Biostatistics and Data Management

生物统计学和数据管理

基本信息

批准号：
8921137
负责人：
Diana L Miglioretti
金额：
$ 186.4万
依托单位：
KAISER FOUNDATION HEALTH PLAN OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至 2017-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8921137
关键词：
Address Age Biometry Breast Cancer Detection Cessation of life Code Communication Communities Community Practice Complex Data Data Analyses Data Collection Data Linkages Data Quality Data Set Development Effectiveness Electronics Ensure Ethnic Origin Goals Guidelines Image Imaging technology Information Systems Knowledge Measurement Meta-Analysis Methods Modeling Monitor Outcome Performance Phase Population Heterogeneity Procedures Qualifying Quality Control Race Radiology Specialty Registries Reporting Research Research Design Research Personnel Research Project Grants Resource Sharing Resources Risk Risk Assessment Risk Estimate Role Secure Statistical Methods System Testing Woman Women Physicians Work base breast density breast imaging cancer risk community setting comparative effectiveness data management data sharing effectiveness research experience improved instrument malignant breast neoplasm meetings models and simulation new technology novel performance tests population health predictive modeling programs repository screening sound transmission process tumor registry

项目摘要

The program theme is to identify effective breast cancer screening strategies for women with diverse levels of breast cancer risk to maximize screening benefits while minimizing potential harms. Program aims follow the premise that breast cancer screening will be most effective when: guidelines are based on accurate risk estimates that are tied to the effectiveness and harms of screening tests; women and physicians are informed about screening test performance based on risk level; risk-based screening practices are equitable; and high-quality comparative effectiveness research results are disseminated into community practice. Program goals will be met through three complementary research projects and three shared resource cores. Project 1, Risk Assessment in Community Practice: Developing Better Models, will improve prediction of breast cancer and breast cancer subtypes among women of varying ages and race/ethnicity and evaluate whether predicted risk can be used to optimize screening outcomes. Project 2, Comparative Effectiveness of Imaging Strategies for Breast Cancer Screening in Community Practice, will characterize the performance of advanced imaging technologies and screening strategies according to age, race/ethnicity, breast density, and overall breast cancer risk. Project 3, Community-based Utilization of Breast Imaging Technologies, will assess risk-based screening in diverse populations and identify disparities in access and use of new technologies. The Administrative Core will support logistical requirements and facilitate communication and data sharing. The Biostatistics and Data Management Core will coordinate data collection, management, and analysis and will develop statistical methods. The Comparative Effectiveness Core will use simulation modeling to estimate long-term implications of different screening practices on population health. The program represents an integrated effort to improve screening with the overall aim of averting deaths from breast cancer while minimizing harms.

该计划的主题是为具有不同水平的乳腺癌风险的女性确定有效的乳腺癌筛查策略，以最大程度地提高筛查益处，同时最大程度地减少潜在危害。计划的目的遵循以下前提：乳腺癌筛查将是最有效的：指南基于与筛查测试的有效性和危害相关的准确风险估计；妇女和医生会根据风险水平筛查测试绩效；基于风险的筛查实践是公平的；高质量的比较有效性研究结果被传播到社区实践中。计划目标将通过三个补充研究项目和三个共享资源核心实现。项目1，社区实践中的风险评估：开发更好的模型，将改善各个年龄和种族/种族/种族/种族的妇女对乳腺癌和乳腺癌亚型的预测，并评估是否可以使用预测的风险来优化筛查结果。项目2，《社区实践中乳腺癌筛查的成像策略的比较有效性》将根据年龄，种族/种族，乳房密度和整体乳腺癌风险来表征先进成像技术和筛查策略的性能。项目3，基于社区的乳房成像技术利用，将评估不同人群中的基于风险的筛查，并确定新技术的访问和使用方面的差异。行政核心将支持后勤要求，并促进通信和数据共享。生物统计学和数据管理核心将协调数据收集，管理和分析，并将开发统计方法。比较有效性核心将使用仿真建模来估计不同筛查实践对人群健康的长期影响。该计划代表了一项综合努力，以改善筛查，以避免乳腺癌死亡，同时最大程度地减少危害。