .

ANNALS OF INTERNAL MEDICINE, 2014, 161 (02) :104-+

[9]

Lee SJ, 2018, MED DECIS MAKING, V38, p44S, DOI [10.1177/0272989X17741634, 10.1177/0272989x17741634]

[10] Which strategies reduce breast cancer mortality most? [J].

Mandelblatt, Jeanne ;

van Ravesteyn, Nicolien ;

Schechter, Clyde ;

Chang, Yaojen ;

Huang, An-Tsun ;

Near, Aimee M. ;

de Koning, Harry ;

Jemal, Ahmedin .

CANCER, 2013, 119 (14) :2541-2548

← 1 2 3 4 →