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

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...
Actuarial Approach01:20

Actuarial Approach

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,...
Probability Laws01:49

Probability Laws

Overview
Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
Drug Dosing: Infants and Children01:29

Drug Dosing: Infants and Children

Pediatric patient dosages diverge from adults due to disparities in body surface area, total body water, and extracellular fluid per kilogram of body weight. The dosing regimen considers the variations in pharmacokinetics and pharmacology across distinct age groups, encompassing preterm newborns, infants, young children, older children, and adolescents. Calculation of pediatric patient doses is predicated on determining body surface area, which exhibits a superior correlation with the child's...
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...

You might also read

Related Articles

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

Sort by
Same author

Suicide risk and social support in Australian resource sector employees: A cross-sectional study.

Journal of community psychology·2018
Same author

Siblings of children with life-limiting conditions: psychological adjustment and sibling relationships.

Child: care, health and development·2016
Same author

Effects of Cold and Compression on Edema.

The Physician and sportsmedicine·2016
Same author

Oxfordshire Women and Their Children's Health (OxWATCH): protocol for a prospective cohort feasibility study.

BMJ open·2015
Same author

Fusion of Agrobacterium and E. coli spheroplasts with Nicotiana tabacum protoplasts - Direct gene transfer from microorganism to higher plant.

Plant cell reports·2013
Same author

Transfer and segregation of triazine tolerant chloroplasts in Brassica napus L.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same journal

Protecting adolescent confidentiality in the digital age: a global call for adolescent-informed electronic health records.

Archives of disease in childhood·2026
Same journal

Diagnostic accuracy study assessing the ability of paediatric asthma scores to predict admission following initial emergency department bronchodilator therapy: a Clinical Asthma Scoring systems in Paediatric Emergency (CASPER) study.

Archives of disease in childhood·2026
Same journal

Artificial intelligence for child health: current capabilities and the next frontier.

Archives of disease in childhood·2026
Same journal

Troubled origins and lasting impact of the first insulin injection.

Archives of disease in childhood·2026
Same journal

Paediatric readiness assessment tools in emergency care: a scoping review.

Archives of disease in childhood·2026
Same journal

Building a paediatric workforce to deliver the NHS prevention agenda: time for paediatric public health medicine?

Archives of disease in childhood·2026
See all related articles

Related Experiment Video

Updated: Jul 4, 2026

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

Predicting death in children.

L Brook1, R Hain

  • 1Alder Hey Children's Hospital, Liverpool, UK,

Archives of Disease in Childhood
|June 20, 2008
PubMed
Summary
This summary is machine-generated.

Diagnosing dying in children with life-limiting conditions is crucial for timely palliative care. Recognizing these critical episodes ensures optimal management and support throughout the illness trajectory.

Related Experiment Videos

Last Updated: Jul 4, 2026

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

Area of Science:

  • Pediatric Palliative Medicine
  • Oncology
  • Hospice Care

Background:

  • Paediatric palliative medicine physicians often face prognostic uncertainty regarding "how long" a child may live.
  • Palliative care needs fluctuate during a child's life-limiting illness, with critical episodes often preceding the final terminal phase.
  • Accurate recognition of dying is essential for proactive and effective palliative care interventions.

Purpose of the Study:

  • To emphasize the importance of making a "diagnosis of dying" in paediatric palliative medicine.
  • To review tools that aid in recognizing dying in children.
  • To examine evidence supporting the diagnosis of dying in both paediatric and adult populations.

Main Methods:

  • Review of existing literature on the diagnosis of dying in palliative care.
  • Discussion of clinical indicators and tools for identifying dying episodes in children.
  • Analysis of evidence from published studies in paediatric and adult palliative medicine.

Main Results:

  • The "diagnosis of dying" is a critical, yet often challenging, aspect of paediatric palliative care.
  • Anticipating and recognizing dying episodes allows for optimized management and care planning.
  • Evidence from literature supports the utility of recognizing dying in various patient populations.

Conclusions:

  • Making a diagnosis of dying is vital for providing timely and adequate paediatric palliative care.
  • Proactive identification of dying facilitates better anticipation of patient needs and improves care quality.
  • Further research and clinical tools are needed to support the diagnosis of dying in children with life-limiting conditions.