Validation of a Dynamic Risk Prediction Model Incorporating Prior Mammograms in a Diverse Population

A dynamic MRS generated from both current and prior mammograms showed robust performance across diverse racial and ethnic populations in a province-wide screening program starting from age 40 years, reflecting improved accuracy for racially and ethnically diverse populations.

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Publication Details

Journal
JAMA Network Open
Published
2025-06-06
DOI
https://doi.org/10.1001/jamanetworkopen.2025.12681
Citations
6
Primary Topic
Global Cancer Incidence and Screening
Type
article
Field-Weighted Citation Impact
6.27
Controls
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article

Validation of a Dynamic Risk Prediction Model Incorporating Prior Mammograms in a Diverse Population

Graham A. Colditz, Debbie L. Bennett, Shu Yan Jiang
6 citations
JAMA Network Open
Global Cancer Incidence and Screening
6.27
article

Validation of a Dynamic Risk Prediction Model Incorporating Prior Mammograms in a Diverse Population

Graham A. Colditz, Debbie L. Bennett, Shu Yan Jiang
article en
6 citations

Abstract

A dynamic MRS generated from both current and prior mammograms showed robust performance across diverse racial and ethnic populations in a province-wide screening program starting from age 40 years, reflecting improved accuracy for racially and ethnically diverse populations.

JAMA Network OpenVol. 8(6)
Washington University in St. Louis (US)
Good health and well-being
Openalex Percentile: Top 3%
Global Cancer Incidence and Screening
6.27
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