Related Experiment Video
Updated: May 23, 2025

05:19
Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
Published on: March 29, 2019
10.3K
Competing Risk Analysis for Diabetes Mellitus Mortality in Bladder Cancer Patients: A Population-based Study
Shunde Wang1, Baishu Zheng2, Junjie Yang1
1Department of Urology, The ChenJiaqiao Hospital of ShaPingba District of Chongqing city, Chongqing, 401331, China.
Current Cancer Drug Targets
|March 7, 2025
Summary
Patients with bladder cancer (BC) face a significantly higher risk of death from diabetes mellitus (DM). Advanced age, male sex, and certain cancer characteristics increase this risk, highlighting the need for targeted interventions.
Area of Science:
- Oncology
- Endocrinology
- Public Health
Background:
- Limited focus on mortality rates for individuals with concurrent diabetes and bladder cancer (BC).
- Need to identify risk factors for death from diabetes mellitus (DM) specifically within the BC patient population.
Purpose of the Study:
- To determine the mortality rate of DM in BC patients.
- To identify risk factors associated with DM mortality in individuals diagnosed with BC.
Main Methods:
- Utilized SEER database for BC patients diagnosed between 2000-2017.
- Calculated Standardized Mortality Ratio (SMR) for DM mortality.
- Employed a multivariate competing risk model to identify risk factors, using Hazard Ratios (HR) and 95% Confidence Intervals (95% CI).
Main Results:
- Analyzed data from 217,230 BC patients; 1,783 experienced DM mortality.
- Overall SMR for DM mortality in BC patients was 3.32 (95% CI: 3.17-3.48).
- Higher risk of DM mortality associated with advanced age, male sex, Black race, in situ tumor stage, early diagnosis year, transitional cell carcinoma, no chemotherapy/radiation, and lack of spouse.
Conclusions:
- Individuals with BC have a substantially elevated risk of DM mortality compared to the general population.
- Identifying high-risk groups is crucial for implementing targeted DM interventions.
- Effective interventions can improve survival rates for BC patients with diabetes.
Related Concept Videos
Cancer Survival Analysis
318
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
318
Comparing the Survival Analysis of Two or More Groups
115
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
115
Psychoneuroimmunology: Diabetes and Cancer
21
Chronic stress has been linked to both the onset and progression of serious health conditions, including Type 2 diabetes and cancer. Type 2 diabetes, a widespread chronic illness, is closely associated with obesity and insulin resistance, both of which often worsen under stress. Studies indicate that men experiencing high levels of chronic stress face a 45% higher risk of developing diabetes compared to those with minimal stress. Stress triggers physiological responses that elevate blood...
21

