Related Experiment Video
Updated: May 28, 2025
06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
204
Association Between Nonfatal Self-Injury and Survival Following a Cancer Diagnosis: A Comparative Population-Based
Antoine Eskander1,2,3,4,5, Rinku Sutradhar2,3,4, Elie Isenberg-Grzeda6,7
1Division of Surgical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Journal of the National Comprehensive Cancer Network : JNCCN
|February 11, 2025
Summary
Nonfatal self-injury (NFSI) in cancer patients significantly reduces overall survival. Identifying and treating distress in cancer patients is crucial to mitigate the risk of NFSI and improve outcomes.
Area of Science:
- Oncology
- Mental Health
- Public Health
Background:
- Nonfatal self-injury (NFSI) is a serious mental health concern following a cancer diagnosis.
- The impact of NFSI on patient outcomes, specifically overall survival (OS), remains largely unknown.
- Understanding the burden of NFSI in cancer care is critical for improving patient management.
Purpose of the Study:
- To investigate the association between NFSI after a cancer diagnosis and subsequent overall survival (OS).
- To quantify the impact of NFSI events on the mortality risk in cancer patients.
- To highlight NFSI as a potential indicator of cancer-related distress.
Main Methods:
- A retrospective population-based cohort study utilized linked administrative health care data.
- Patients diagnosed with cancer between 2007 and 2019 were included.
- NFSI was treated as a time-varying exposure, and OS was the primary outcome, analyzed using extended Cox multivariable models.
Main Results:
- 0.31% of 806,910 cancer patients experienced NFSI, with a median of 29 months post-diagnosis.
- Patients with NFSI exhibited significantly inferior OS (adjusted HR, 1.73).
- Each additional NFSI event was associated with increased mortality risk (adjusted HR, 1.17).
Conclusions:
- NFSI following a cancer diagnosis is independently linked to poorer overall survival.
- NFSI serves as a critical event, underscoring the need for early identification and intervention for cancer-related distress.
- Proactive mental health support for cancer patients at risk of NFSI is essential.
Related Concept Videos
01:21Cancer Survival Analysis
321
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...
321
01:19Psychoneuroimmunology: Diabetes and Cancer
22
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...
22
01:15Assumptions of Survival Analysis
84
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
84
01:20Comparing the Survival Analysis of Two or More Groups
127
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...
127
02:40Cancer Stem Cells and Tumor Maintenance
4.7K
Early diagnosis and treatment can often cure cancer. However, even with treatment, residual cells called cancer stem cells (CSC) might remain, often causing tumor recurrence. These cancer stem cells possess the potential for self-renewal and multi-lineage differentiation and are often responsible for the therapeutic resistance displayed in most cancers.
Cancer stem cells are thought to originate from tissue-specific normal stem cells or progenitor cells. The normal stem cells usually reside in...
Cancer stem cells are thought to originate from tissue-specific normal stem cells or progenitor cells. The normal stem cells usually reside in...
4.7K
01:18Introduction To Survival Analysis
166
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
166