Comparative Modeling of Colorectal Cancer: Informing Health Policies and Prioritizing Future Research

结直肠癌的比较模型：为健康政策提供信息并确定未来研究的优先顺序

基本信息

批准号：
9333320
负责人：
KAREN M KUNTZ
金额：
$ 106.91万
依托单位：
SLOAN-KETTERING INST CAN RESEARCH
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-10 至 2020-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9333320
关键词：
Address American Area Cancer Burden Cancer Control Cancer Etiology Cancer Intervention and Surveillance Modeling Network Cancer Model Cessation of life Clinical Management Colorectal Cancer Decision Aid Detection Effectiveness Ensure Evaluation Faculty Failure Future Gastroenterologist Genetic Goals Health Policy Influentials Intervention Knowledge Life Style Light Malignant Neoplasms Measures Methods Modality Modeling National Cancer Institute Natural History Outcome Patients Persons Philosophy Policies Polyps Population Positioning Attribute Process Recommendation Reporting Research Research Design Research Personnel Research Priority Risk Risk Factors Risk stratification Safety Source Code Structure Technology Testing Time Training Uncertainty United States Work adenoma anticancer research base clinical practice colorectal cancer screening comparative comparative cost effectiveness cost experience information framework insight member mortality new technology next generation novel open source population based precision medicine prevent public health relevance research study screening student mentoring tool uptake web based interface

Address American Area Cancer Burden Cancer Control Cancer Etiology Cancer Intervention and Surveillance Modeling Network Cancer Model Cessation of life Clinical Management Colorectal Cancer Decision Aid Detection Effectiveness Ensure Evaluation Faculty Failure Future Gastroenterologist Genetic Goals Health Policy Influentials Intervention Knowledge Life Style Light Malignant Neoplasms Measures Methods Modality Modeling National Cancer Institute Natural History Outcome Patients Persons Philosophy Policies Polyps Population Positioning Attribute Process Recommendation Reporting Research Research Design Research Personnel Research Priority Risk Risk Factors Risk stratification Safety Source Code Structure Technology Testing Time Training Uncertainty United States Work adenoma anticancer research base clinical practice colorectal cancer screening comparative comparative cost effectiveness cost experience information framework insight member mortality new technology next generation novel open source population based precision medicine prevent public health relevance research study screening student mentoring tool uptake web based interface

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项目摘要

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.

描述（通过应用程序提供）：结直肠癌（CRC）是美国癌症死亡的第二大原因。我们提议的项目的长期目标是通过提供解决关键政策问题并优先考虑未来研究所需的信息来减少CRC的人口燃烧。为了实现这一目标，我们将使用基于人群的微仿真模型来：1）在CRC-Control Spectrum范围内为卫生政策的新兴问题提供信息； 2）使用信息值（VOI）框架指导CRC研究的重点和研究设计； 3）吸引利益相关者，火车模型并促进模型透明度，以确保现在和将来对CRC控制措施的高质量评估。我们的团队将填补知识的关键空白，使决策者能够采取行动。知识的重要差距包括筛查和治疗过程中的失败对CRC Burnen的影响；根据当前可用的风险分层工具，可以安全地减少某些患者的筛查和监视强度的潜力；基于患者级信息（即“ Precision Medicine”）的新目标筛查方法的潜在好处；以及小息肉的临床管理的重要性。这三个参与的建模小组的工作良好，可以进行这项工作，为与CRC的显微仿真建模有关的问题带来丰富的经验，专业知识和洞察力，并具有可靠的合作记录和将我们的工作分解为健康政策决策者的记录。