Large Datasets for Disparities Research in Breast Cancer

Purpose of Review Breast cancer disparities affect how different populations are impacted by breast cancer incidence, mortality, and survival. We provide an overview of large datasets that scientists can use to study disparities in breast cancer outcomes. Recent Findings Many large datasets are acce...

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Bibliographic Details
Published in:Current breast cancer reports 2020-09, Vol.12 (3), p.140-148
Main Authors: Cheng, Alex, Jourquin, Jerome, Levy, Mia
Format: Article
Language:English
Subjects:
Breast Cancer Disparities (LA Newman
Internal Medicine
Medicine
Medicine & Public Health
Oncology
Section Editor
Surgical Oncology
Topical Collection on Breast Cancer Disparities
Citations: Items that this one cites
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Summary:Purpose of Review Breast cancer disparities affect how different populations are impacted by breast cancer incidence, mortality, and survival. We provide an overview of large datasets that scientists can use to study disparities in breast cancer outcomes. Recent Findings Many large datasets are accessible to disparities researchers with a project plan and little or no cost. Yet only two datasets have been significantly used in breast cancer disparities publications. Other datasets combine administrative claim, molecular, electronic health record, patient reported, imaging, and clinical trial data in a way that could benefit disparities research. Summary Many existing datasets lack sufficient diversity or detail in key disparity variables. With this review of the different datasets available and their potential pitfalls, researchers will be better equipped to conduct studies that can identify and solve the problems that lead to health outcome disparities for breast cancer patients.
ISSN:1943-4588
1943-4596
DOI:10.1007/s12609-020-00367-y