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JNCI Monographs 2006 2006(36):1-2; doi:10.1093/jncimonographs/lgj001
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© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org.

Executive Summary

Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Collaborators,

Correspondence to: Eric J. Feuer, PhD, Statistical Research and Applications Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, 6116 Executive Blvd., Rm. 5041 MSC 8317, Bethesda, MD 20892-8317 (e-mail: feuerr@mail.nih.gov).

The first 10% of the full text of this article appears below.

Mortality from breast cancer has been declining in the U.S. population since 1990. Although many have attributed this decline to more women participating in mammography screening, some leaders in clinical medicine think that most of the mortality decline is due to improvements in adjuvant therapies. A consortium of researchers participating in the Cancer Intervention and Surveillance Modeling Network (CISNET) (Table 1) address this issue through the use of statistical and simulation modeling to quantify the relative impact of adjuvant therapy and screening mammography on . . . [Full Text of this Article]


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