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

Pharmacodynamics in Geriatric Patients: Effects of Age01:27

Pharmacodynamics in Geriatric Patients: Effects of Age

175
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...
175
Cancer Survival Analysis01:21

Cancer Survival Analysis

629
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...
629
Cancer Prevention02:59

Cancer Prevention

7.6K
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...
7.6K
Longitudinal Research02:20

Longitudinal Research

13.0K
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...
13.0K
Relative Risk01:12

Relative Risk

1.7K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
1.7K
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Excretion01:18

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Excretion

217
In geriatric patients, renal physiology undergoes significant changes, including diminished renal blood flow and a lower glomerular filtration rate (GFR), leading to alterations in medication clearance. Drugs such as aminoglycoside antibiotics, lithium, and digoxin, which rely on glomerular filtration for removal from the body, particularly impact pharmacokinetics. These drugs tend to have slower clearance rates in older adults, necessitating careful dosage considerations.Evaluation of renal...
217

You might also read

Related Articles

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

Sort by
Same author

Virtual Sustained Tobacco Treatment for Patients With Cancer: A Randomized Controlled Trial (ECOG-ACRIN: EAQ171CD) Within the National Cancer Institute Community Oncology Research Program.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2026
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

Use of a Discrete Choice Experiment to Inform De-implementation of Mammography Overscreening: A US-Based National Survey.

Journal of general internal medicine·2026
Same author

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

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

Using the Consolidated Framework for Implementation Research (CFIR) to understand student perceptions of reach, relevance, and fit of opioid overdose education and naloxone distribution programs on university campuses.

Translational behavioral medicine·2025

Related Experiment Video

Updated: Jan 8, 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

10.7K

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

Michelle L Lui1, Erica J Lee Argov1, Rebecca D Kehm1,2

  • 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
|December 19, 2025
PubMed
Summary

Racial disparities exist in breast cancer screening, with some minority groups being underscreened and others overscreened. Socioeconomic factors also significantly impact mammography access, highlighting the need for equitable screening strategies.

More Related Videos

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

625
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.5K

Related Experiment Videos

Last Updated: Jan 8, 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

10.7K
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

625
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.5K

Area of Science:

  • Public Health
  • Oncology
  • Health Disparities

Background:

  • Understanding social determinants of mammography screening is crucial for optimizing breast cancer (BC) screening guidelines.
  • Guidelines aim to maximize benefits and minimize harms across diverse populations.
  • Examining racial/ethnic, socioeconomic, and geographic patterns in guideline-discordant screening is essential.

Purpose of the Study:

  • To analyze patterns of mammography underscreening and overscreening.
  • To investigate these patterns across different racial/ethnic groups, socioeconomic statuses, and geographic locations.
  • To inform equitable breast cancer screening delivery strategies.

Main Methods:

  • Utilized 2022 Behavioral Risk Factor Surveillance System data.
  • Defined screening participation based on major screening guidelines.
  • Employed modified Poisson regression to assess screening by race/ethnicity, healthcare access, and socioeconomic factors.

Main Results:

  • Non-Hispanic American Indian/Alaskan Native and unknown race women aged 50-74 were less likely to be screened compared to non-Hispanic White women.
  • Non-Hispanic Black women showed higher rates of screening (underscreening and overscreening) across various age and risk groups.
  • Screening participation was consistently lower among women with limited socioeconomic resources.

Conclusions:

  • Social drivers significantly influence both underscreening and overscreening in mammography.
  • Equitable delivery of breast cancer screening requires targeted implementation and de-implementation efforts.
  • Addressing socioeconomic disparities is key to optimizing screening outcomes.