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癌症干预和监测建模网络 (CISNET) 乳腺癌模型简介。

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

机构信息

Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA.

Department of Biostatistics, University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.

出版信息

Med Decis Making. 2018 Apr;38(1_suppl):3S-8S. doi: 10.1177/0272989X17737507.

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.

摘要

癌症干预和监测建模网络(CISNET)乳腺癌工作组是一个由美国国立卫生研究院资助的研究人员组成的联盟,他们使用统计和模拟建模来评估癌症控制干预措施对长期人群水平乳腺癌结局(如发病率和死亡率)的影响,并确定不同的乳腺癌控制策略的影响。自 2000 年以来,CISNET 乳腺癌模型一直得到持续资助。自成立以来,这些模型已经经历了几次更新,以反映对乳腺癌分子基础的理解的进展、常见风险因素的流行率的变化,以及治疗和早期检测技术的改进。本文提供了 CISNET 乳腺癌模型的概述和历史,概述了模型输入随时间的主要变化,并提供了如何使用 CISNET 乳腺癌模型进行政策评估的示例。

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