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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...
Factorial Design02:01

Factorial Design

Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
Relative Risk01:12

Relative Risk

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...
Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...

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Related Experiment Video

Updated: Jun 11, 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

Spatial Disparities in Stage-Specific Breast Cancer Incidence and Area-Level Risk Factors in Korea, 2005-2018.

Eun Hye Park1,2, Kyu-Won Jung3,4, Seung-Sik Hwang5

  • 1Korea Central Cancer Registry, National Cancer Center, Goyang, Korea.

Cancer Research and Treatment
|June 9, 2026
PubMed
Summary

Spatial disparities in breast cancer stage at diagnosis in Korea are linked to area-level factors like deprivation and healthcare access. Addressing these disparities is crucial for improving early detection and patient outcomes.

Keywords:
Breast neoplasmsIncidenceKoreaNeoplasm stagingSpatial analysis

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Last Updated: Jun 11, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

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Published on: October 23, 2020

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Area of Science:

  • Oncology
  • Public Health
  • Spatial Epidemiology

Background:

  • Despite a national breast cancer screening program in Korea, significant spatial variations in diagnosis stage persist.
  • These disparities can lead to unequal treatment outcomes and reduced survival rates.

Purpose of the Study:

  • To investigate the spatial disparities in breast cancer incidence by stage at diagnosis across Korean municipalities.
  • To examine the association between these stage-specific incidence patterns and area-level risk factors.

Main Methods:

  • A population-based ecological study utilized data from the Korea National Cancer Incidence Database (2005-2018).
  • Stage-specific breast cancer incidence was estimated for 250 municipalities over three time periods.
  • Bayesian hierarchical models assessed associations with area deprivation index (ADI), obesity, alcohol consumption, screening rates, and mammography availability.

Main Results:

  • Localized-stage breast cancer incidence was higher in affluent areas, while distant-stage incidence was more prevalent in deprived areas.
  • Lower ADI, lower obesity rates, and higher mammography availability were linked to higher localized-stage incidence.
  • Higher ADI and increased alcohol consumption were significantly associated with higher distant-stage incidence.

Conclusions:

  • Spatial disparities in breast cancer stage at diagnosis in Korea are influenced by area-level socioeconomic status, healthcare resources, and lifestyle behaviors.
  • Integrating spatial analysis into cancer control strategies is essential for promoting equitable early detection and improving breast cancer outcomes.