Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cancer Survival Analysis

Cancer Survival Analysis

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...

Relative Risk

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...

Treatment Resistent Cancers

Treatment Resistent Cancers

Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...

Longitudinal Research

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

Treatment Resistant Cancers

Treatment Resistant Cancers

Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Leukocyte cell population data predict 30-day mortality in community-acquired pneumonia: A multicenter prospective study.

Biomolecules & biomedicine·2026

Same author

Epidemiology of multiple sclerosis in a healthcare area of the Basque Country, Northern Spain: A population-based study (2009-2023).

Multiple sclerosis journal - experimental, translational and clinical·2026

Same author

The Role of Reticulocyte-Derived Parameters in the Detection of Iron-Restricted Erythropoiesis in the Elderly.

Diagnostics (Basel, Switzerland)·2026

Same author

The Role of the TG2-GPR56 Complex in Cutaneous Squamous Cell Carcinoma (CSCC) Aggression and Therapeutic Resistance.

International journal of molecular sciences·2026

Same author

[Association between social deprivation index and adverse events in colorectal and breast cancer in the Basque Country].

Gaceta sanitaria·2025

Same author

Exploratory Evaluation of Potential CRP and Ferritin Thresholds and Survival in Critically Ill Patients: A Pilot Prospective ICU Study.

Journal of clinical medicine·2025

Search research articles

Related Experiment Video

Updated: Jun 13, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Ten-Year Outcomes in Colorectal Cancer-Competing Risks and Patient Vulnerability: A Prospective Multicenter

Marilina García-Aranda^1,2,3,4, Desireé Martín-García^1,2,3,4, Janire Gallejones-Eskubi^3,5,6

¹B-14 Research Group on Translational Research and Health Outcomes in Cancer and Chronic Diseases, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29590 Málaga, Spain.

Journal of Clinical Medicine

|June 12, 2026

Summary

This summary is machine-generated.

Long-term colorectal cancer (CRC) survival depends on both tumor factors and patient vulnerabilities. Understanding these risks helps tailor follow-up care for CRC survivors.

Keywords:

cancer survivorship cause-specific mortality colorectal cancer long-term outcomes sex differences

More Related Videos

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Related Experiment Videos

Last Updated: Jun 13, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Area of Science:

Oncology
Epidemiology
Public Health

Background:

Improved colorectal cancer (CRC) survival necessitates focus on long-term outcomes.
CRC survivors face mortality risks beyond cancer, influenced by clinical and psychosocial factors.

Purpose of the Study:

To investigate long-term mortality causes in colorectal cancer (CRC) survivors.
To identify risk factors for CRC-specific and non-CRC mortality.
To explore differences in mortality patterns based on tumor site and sex.

Main Methods:

A 10-year prospective cohort study of 838 colorectal cancer (CRC) patients.
Data collection included clinical, sociodemographic, lifestyle, and patient-reported outcomes.
Competing risk regression models (Fine-Gray) analyzed CRC-specific and non-CRC mortality.

Main Results:

After 10 years, 40% of patients died; 66% from CRC, 34% from other causes.
CRC mortality linked to advanced stage and residual disease; non-CRC mortality to age, lack of chemotherapy, anemia, alcohol, and poor function.
Rectal cancer patients and women reported lower quality of life; sex differences in vulnerability factors were observed.

Conclusions:

Long-term colorectal cancer (CRC) mortality results from an interplay between tumor characteristics and patient vulnerabilities.
Competing risk models offer accurate cause-specific outcome assessment.
Identifying high-risk subgroups can inform tailored follow-up and management strategies for CRC survivors.