Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

524
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...
524
Cancer Survival Analysis01:21

Cancer Survival Analysis

620
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...
620
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

854
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
854
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

373
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,...
373
Hazard Ratio01:12

Hazard Ratio

541
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
541

You might also read

Related Articles

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

Sort by
Same author

Unveiling the impact of pipe materials on water hammer in pressure pipelines: an experimental and numerical study.

Scientific reports·2024
Same author

Structural, Optical, and Electrical Parameters of Doped PVA/PVP Blend with TPAI or THAI Salt.

Polymers·2023
Same author

Impact of ZnS/Mn on the Structure, Optical, and Electric Properties of PVC Polymer.

Polymers·2023
Same author

The role of purslane in modulating diverse effects of high fat diet on biochemical, histological, and molecular parameters of rats' liver.

Brazilian journal of biology = Revista brasleira de biologia·2021
Same author

The bioprotective role of irradiated hibiscus against harmful effects of using repeatedly frying edible oil.

Brazilian journal of biology = Revista brasleira de biologia·2021
Same author

Relationship of Plasma Vitamin-D Level with Left Ventricular Ejection Fraction in Patients with First Attack of Acute Myocardial Infarction.

Mymensingh medical journal : MMJ·2020

Related Experiment Video

Updated: Jan 5, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

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

Published on: September 27, 2024

614

A Statistical Analysis of Risk Groups in Colorectal Cancer Patients.

R M Florescu-Ţenea1, A M Kamal2, P Mitruţ3,4

  • 1PhD Student, Department of Histology, University of Medicine and Pharmacy of Craiova, Romania.

Current Health Sciences Journal
|October 19, 2019
PubMed
Summary
This summary is machine-generated.

Colorectal cancer (CRC) is a significant global health issue. This study analyzed 20 CRC patients, detailing demographic, clinical, and histopathological characteristics to understand disease presentation.

Keywords:
Colorectal cancerangiogenesiscolonoscopyimmunohistochemistryincidence

More Related Videos

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison 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

466
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.7K

Related Experiment Videos

Last Updated: Jan 5, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

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

Published on: September 27, 2024

614
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison 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

466
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.7K

Area of Science:

  • Oncology
  • Gastroenterology
  • Pathology

Background:

  • Colorectal cancer (CRC) presents a major global health challenge due to rising incidence and limited treatment options.
  • Understanding CRC's molecular mechanisms and developing targeted therapies are crucial for improving patient outcomes.
  • Patient stratification based on epidemiological and molecular biomarkers aids in risk assessment and personalized medicine.

Observation:

  • This study analyzed 20 patients diagnosed with colorectal cancer via colonoscopy and histopathology.
  • Data collected included patient demographics (age, gender, origin), symptoms, and colonoscopic findings.
  • Corroboration of statistical, anamnestic, histopathologic, and immunohistochemical data provided comprehensive insights.

Findings:

  • The average patient age was 63.8 years, with a male to female ratio of 2.33.
  • Urban origin was reported for two-thirds of patients, and 75% experienced transit disorders.
  • Most tumors were rectal adenocarcinomas (85%), often vegetant (60%) and moderately differentiated (50%).

Implications:

  • Findings highlight key demographic and clinical features of CRC patients in the study cohort.
  • Understanding tumor location, type, and differentiation is vital for treatment planning.
  • This data contributes to the broader understanding of colorectal cancer epidemiology and pathology.