Related Experiment Video
Updated: Jun 9, 2025
06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
222
Cancer and mortality risks among people with multiple sclerosis: A population-based study in Isfahan, Iran
Amirhossein Nafari1, Saeed Vaheb1, Alireza Afshari-Safavi1,2
1Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Plos One
|October 31, 2024
Summary
Cancer risk is significant in people with multiple sclerosis (MS), particularly in older individuals. Male gender and longer MS duration are associated with increased cancer mortality risk.
Area of Science:
- Neurology
- Oncology
- Epidemiology
Background:
- Multiple sclerosis (MS) and cancer are major global health concerns.
- Understanding cancer patterns in people with MS (PwMS) is vital due to potential demographic and geographic variations.
- Isfahan province, Iran, with its high MS incidence, provides a key population for studying MS-cancer associations.
Purpose of the Study:
- To investigate the association between the risk of cancer and multiple sclerosis (MS).
- To analyze cancer incidence and mortality patterns among people with MS (PwMS).
Main Methods:
- Utilized data from the National Multiple Sclerosis Registry System of Iran (NMSRI) for PwMS.
- Analyzed cancer incidence using the Iranian National Population-Based Cancer Registry (INPCR) data.
- Employed descriptive statistics, regression analyses, and Kaplan-Meier survival analysis.
Main Results:
- Out of 10,049 PwMS, 123 were diagnosed with cancer.
- Cancer incidence was 125.6 per 100,000 person-years, peaking in the 60-64 age group.
- Monoclonal antibody use and older age correlated with higher cancer risk; male gender and longer MS duration linked to increased cancer mortality.
Conclusions:
- Cancer incidence is significant among people with multiple sclerosis.
- Breast cancer was the most common malignancy, especially in women.
- Male gender and longer disease duration are risk factors for cancer mortality in PwMS.
Related Concept Videos
01:21Cancer Survival Analysis
328
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...
328
01:19Psychoneuroimmunology: Diabetes and Cancer
24
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...
24
01:20Actuarial Approach
63
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
63
01:24Kaplan-Meier Approach
102
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
102
02:59Cancer Prevention
6.1K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Some...
6.1K