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Erschienen in: Current Breast Cancer Reports 3/2020

26.05.2020 | Breast Cancer Disparities (LA Newman, Section Editor)

Large Datasets for Disparities Research in Breast Cancer

verfasst von: Alex Cheng, Jerome Jourquin, Mia Levy

Erschienen in: Current Breast Cancer Reports | Ausgabe 3/2020

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Abstract

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.
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Metadaten
Titel
Large Datasets for Disparities Research in Breast Cancer
verfasst von
Alex Cheng
Jerome Jourquin
Mia Levy
Publikationsdatum
26.05.2020
Verlag
Springer US
Erschienen in
Current Breast Cancer Reports / Ausgabe 3/2020
Print ISSN: 1943-4588
Elektronische ISSN: 1943-4596
DOI
https://doi.org/10.1007/s12609-020-00367-y

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