Related Experiment Video
Updated: Jun 28, 2025

06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
261
Investigating Disparities in Hypopharyngeal/Laryngeal Cancer Survival in Florida With Geospatial Mapping Analysis
Uche C Ezeh1, Abdurrahman Al-Awady1, Isabella Buitron2
1Department of Otolaryngology-Head and Neck Surgery, University of Miami Miller School of Medicine, Miami, FL, USA.
Cancer Control : Journal of the Moffitt Cancer Center
|April 16, 2024
Summary
Predictors of survival after hypopharyngeal/laryngeal cancer include sociodemographic and clinical factors. Public health interventions can be guided by these findings to improve outcomes for Florida patients.
Area of Science:
- Oncology
- Public Health
- Epidemiology
Background:
- Hypopharyngeal and laryngeal cancers are significant causes of cancer-related mortality.
- Identifying predictors of overall survival (OS) is crucial for targeted interventions.
Purpose of the Study:
- To identify sociodemographic and clinical predictors of overall survival (OS) in patients with hypopharyngeal or laryngeal cancer in Florida.
- To analyze the geographical variation of mortality rates within the state.
Main Methods:
- Retrospective cohort study using the Florida Cancer Data System (FCDS) from 2010-2017.
- Analysis of 6771 patients diagnosed with hypopharyngeal or laryngeal cancer.
- Univariable and multivariable Cox regression models were used to estimate Hazard Ratios (HRs) for OS.
Main Results:
- Key predictors of worse OS included being single/unmarried, a history of tobacco use, and uninsured status.
- Improved OS was observed in White Hispanics compared to White non-Hispanics, and in women compared to men.
- Mortality rates were highest in census tracts characterized by low income and education levels.
Conclusions:
- Sociodemographic factors (marital status, race/ethnicity, sex) and clinical factors (tobacco use, insurance status, cancer site) significantly impact OS.
- Geographical disparities in mortality rates highlight the need for localized public health strategies.
- These findings provide a basis for developing targeted public health interventions to improve cancer survival in Florida.
Related Concept Videos
Cancer Survival Analysis
345
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...
345
Comparing the Survival Analysis of Two or More Groups
179
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
179

