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用于分析美国乳腺癌发病率和死亡率趋势的CISNET乳腺癌模型的比较综述。

A comparative review of CISNET breast models used to analyze U.S. breast cancer incidence and mortality trends.

作者信息

Clarke Lauren D, Plevritis Sylvia K, Boer Rob, Cronin Kathleen A, Feuer Eric J

机构信息

MS, Cornerstone Systems Northwest Inc, Lynden, WA 98264, USA.

出版信息

J Natl Cancer Inst Monogr. 2006(36):96-105. doi: 10.1093/jncimonographs/lgj013.

DOI:10.1093/jncimonographs/lgj013
PMID:17032899
Abstract

The CISNET Breast Cancer program is a National Cancer Institute-sponsored collaboration composed of seven research groups that have modeled the impact of screening and adjuvant treatment on trends in breast cancer incidence and mortality over the period 1975-2000 (base case). This collaboration created a unique opportunity to make direct comparison of results from different models of population-based cancer screening produced in response to the same question. Comparing results in all but the most cursory way necessitates comparison of the models themselves. Previous chapters have discussed the models individual in detail. This chapter will aid the reader in understanding key areas of difference between the models. A focused analysis of differences and similarities between the models is presented with special attention paid to areas deemed most likely to contribute substantially to the results of the target analysis.

摘要

CISNET乳腺癌项目是由美国国立癌症研究所资助的一项合作项目,由七个研究小组组成。这些研究小组对1975 - 2000年期间(基础病例)筛查和辅助治疗对乳腺癌发病率和死亡率趋势的影响进行了建模。这项合作创造了一个独特的机会,可以直接比较针对同一问题所产生的不同基于人群的癌症筛查模型的结果。除了最粗略的方式外,要比较结果就需要对模型本身进行比较。前面的章节已经详细讨论了各个模型。本章将帮助读者理解模型之间的关键差异领域。本文对模型之间的差异和相似性进行了重点分析,特别关注那些被认为最有可能对目标分析结果产生重大影响的领域。

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