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

Cancer Survival Analysis01:21

Cancer 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
Enteral Nutrition II: Nasointestinal and Gastrostomy Feeding01:15

Enteral Nutrition II: Nasointestinal and Gastrostomy Feeding

81
Enteral nutrition encompasses various methods of delivering nutrition directly to the gastrointestinal (GI) tract, bypassing traditional oral intake. It is particularly beneficial for patients who cannot eat by mouth but have a functioning digestive system. Key methods include nasointestinal feeding, gastrostomy, and jejunostomy, each suited to different clinical scenarios based on the patient's needs and condition.
Nasointestinal Feeding
Nasointestinal feeding involves placing a tube...
81
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

152
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...
152
Enteral Nutrition I: Orogastric and Nasogastric Feeding01:26

Enteral Nutrition I: Orogastric and Nasogastric Feeding

201
Enteral nutrition delivers nutrients directly to the stomach or small intestine through a tube. This method is appropriate for patients who cannot eat but still have a functioning digestive system. It is also beneficial for individuals with swallowing difficulties, anorexia, malabsorption, or those who have undergone gastrointestinal (GI) surgery.
Orogastric (OG) and nasogastric (NG) feeding are two standard methods used for enteral nutrition. Enteral nutrition is often preferred over...
201
Role of Communication in the Nursing Process II: Planning and Implementation01:25

Role of Communication in the Nursing Process II: Planning and Implementation

1.8K
Several factors are considered while creating a patient's care plan. Motivation is a factor in improving communication, and patients often require encouragement to try different approaches involving significant change. It is essential to involve the patient and family in decisions about the plan of care to determine whether the suggested methods are acceptable. Consider meeting critical comfort and safety needs before introducing new communication methods and techniques. Allow adequate time...
1.8K
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

97
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.
97

You might also read

Related Articles

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

Sort by
Same author

Comment on 'Oncological and Survival Endpoints in Cancer Cachexia Clinical Trials: Systematic Review 6 of the Cachexia Endpoint Series' by Dajani et al.-The Authors' Reply.

Journal of cachexia, sarcopenia and muscle·2025
Same author

Oncological and Survival Endpoints in Cancer Cachexia Clinical Trials: Systematic Review 6 of the Cachexia Endpoints Series.

Journal of cachexia, sarcopenia and muscle·2025
Same author

Enteral and parenteral nutrition in patients with cancer: complication rates compared-updated systematic review and meta-analysis.

BMJ supportive & palliative care·2025
Same author

Nutrition adequacy and survival.

Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition·2024
Same author

Supplemental parenteral nutrition: decisions based on weak evidence.

ESMO open·2020
Same author

Assessing Evidence and the Need for High-Quality Research in Clinical Nutrition.

Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition·2019

Related Experiment Video

Updated: Jun 6, 2025

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

218

Nutrition care and overall survival

Jann Arends1

  • 1Department of Medicine I, University of Freiburg Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Nutrition in Clinical Practice : Official Publication of the American Society for Parenteral and Enteral Nutrition
|November 23, 2024
PubMed
Summary

No abstract available in PubMed .

More Related Videos

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

10.1K
Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
03:35

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography

Published on: December 1, 2023

278

Related Experiment Videos

Last Updated: Jun 6, 2025

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

218
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

10.1K
Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
03:35

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography

Published on: December 1, 2023

278