Using the UWBCS to Assess Racial Disparities in Breast Cancer Incidence & Surviva

威斯康星大学乳腺癌模拟(UWBCS)是由一个多学科团队开发和验证的，由癌症干预和监测建模网络(CISNET)资助，产生的年龄和阶段特定的发病率和死亡率与1975年至2000年期间美国SEER计划公布的发病率和死亡率非常接近。UWBCS是对单个女性的系统分析、离散事件模拟，包括肿瘤发病、肿瘤发现、乳腺癌筛查、乳腺癌治疗以及乳腺癌或其他20-100岁女性死亡的事件。我们将通过将种族纳入模型来增强UWBCS。然后，该模拟将被应用于评估癌症控制干预措施对现有筛查和治疗技术分别针对非裔美国人和白人妇女的乳腺癌发病率、存活率和死亡率的影响。这一分析将帮助我们解决非裔美国人和白人妇女在乳腺癌存活率和死亡率方面日益扩大的差距。UWBCS的不断加强和应用将弥补我们对乳腺癌控制措施的理解上的差距，而其他方法，如随机试验，无法做到这一点。这项对公共卫生的研究建议的研究将帮助我们确定1975年至2000年期间美国人口中非裔美国人和白人妇女的筛查和治疗改进对乳腺癌发病率和死亡率的不同影响，这将对所有政策制定者、研究界、医疗保健专业人员及其组织、信息和倡导组织有用。这些变化的结果可能有助于政策制定者和癌症社区采取措施，缩小不同种族之间的生存和死亡率差距，这对改善公共卫生具有非常重要的意义。

The University of Wisconsin Breast Cancer Simulation (UWBCS) was developed and validated by a multidisciplinary team with Cancer Intervention and Surveillance Modeling Network (CISNET) funding and produces age- and stage-specific incidence and mortality rates that closely match those published by the SEER program for the US during 1975-2000. The UWBCS is a systems analytic, discrete-event simulation of individual women incorporating events for tumor onset, tumor discovery, breast cancer screening, breast cancer treatment, and death from either breast cancer or other women aged 20-100 years. We will enhance the UWBCS by incorporating race into the model. The simulation will then be applied to estimate the impact of cancer control interventions on breast cancer incidence, survival, and mortality rates of existing screening and treatment technologies separately for African-American and white women. This analysis will help us address the widening disparity between African American and white women in breast cancer survival and mortality. Continuing enhancement and application of the UWBCS will address gaps in our understanding of breast cancer control measures that other approaches, such as randomized trials, can not. of this research to Public Health The proposed research will help us identify the differential impacts on breast cancer incidence and mortality of screening and treatment improvements for African American and white women in the US population between 1975 and 2000, which will be useful to all policy makers, research community, healthcare professionals and their organizations, information and advocacy organizations. The results of these changes may help policy makers and cancer community to take the steps to lower the gaps in survival and mortality between various races, which is very significant in improving public health.