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Establishing a Competing Risk Regression Nomogram Model for Survival Data

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Published on: October 23, 2020

[Breast cancer under control - risk calculators].

Beata Pepłońska¹, Filip Turoboś²

¹Instytut Medycyny Pracy im. prof. J. Nofera / Nofer Institute of Occupational Medicine, Łódź, Poland (Zakład Epidemiologii Środowiskowej / Department of Environmental Epidemiology).

|December 18, 2024

Summary

Identifying women at high risk for breast cancer is crucial for prevention and screening. This review discusses common breast cancer risk calculators, their factors, interpretation, and validation.

Keywords:

breast cancer models review risk estimation risk factors validation

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Area of Science:

Oncology
Epidemiology
Biostatistics

Context:

Breast cancer is the most prevalent malignancy in women globally.
Accumulation of risk factors significantly elevates breast cancer development likelihood.
Accurate risk assessment is vital for personalized prevention and screening strategies.

Purpose:

To review and compare frequently utilized breast cancer risk prediction models (risk calculators).
To analyze the risk factors incorporated, interpretation methods, and target populations of these models.
To present validation study data for established breast cancer risk calculators.

Summary:

This manuscript provides a comprehensive overview of prominent breast cancer risk calculators.
It details the specific risk factors, interpretation guidelines, and population applicability for each model.
Evidence from validation studies is critically examined to assess the reliability of these tools.

Impact:

Facilitates informed selection of appropriate risk assessment tools for clinicians and researchers.
Enhances the understanding of breast cancer risk stratification for improved patient management.
Supports the development of targeted breast cancer prevention and early detection programs.