Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models
Autor: | Alagoz, O, Berry, DA, de Koning, Harry, Feuer, EJ, Lee, SJ, Plevritis, SK, Schechter, CB, Stout, NK, Trentham-Dietz, A, Mandelblatt, JS, Grp, CBCW |
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Přispěvatelé: | Public Health |
Rok vydání: | 2018 |
Předmět: |
medicine.medical_specialty
business.industry 030503 health policy & services Health Policy Cancer Intervention Psychological intervention Early detection Cancer Breast Cancer Epidemiology medicine.disease Article 03 medical and health sciences 0302 clinical medicine Breast cancer SDG 3 - Good Health and Well-being Medicine Surveillance Modeling Medical physics 030212 general & internal medicine 0305 other medical science business Risk assessment skin and connective tissue diseases |
Zdroj: | Medical Decision Making, 38, 3S-8S. SAGE Publishing |
ISSN: | 0272-989X |
Popis: | 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. |
Databáze: | OpenAIRE |
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