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

560
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...
560
Actuarial Approach01:20

Actuarial Approach

218
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,...
218
Cancer Prevention02:59

Cancer Prevention

7.5K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
7.5K
Cancer02:18

Cancer

53.1K
Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
53.1K
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism01:18

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism

115
Geriatric patients show significant variation in how their bodies process medications, which can change how effective and safe treatments are. The liver is the primary organ where drug metabolism occurs, involving two main types of chemical reactions: phase I and II. Phase I metabolism is driven by the cytochrome P450 enzyme system, which includes key types such as CYP3A, CYP2D6, and CYP2C9. Research indicates that while aging doesn't notably alter the levels or activity of these enzymes, it...
115
Pharmacodynamics in Geriatric Patients: Effects of Age01:27

Pharmacodynamics in Geriatric Patients: Effects of Age

120
Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
120

You might also read

Related Articles

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

Sort by
Same author

Statins and primary liver cancer: a meta-analysis of observational studies.

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)·2012
Same author

Lung cancer mortality in European women: trends and predictions.

Lung cancer (Amsterdam, Netherlands)·2012
Same author

Tobacco control: economic aspects of smoking.

Preventive medicine·2012
Same author

Time to first cigarette and upper aerodigestive tract cancer risk in Japan.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2012
Same author

Re: coffee consumption and prostate cancer risk and progression in the health professional follow-up study.

Journal of the National Cancer Institute·2012
Same author

Italy SimSmoke: the effect of tobacco control policies on smoking prevalence and smoking attributable deaths in Italy.

BMC public health·2012

Related Experiment Video

Updated: Dec 10, 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

550

Cancer mortality in the oldest old: a global overview.

Dana Hashim1, Greta Carioli2, Matteo Malvezzi2

  • 1Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Aging
|September 4, 2020
PubMed
Summary

Cancer mortality generally stabilizes or declines after age 85, especially for non-hormonal cancers. However, trends vary by country and cancer type, with some showing increases in the oldest old population.

Keywords:
80 and overagedcentenariansmortalityneoplasms

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

10.6K
A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
12:24

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma

Published on: September 30, 2021

5.8K

Related Experiment Videos

Last Updated: Dec 10, 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

550
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

10.6K
A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
12:24

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma

Published on: September 30, 2021

5.8K

Area of Science:

  • Gerontology
  • Epidemiology
  • Oncology

Background:

  • Increasing life expectancy leads to a growing elderly population (85+ years).
  • Cancer burden is expected to rise in this demographic.
  • Age trends for major cancers are known, but less so for rarer types.

Purpose of the Study:

  • To describe age trends in cancer mortality.
  • To focus specifically on individuals aged 85 years and older.

Main Methods:

  • Utilized World Health Organization (WHO) death data from eight countries (2000-2014).
  • Calculated age-specific mortality rates for 5-year age groups above 64.
  • Employed joinpoint regression models to analyze mortality trend changes by age.

Main Results:

  • Overall cancer mortality peaked at 85 years, then decreased/stabilized in most countries.
  • Mortality continued to rise post-85 in the USA, France, and Japan.
  • Specific trends varied: lung cancer peaked at 80, breast/prostate cancers increased post-85, while others like bladder/kidney cancers decreased after 85 in some nations.

Conclusions:

  • Cancer mortality tends to stabilize or decrease after age 85, particularly for non-hormonal cancers.
  • This pattern may indicate a biological plateau or potential issues with cancer registration accuracy in the oldest individuals.