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Grant Details

Grant Number: 5U01CA199335-04 Interpret this number
Primary Investigator: Zauber, Ann
Organization: Sloan-Kettering Inst Can Research
Project Title: Comparative Modeling of Colorectal Cancer: Informing Health Policies and Prioritizing Future Research
Fiscal Year: 2018
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 DESCRIPTION (provided by applicant): Colorectal cancer (CRC) is the second leading cause of cancer death in the United States. The long-term goal of our proposed project is to reduce the population burden of CRC by providing the information needed to address key policy questions and prioritize future research. To accomplish this goal we will use our population- based microsimulation models to: 1) Inform emerging issues in health policy across the CRC-control spectrum; 2) Guide CRC research priorities and study design using a value of information (VOI) framework; and 3) Engage stakeholders, train modelers, and promote model transparency to ensure high-quality evaluation of CRC control measures, now and in the future. Our team will fill critical gaps in knowledge, enabling decision makers to act. Important gaps in knowledge include the impact of failures in screening and treatment processes on CRC burden; the potential to safely reduce screening and surveillance intensity among some patients based on currently available tools for risk-stratification; the potential benefit of new targeted screening approaches based on patient-level information (i.e., "precision medicine"); and the importance of clinical management of diminutive polyps. The three participating modeling groups are well-positioned to carry out this work, bringing a wealth of experience, expertise, and insight to issues related to microsimulation modeling of CRC, and have a proven track record of collaborating and disseminating our work to health policy decision makers.

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Potential Bias Associated with Modeling the Effectiveness of Healthcare Interventions in Reducing Mortality Using an Overall Hazard Ratio.
Authors: Alarid-Escudero F. , Kuntz K.M. .
Source: PharmacoEconomics, 2019-11-22; , .
EPub date: 2019-11-22.
PMID: 31755032
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A Need for Change! A Coding Framework for Improving Transparency in Decision Modeling.
Authors: Alarid-Escudero F. , Krijkamp E.M. , Pechlivanoglou P. , Jalal H. , Kao S.Z. , Yang A. , Enns E.A. .
Source: PharmacoEconomics, 2019 Nov; 37(11), p. 1329-1339.
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Cost-Effectiveness of Colonoscopy-Based Colorectal Cancer Screening in Childhood Cancer Survivors.
Authors: Gini A. , Meester R.G.S. , Keshavarz H. , Oeffinger K.C. , Ahmed S. , Hodgson D.C. , Lansdorp-Vogelaar I. .
Source: Journal of the National Cancer Institute, 2019-11-01; 111(11), p. 1161-1169.
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Authors: Peterse E.F.P. , Naber S.K. , Daly C. , Pollett A. , Paszat L.F. , Spaander M.C.W. , Aronson M. , Gryfe R. , Rabeneck L. , Lansdorp-Vogelaar I. , et al. .
Source: Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2019-10-17; , .
EPub date: 2019-10-17.
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Trends in Incidence and Stage at Diagnosis of Colorectal Cancer in Adults Aged 40 Through 49 Years, 1975-2015.
Authors: Meester R.G.S. , Mannalithara A. , Lansdorp-Vogelaar I. , Ladabaum U. .
Source: JAMA, 2019-05-21; 321(19), p. 1933-1934.
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"Time Traveling Is Just Too Dangerous" but Some Methods Are Worth Revisiting: The Advantages of Expected Loss Curves Over Cost-Effectiveness Acceptability Curves and Frontier.
Authors: Alarid-Escudero F. , Enns E.A. , Kuntz K.M. , Michaud T.L. , Jalal H. .
Source: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2019 05; 22(5), p. 611-618.
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Authors: Young G.P. , Rabeneck L. , Winawer S.J. .
Source: Gastroenterology, 2019 03; 156(4), p. 843-851.e2.
EPub date: 2019-02-16.
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The Curve of Optimal Sample Size (COSS): A Graphical Representation of the Optimal Sample Size from a Value of Information Analysis.
Authors: Jutkowitz E. , Alarid-Escudero F. , Kuntz K.M. , Jalal H. .
Source: PharmacoEconomics, 2019 07; 37(7), p. 871-877.
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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; 19(1), p. 3.
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Optimizing colorectal cancer screening by race and sex: Microsimulation analysis II to inform the American Cancer Society colorectal cancer screening guideline.
Authors: Meester R.G.S. , Peterse E.F.P. , Knudsen A.B. , de Weerdt A.C. , Chen J.C. , Lietz A.P. , Dwyer A. , Ahnen D.J. , Siegel R.L. , Smith R.A. , et al. .
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The impact of the rising colorectal cancer incidence in young adults on the optimal age to start screening: Microsimulation analysis I to inform the American Cancer Society colorectal cancer screening guideline.
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Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial.
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Authors: Peterse E.F.P. , Meester R.G.S. , Gini A. , Doubeni C.A. , Anderson D.S. , Berger F.G. , Zauber A.G. , Lansdorp-Vogelaar I. .
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Effect of Time to Diagnostic Testing for Breast, Cervical, and Colorectal Cancer Screening Abnormalities on Screening Efficacy: A Modeling Study.
Authors: Rutter C.M. , Kim J.J. , Meester R.G.S. , Sprague B.L. , Burger E.A. , Zauber A.G. , Ergun M.A. , Campos N.G. , Doubeni C.A. , Trentham-Dietz A. , et al. .
Source: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2018 02; 27(2), p. 158-164.
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Cost Effectiveness of Screening Individuals With Cystic Fibrosis for Colorectal Cancer.
Authors: Gini A. , Zauber A.G. , Cenin D.R. , Omidvari A.H. , Hempstead S.E. , Fink A.K. , Lowenfels A.B. , Lansdorp-Vogelaar I. .
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Cost Effectiveness of Age-Specific Screening Intervals for People With Family Histories of Colorectal Cancer.
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Harms, benefits and costs of fecal immunochemical testing versus guaiac fecal occult blood testing for colorectal cancer screening.
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Consequences of Increasing Time to Colonoscopy Examination After Positive Result From Fecal Colorectal Cancer Screening Test.
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