Related Experiment Video
Updated: Dec 26, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Age-related differences in breast cancer mortality according to race/ethnicity, insurance, and socioeconomic status
Yazmin San Miguel1, Scarlett Lin Gomez2,3, James D Murphy1
1Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Background:
We assessed breast cancer mortality in older versus younger women according to race/ethnicity, neighborhood socioeconomic status (nSES), and health insurance status.
Methods:
The study included female breast cancer cases 18 years of age and older, diagnosed between 2005 and 2015 in the California Cancer Registry. Multivariable Cox proportional hazards modeling was used to generate hazard ratios (HR) of breast cancer specific deaths and 95% confidence intervals (CI) for older (60+ years) versus younger (< 60 years) patients separately by race/ethnicity, nSES, and health insurance status.
Results:
Risk of dying from breast cancer was higher in older than younger patients after multivariable adjustment, which varied in magnitude by race/ethnicity (P-interaction< 0.0001). Comparing older to younger patients, higher mortality differences were shown for non-Hispanic White (HR = 1.43; 95% CI, 1.36-1.51) and Hispanic women (HR = 1.37; 95% CI, 1.26-1.50) and lower differences for non-Hispanic Blacks (HR = 1.17; 95% CI, 1.04-1.31) and Asians/Pacific Islanders (HR = 1.15; 95% CI, 1.02-1.31). HRs comparing older to younger patients varied by insurance status (P-interaction< 0.0001), with largest mortality differences observed for privately insured women (HR = 1.51; 95% CI, 1.43-1.59) and lowest in Medicaid/military/other public insurance (HR = 1.18; 95% CI, 1.10-1.26). No age differences were shown for uninsured women. HRs comparing older to younger patients were similar across nSES strata.
Conclusion:
Our results provide evidence for the continued disparity in Black-White breast cancer mortality, which is magnified in younger women. Moreover, insurance status continues to play a role in breast cancer mortality, with uninsured women having the highest risk for breast cancer death, regardless of age.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
Related Concept Videos
Cancer Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Bias in Epidemiological Studies
Kaplan-Meier Approach
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Statistical Methods for Analyzing Epidemiological Data