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

  • on behalf of CISNET Breast Cancer Working Group members

Research output: Contribution to journal › Article › peer-review

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.

Original languageEnglish (US)
Pages (from-to)3S-8S
JournalMedical Decision Making
Volume38
Issue number1_suppl
DOIs
StatePublished - Apr 1 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • breast cancer control
  • breast cancer epidemiology
  • cancer simulation
  • simulation models

ASJC Scopus subject areas

  • Health Policy

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