Grant Details
Grant Number: |
5U01CA199218-05 Interpret this number |
Primary Investigator: |
Mandelblatt, Jeanne |
Organization: |
Georgetown University |
Project Title: |
Comparative Modeling: Informing Breast Cancer Control Practice and Policy |
Fiscal Year: |
2019 |
Abstract
DESCRIPTION (provided by applicant): The CISNET Breast Working Group (BWG) proposes innovative modeling research focused on challenges in early detection and clinical management that are expected to re-define breast cancer control best practices. The specific aims of this research are to: 1) evaluate the population impact of using polygenic risk to inform screening strategies; 2) assess use of emerging new imaging technologies for population screening; 3) evaluate use of active surveillance for the clinical management of screen-detected DCIS; 4) evaluate the impact of new molecular pathway- and genomic-targeted treatment paradigms in the adjuvant and recurrence settings; and 5) synthesize the methods to quantify the relative contributions of these new paradigms for screening and clinical management on US mortality trends for the general population and risk-stratified subpopulations. These aims encompass four RFA priority areas, and we have set aside funds to address three additional emerging areas (international cancer control planning, cancer disparities, and cancer-specific priority areas [e.g, trials of local recurrence]). Based on unique features, the investigators will work in teams of 3-4
models to address these aims so that the topics can be evaluated efficiently within the project period. This scope of work would not be feasible without the availability of six distinctive BWG models. The BWG models include: Dana Farber (D), Erasmus (E), Georgetown-Einstein (GE), MD Anderson (M), Stanford (S) and Wisconsin-Harvard (W). These modeling teams have been continuously funded for the past 14 years. Their collaboration has been very productive, including publication of 162 research papers, and conduct of modeling to inform public health policy decisions. For this proposal, the BWG will partner with: the Breast Cancer Surveillance Consortium (BCSC); the American College of Radiology Imaging Network (ACRIN); the Genetic Associations and Mechanisms in Oncology (GAME-ON) researchers; the Canadian Partnership Against Cancer; the Evaluation of Genomic Applications in Practice and Prevention (EGAPP); the Athena DCIS registry; the Population-based Research Optimizing Screening though Personalized Regimens (PROSPR) program; the Cancer Research Network (CRN); and international groups. An experienced Coordinating Center provides the infrastructure to support the project goals. This exceedingly strong collaborative environment provides for unprecedented synergy and leveraging of resources to address new research questions that would not be possible outside of this setting. We will deploy novel statistical approaches to jointly estimate DCIS natural history parameters and calculate progression-free survival and survival post-progression. A unique component includes providing model results for use in an extant DCIS clinical management decision aid. Finally, we include formal training opportunities. Overall, this research will advance modeling research and continue to guide breast cancer control policy.
Publications
Bayesian Learning of Personalized Longitudinal Biomarker Trajectory.
Authors: Zhou S.
, Huang X.
, Shen C.
, Kantarjian H.M.
.
Source: Annals Of Data Science, 2024 Jun; 11(3), p. 1031-1050.
EPub date: 2023-08-01 00:00:00.0.
PMID: 38855634
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Analysis of Breast Cancer Mortality in the US-1975 to 2019.
Authors: Caswell-Jin J.L.
, Sun L.P.
, Munoz D.
, Lu Y.
, Li Y.
, Huang H.
, Hampton J.M.
, Song J.
, Jayasekera J.
, Schechter C.
, et al.
.
Source: Jama, 2024-01-16 00:00:00.0; 331(3), p. 233-241.
PMID: 38227031
Related Citations
Using simulation modeling to guide policy to reduce disparities and achieve equity in cancer outcomes: state of the science and a road map for the future.
Authors: Mandelblatt J.
, Meza R.
, Trentham-Dietz A.
, Heckman-Stoddard B.
, Feuer E.
.
Source: Journal Of The National Cancer Institute. Monographs, 2023-11-08 00:00:00.0; 2023(62), p. 159-166.
PMID: 37947330
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Opportunities, challenges, and future directions for simulation modeling the effects of structural racism on cancer mortality in the United States: a scoping review.
Authors: Jayasekera J.
, El Kefi S.
, Fernandez J.R.
, Wojcik K.M.
, Woo J.M.P.
, Ezeani A.
, Ish J.L.
, Bhattacharya M.
, Ogunsina K.
, Chang C.J.
, et al.
.
Source: Journal Of The National Cancer Institute. Monographs, 2023-11-08 00:00:00.0; 2023(62), p. 231-245.
PMID: 37947336
Related Citations
Population simulation modeling of disparities in US breast cancer mortality.
Authors: Mandelblatt J.S.
, Schechter C.B.
, Stout N.K.
, Huang H.
, Stein S.
, Hunter Chapman C.
, Trentham-Dietz A.
, Jayasekera J.
, Gangnon R.E.
, Hampton J.M.
, et al.
.
Source: Journal Of The National Cancer Institute. Monographs, 2023-11-08 00:00:00.0; 2023(62), p. 178-187.
PMID: 37947337
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Breast cancer risk characteristics of women undergoing whole-breast ultrasound screening versus mammography alone.
Authors: Sprague B.L.
, Ichikawa L.
, Eavey J.
, Lowry K.P.
, Rauscher G.
, O'Meara E.S.
, Miglioretti D.L.
, Chen S.
, Lee J.M.
, Stout N.K.
, et al.
.
Source: Cancer, 2023-06-12 00:00:00.0; , .
EPub date: 2023-06-12 00:00:00.0.
PMID: 37303202
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A Randomized Trial of Telephone-Based Smoking Cessation Treatment in the Lung Cancer Screening Setting.
Authors: Taylor K.L.
, Williams R.M.
, Li T.
, Luta G.
, Smith L.
, Davis K.M.
, Stanton C.
, Niaura R.
, Abrams D.
, Lobo T.
, et al.
.
Source: Journal Of The National Cancer Institute, 2022-07-12 00:00:00.0; , .
EPub date: 2022-07-12 00:00:00.0.
PMID: 35818122
Related Citations
The Early Detection of Breast Cancer Using Liquid Biopsies: Model Estimates of the Benefits, Harms, and Costs.
Authors: van der Poort E.K.J.
, van Ravesteyn N.T.
, van den Broek J.J.
, de Koning H.J.
.
Source: Cancers, 2022-06-15 00:00:00.0; 14(12), .
EPub date: 2022-06-15 00:00:00.0.
PMID: 35740615
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Simulation modeling of breast cancer endocrine therapy duration by patient and tumor characteristics.
Authors: Chandler Y.
, Schechter C.
, Jayasekera J.
, Isaacs C.
, Kurian A.W.
, Cadham C.
, Mandelblatt J.
.
Source: Cancer Medicine, 2021-12-16 00:00:00.0; , .
EPub date: 2021-12-16 00:00:00.0.
PMID: 34918484
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Identifying Equitable Screening Mammography Strategies for Black Women in the United States Using Simulation Modeling.
Authors: Chapman C.H.
, Schechter C.B.
, Cadham C.J.
, Trentham-Dietz A.
, Gangnon R.E.
, Jagsi R.
, Mandelblatt J.S.
.
Source: Annals Of Internal Medicine, 2021 12; 174(12), p. 1637-1646.
EPub date: 2021-10-19 00:00:00.0.
PMID: 34662151
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Effect of a Randomized Trial of a Web-Based Intervention on Patient-Provider Communication About Breast Density.
Authors: Bowles E.J.A.
, O'Neill S.C.
, Li T.
, Knerr S.
, Mandelblatt J.S.
, Schwartz M.D.
, Jayasekera J.
, Leppig K.
, Ehrlich K.
, Farrell D.
, et al.
.
Source: Journal Of Women's Health (2002), 2021 11; 30(11), p. 1529-1537.
EPub date: 2021-09-28 00:00:00.0.
PMID: 34582721
Related Citations
Brief Report: Impact of joint lung cancer screening and cessation interventions under the new USPSTF recommendations.
Authors: Meza R.
, Cao P.
, Jeon J.
, Taylor K.L.
, Mandelblatt J.S.
, Feuer E.J.
, Lowy D.R.
.
Source: Journal Of Thoracic Oncology : Official Publication Of The International Association For The Study Of Lung Cancer, 2021-10-11 00:00:00.0; , .
EPub date: 2021-10-11 00:00:00.0.
PMID: 34648947
Related Citations
Development and Validation of a Simulation Model-Based Clinical Decision Tool: Identifying Patients Where 21-Gene Recurrence Score Testing May Change Decisions.
Authors: Jayasekera J.
, Sparano J.A.
, O'Neill S.
, Chandler Y.
, Isaacs C.
, Kurian A.W.
, Kushi L.
, Schechter C.B.
, Mandelblatt J.
.
Source: Journal Of Clinical Oncology : Official Journal Of The American Society Of Clinical Oncology, 2021-09-10 00:00:00.0; 39(26), p. 2893-2902.
EPub date: 2021-07-12 00:00:00.0.
PMID: 34251881
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Estimating the natural progression of non-invasive ductal carcinoma in situ breast cancer lesions using screening data.
Authors: Weedon-Fekjær H.
, Li X.
, Lee S.
.
Source: Journal Of Medical Screening, 2021 09; 28(3), p. 302-310.
EPub date: 2020-08-27 00:00:00.0.
PMID: 32854582
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Recent Changes in the Patterns of Breast Cancer as a Proportion of All Deaths according to Race and Ethnicity.
Authors: Trentham-Dietz A.
, Chapman C.H.
, Bird J.
, Gangnon R.E.
.
Source: Epidemiology (cambridge, Mass.), 2021-06-21 00:00:00.0; , .
EPub date: 2021-06-21 00:00:00.0.
PMID: 34172689
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Modeling Strategies to Optimize Cancer Screening in USPSTF Guideline-Noncompliant Women.
Authors: Taksler G.B.
, Peterse E.F.P.
, Willems I.
, Ten Haaf K.
, Jansen E.E.L.
, de Kok I.M.C.M.
, van Ravesteyn N.T.
, de Koning H.J.
, Lansdorp-Vogelaar I.
.
Source: Jama Oncology, 2021-06-01 00:00:00.0; 7(6), p. 885-894.
PMID: 33914025
Related Citations
Reflecting on 20 years of breast cancer modeling in CISNET: Recommendations for future cancer systems modeling efforts.
Authors: Trentham-Dietz A.
, Alagoz O.
, Chapman C.
, Huang X.
, Jayasekera J.
, van Ravesteyn N.T.
, Lee S.J.
, Schechter C.B.
, Yeh J.M.
, Plevritis S.K.
, et al.
.
Source: Plos Computational Biology, 2021 Jun; 17(6), p. e1009020.
EPub date: 2021-06-17 00:00:00.0.
PMID: 34138842
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Cost-effectiveness analysis of breast cancer screening using mammography in Singapore: a modelling study.
Authors: Chootipongchaivat S.
, Wong X.Y.
, Ten Haaf K.
, Hartman M.
, Tan K.B.
, van Ravesteyn N.T.
, Wee H.L.
.
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2021-02-02 00:00:00.0; , .
EPub date: 2021-02-02 00:00:00.0.
PMID: 33531436
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Cost-effectiveness of Digital Breast Tomosynthesis in Population-based Breast Cancer Screening: A Probabilistic Sensitivity Analysis.
Authors: Sankatsing V.D.V.
, Juraniec K.
, Grimm S.E.
, Joore M.A.
, Pijnappel R.M.
, de Koning H.J.
, van Ravesteyn N.T.
.
Source: Radiology, 2020 Oct; 297(1), p. 40-48.
EPub date: 2020-08-04 00:00:00.0.
PMID: 32749212
Related Citations
Personalizing Breast Cancer Screening Based on Polygenic Risk and Family History.
Authors: van den Broek J.J.
, Schechter C.B.
, van Ravesteyn N.T.
, Janssens A.C.J.W.
, Wolfson M.C.
, Trentham-Dietz A.
, Simard J.
, Easton D.F.
, Mandelblatt J.S.
, Kraft P.
, et al.
.
Source: Journal Of The National Cancer Institute, 2020-08-27 00:00:00.0; , .
EPub date: 2020-08-27 00:00:00.0.
PMID: 32853342
Related Citations
Clinical Benefits, Harms, and Cost-Effectiveness of Breast Cancer Screening for Survivors of Childhood Cancer Treated With Chest Radiation: A Comparative Modeling Study.
Authors: Yeh J.M.
, Lowry K.P.
, Schechter C.B.
, Diller L.R.
, Alagoz O.
, Armstrong G.T.
, Hampton J.M.
, Leisenring W.
, Liu Q.
, Mandelblatt J.S.
, et al.
.
Source: Annals Of Internal Medicine, 2020-07-07 00:00:00.0; , .
EPub date: 2020-07-07 00:00:00.0.
PMID: 32628531
Related Citations
Risk stratification in breast cancer screening: Cost-effectiveness and harm-benefit ratios for low-risk and high-risk women.
Authors: Sankatsing V.D.V.
, van Ravesteyn N.T.
, Heijnsdijk E.A.M.
, Broeders M.J.M.
, de Koning H.J.
.
Source: International Journal Of Cancer, 2020-06-02 00:00:00.0; , .
EPub date: 2020-06-02 00:00:00.0.
PMID: 32484237
Related Citations
Modeling the natural history of ductal carcinoma in situ based on population data.
Authors: Chootipongchaivat S.
, van Ravesteyn N.T.
, Li X.
, Huang H.
, Weedon-Fekjær H.
, Ryser M.D.
, Weaver D.L.
, Burnside E.S.
, Heckman-Stoddard B.M.
, de Koning H.J.
, et al.
.
Source: Breast Cancer Research : Bcr, 2020-05-27 00:00:00.0; 22(1), p. 53.
EPub date: 2020-05-27 00:00:00.0.
PMID: 32460821
Related Citations
Dynamic prediction of time to a clinical event with sparse and irregularly measured longitudinal biomarkers.
Authors: Zhu Y.
, Huang X.
, Li L.
.
Source: Biometrical Journal. Biometrische Zeitschrift, 2020-03-20 00:00:00.0; , .
EPub date: 2020-03-20 00:00:00.0.
PMID: 32196728
Related Citations
Long-term Outcomes and Cost-effectiveness of Breast Cancer Screening with Digital Breast Tomosynthesis in the United States.
Authors: Lowry K.P.
, Trentham-Dietz A.
, Schechter C.B.
, Alagoz O.
, Barlow W.E.
, Burnside E.S.
, Conant E.F.
, Hampton J.M.
, Huang H.
, Kerlikowske K.
, et al.
.
Source: Journal Of The National Cancer Institute, 2019-09-10 00:00:00.0; , .
EPub date: 2019-09-10 00:00:00.0.
PMID: 31503283
Related Citations
Smoking cessation interventions for potential use in the lung cancer screening setting: A systematic review and meta-analysis.
Authors: Cadham C.J.
, Jayasekera J.C.
, Advani S.M.
, Fallon S.J.
, Stephens J.L.
, Braithwaite D.
, Jeon J.
, Cao P.
, Levy D.T.
, Meza R.
, et al.
.
Source: Lung Cancer (amsterdam, Netherlands), 2019 Sep; 135, p. 205-216.
EPub date: 2019-07-06 00:00:00.0.
PMID: 31446996
Related Citations
Effect of screening mammography on breast cancer mortality: Quasi-experimental evidence from rollout of the Dutch population-based program with 17-year follow-up of a cohort.
Authors: Van Ourti T.
, O'Donnell O.
, Koç H.
, Fracheboud J.
, de Koning H.J.
.
Source: International Journal Of Cancer, 2019-07-22 00:00:00.0; , .
EPub date: 2019-07-22 00:00:00.0.
PMID: 31330046
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Expected Monetary Impact of Oncotype DX Score-Concordant Systemic Breast Cancer Therapy Based on the TAILORx Trial.
Authors: Mariotto A.
, Jayasekerea J.
, Petkov V.
, Schechter C.B.
, Enewold L.
, Helzlsouer K.J.
, Feuer E.J.
, Mandelblatt J.S.
.
Source: Journal Of The National Cancer Institute, 2019-04-24 00:00:00.0; , .
EPub date: 2019-04-24 00:00:00.0.
PMID: 31165854
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Landmark Linear Transformation Model for Dynamic Prediction with Application to a Longitudinal Cohort Study of Chronic Disease.
Authors: Zhu Y.
, Li L.
, Huang X.
.
Source: Journal Of The Royal Statistical Society. Series C, Applied Statistics, 2019 Apr; 68(3), p. 771-791.
EPub date: 2018-12-23 00:00:00.0.
PMID: 31467454
Related Citations
Cancer Outcomes in DCIS Patients Without Locoregional Treatment.
Authors: Ryser M.D.
, Weaver D.L.
, Zhao F.
, Worni M.
, Grimm L.J.
, Gulati R.
, Etzioni R.
, Hyslop T.
, Lee S.J.
, Hwang E.S.
.
Source: Journal Of The National Cancer Institute, 2019-02-13 00:00:00.0; , .
EPub date: 2019-02-13 00:00:00.0.
PMID: 30759222
Related Citations
Evidence-based sizing of non-inferiority trials using decision models.
Authors: Lansdorp-Vogelaar I.
, Jagsi R.
, Jayasekera J.
, Stout N.K.
, Mitchell S.A.
, Feuer E.J.
.
Source: Bmc Medical Research Methodology, 2019-01-07 00:00:00.0; 19(1), p. 3.
EPub date: 2019-01-07 00:00:00.0.
PMID: 30612554
Related Citations
A clinical trial design with covariate-adjusted response-adaptive randomization using superiority confidence of treatments.
Authors: Qiao W.
, Ning J.
, Huang X.
.
Source: Statistics In Biopharmaceutical Research, 2019; 11(4), p. 336-347.
EPub date: 2019-09-24 00:00:00.0.
PMID: 34113421
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Effects of Radiotherapy in Early-Stage, Low-Recurrence Risk, Hormone-Sensitive Breast Cancer.
Authors: Jayasekera J.
, Schechter C.B.
, Sparano J.A.
, Jagsi R.
, White J.
, Chapman J.W.
, Whelan T.
, Anderson S.J.
, Fyles A.W.
, Sauerbrei W.
, et al.
.
Source: Journal Of The National Cancer Institute, 2018-12-01 00:00:00.0; 110(12), p. 1370-1379.
PMID: 30239794
Related Citations
Change in Survival in Metastatic Breast Cancer with Treatment Advances: Meta-Analysis and Systematic Review.
Authors: Caswell-Jin J.L.
, Plevritis S.K.
, Tian L.
, Cadham C.J.
, Xu C.
, Stout N.K.
, Sledge G.W.
, Mandelblatt J.S.
, Kurian A.W.
.
Source: Jnci Cancer Spectrum, 2018 Nov; 2(4), p. pky062.
EPub date: 2018-12-24 00:00:00.0.
PMID: 30627694
Related Citations
Identification of the Fraction of Indolent Tumors and Associated Overdiagnosis in Breast Cancer Screening Trials.
Authors: Ryser M.D.
, Gulati R.
, Eisenberg M.C.
, Shen Y.
, Hwang E.S.
, Etzioni R.B.
.
Source: American Journal Of Epidemiology, 2018-10-16 00:00:00.0; , .
EPub date: 2018-10-16 00:00:00.0.
PMID: 30325415
Related Citations
Simulation Modeling of Cancer Clinical Trials: Application to Omitting Radiotherapy in Low-risk Breast Cancer.
Authors: Jayasekera J.
, Li Y.
, Schechter C.B.
, Jagsi R.
, Song J.
, White J.
, Luta G.
, Chapman J.W.
, Feuer E.J.
, Zellars R.C.
, et al.
.
Source: Journal Of The National Cancer Institute, 2018-04-28 00:00:00.0; , .
EPub date: 2018-04-28 00:00:00.0.
PMID: 29718314
Related Citations
Structure, Function, and Applications of the Georgetown-Einstein (GE) Breast Cancer Simulation Model.
Authors: Schechter C.B.
, Near A.M.
, Jayasekera J.
, Chandler Y.
, Mandelblatt J.S.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 66S-77S.
PMID: 29554462
Related Citations
Modeling Ductal Carcinoma In Situ (DCIS): An Overview of CISNET Model Approaches.
Authors: van Ravesteyn N.T.
, van den Broek J.J.
, Li X.
, Weedon-Fekjær H.
, Schechter C.B.
, Alagoz O.
, Huang X.
, Weaver D.L.
, Burnside E.S.
, Punglia R.S.
, et al.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 126S-139S.
PMID: 29554463
Related Citations
Estimating Breast Cancer Survival by Molecular Subtype in the Absence of Screening and Adjuvant Treatment.
Authors: Munoz D.F.
, Plevritis S.K.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 32S-43S.
PMID: 29554464
Related Citations
The Dana-Farber CISNET Model for Breast Cancer Screening Strategies: An Update.
Authors: Lee S.J.
, Li X.
, Huang H.
, Zelen M.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 44S-53S.
PMID: 29554465
Related Citations
Common Model Inputs Used in CISNET Collaborative Breast Cancer Modeling.
Authors: Mandelblatt J.S.
, Near A.M.
, Miglioretti D.L.
, Munoz D.
, Sprague B.L.
, Trentham-Dietz A.
, Gangnon R.
, Kurian A.W.
, Weedon-Fekjaer H.
, Cronin K.A.
, et al.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 9S-23S.
PMID: 29554466
Related Citations
Contribution of Breast Cancer to Overall Mortality for US Women.
Authors: Gangnon R.E.
, Stout N.K.
, Alagoz O.
, Hampton J.M.
, Sprague B.L.
, Trentham-Dietz A.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 24S-31S.
PMID: 29554467
Related Citations
Comparing CISNET Breast Cancer Incidence and Mortality Predictions to Observed Clinical Trial Results of Mammography Screening from Ages 40 to 49.
Authors: van den Broek J.J.
, van Ravesteyn N.T.
, Mandelblatt J.S.
, Huang H.
, Ergun M.A.
, Burnside E.S.
, Xu C.
, Li Y.
, Alagoz O.
, Lee S.J.
, et al.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 140S-150S.
PMID: 29554468
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Simulating the Impact of Risk-Based Screening and Treatment on Breast Cancer Outcomes with MISCAN-Fadia.
Authors: van den Broek J.J.
, van Ravesteyn N.T.
, Heijnsdijk E.A.
, de Koning H.J.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 54S-65S.
PMID: 29554469
Related Citations
The University of Wisconsin Breast Cancer Epidemiology Simulation Model: An Update.
Authors: Alagoz O.
, Ergun M.A.
, Cevik M.
, Sprague B.L.
, Fryback D.G.
, Gangnon R.E.
, Hampton J.M.
, Stout N.K.
, Trentham-Dietz A.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 99S-111S.
PMID: 29554470
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Comparing CISNET Breast Cancer Models Using the Maximum Clinical Incidence Reduction Methodology.
Authors: van den Broek J.J.
, van Ravesteyn N.T.
, Mandelblatt J.S.
, Cevik M.
, Schechter C.B.
, Lee S.J.
, Huang H.
, Li Y.
, Munoz D.F.
, Plevritis S.K.
, et al.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 112S-125S.
PMID: 29554471
Related Citations
Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models.
Authors: Alagoz O.
, Berry D.A.
, de Koning H.J.
, Feuer E.J.
, Lee S.J.
, Plevritis S.K.
, Schechter C.B.
, Stout N.K.
, Trentham-Dietz A.
, Mandelblatt J.S.
, et al.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 3S-8S.
PMID: 29554472
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A Molecular Subtype-Specific Stochastic Simulation Model of US Breast Cancer Incidence, Survival, and Mortality Trends from 1975 to 2010.
Authors: Munoz D.F.
, Xu C.
, Plevritis S.K.
.
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 04; 38(1_suppl), p. 89S-98S.
PMID: 29554473
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Detection and interval cancer rates during the transition from screen-film to digital mammography in population-based screening.
Authors: Sankatsing V.D.V.
, Fracheboud J.
, de Munck L.
, Broeders M.J.M.
, van Ravesteyn N.T.
, Heijnsdijk E.A.M.
, Verbeek A.L.M.
, Otten J.D.M.
, Pijnappel R.M.
, Siesling S.
, et al.
.
Source: Bmc Cancer, 2018-03-05 00:00:00.0; 18(1), p. 256.
EPub date: 2018-03-05 00:00:00.0.
PMID: 29506487
Related Citations
Distinguishing between CISNET model results versus CISNET models.
Authors: Berry D.A.
, de Koning H.J.
, Lee S.J.
, Mandelblatt J.S.
, Plevritis S.K.
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Source: Cancer, 2018-03-01 00:00:00.0; 124(5), p. 1083-1084.
EPub date: 2017-12-26 00:00:00.0.
PMID: 29278430
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