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

650
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...
650
Longitudinal Research02:20

Longitudinal Research

13.1K
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...
13.1K
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

580
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
580
Cancer Prevention02:59

Cancer Prevention

7.7K
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...
7.7K
Actuarial Approach01:20

Actuarial Approach

290
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,...
290
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

577
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
577

You might also read

Related Articles

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

Sort by
Same author

Age-Specific Trends in Carcinoma Incidence Among Adolescents and Young Adults in the United States, 1975-2021.

Cancer medicine·2026
Same author

Association of COVID-19 Severity with Comorbidities: Results from the World Trade Center Health Registry.

International journal of environmental research and public health·2026
Same author

Social Drivers of Guideline-Discordant Breast Cancer Screening by Age and Mortality Risk.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2025
Same author

Health Informatics in Promoting Breast Cancer Screening: A Systematic Review of Benefits and Challenges.

JCO clinical cancer informatics·2025
Same author

Effectiveness of Technology-Based Interventions in Promoting Lung Cancer Screening Uptake and Decision-Making Among Patients.

International journal of environmental research and public health·2025
Same author

Early onset cancer trends and the persistently higher burden of cancer in young women.

The oncologist·2025

Related Experiment Video

Updated: Jan 18, 2026

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

6.0K

Census Tract-Level Persistent Poverty and Liver Cancer Survival: A Population-Based Study.

Rongyi Wu1,2, Rebecca D Kehm1,3

  • 1Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology
|January 16, 2026
PubMed
Summary

Living in persistent poverty is linked to worse liver cancer survival. This highlights the need for targeted interventions in economically disadvantaged communities to reduce cancer disparities.

More Related Videos

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
07:32

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis

Published on: April 12, 2024

1.9K
Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis
05:56

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

Published on: August 29, 2025

441

Related Experiment Videos

Last Updated: Jan 18, 2026

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

6.0K
Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
07:32

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis

Published on: April 12, 2024

1.9K
Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis
05:56

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

Published on: August 29, 2025

441

Area of Science:

  • Oncology
  • Public Health
  • Socioeconomic Determinants of Health

Background:

  • Liver cancer incidence and mortality are increasing in the U.S., with significant racial and socioeconomic disparities.
  • Persistent poverty, defined as communities with ≥20% federal poverty line residents for ≥30 years, is an understudied factor in cancer survival.
  • This study investigates the association between persistent poverty at the census tract level and liver cancer survival outcomes.

Purpose of the Study:

  • To examine the relationship between census tract-level persistent poverty and liver cancer survival.
  • To determine if persistent poverty impacts cancer-specific and overall mortality.
  • To identify demographic and clinical factors that modify this association.

Main Methods:

  • Analysis of 73,695 adult liver cancer patients diagnosed between 2006-2019 from the SEER 17 Registries.
  • Assignment of persistent poverty status based on patient residence at diagnosis.
  • Survival analysis using Kaplan-Meier and Cox models, adjusting for covariates and evaluating effect modification.

Main Results:

  • Eleven percent of patients resided in persistent poverty tracts.
  • Median cancer-specific survival was significantly lower in persistent poverty tracts (16 months) versus non-persistent tracts (22 months).
  • Persistent poverty was associated with a 9% increase in cancer-specific mortality and an 11% increase in all-cause mortality, particularly in younger patients (<65) and those with localized disease.

Conclusions:

  • Residence in a persistent poverty census tract is independently associated with poorer liver cancer survival.
  • Interventions and policies addressing socioeconomic disadvantage are crucial for mitigating liver cancer survival disparities.
  • The findings underscore the importance of considering socioeconomic context in cancer care and policy.