Colon Cancer Survival Among South Asian Americans: A Cross-Sectional Analysis of a National Dataset.

Introduction: Colon cancer (CC) is one of the most common cancers among South Asian Americans (SAAs). The objective of this study was to measure differences in risk-adjusted survival among SAAs with CC compared to non-Hispanic Whites (NHWs) using a representative national dataset from the United States.

Methods: A retrospective analysis of patients with CC in the National Cancer Database (2004-2020) was performed.

Same People, Different Results: Categorizing Cancer Registry Cases Across the Rural-Urban Continuum.

Background: Many rural-urban indexes are utilized in cancer research. This variation introduces inconsistencies between studies. Recommendations on index use have prioritized geographical unit over feasibility of inclusion in analysis.

Survival of the Hmong population diagnosed with colon and rectal cancers in the United States.

Background: The Hmong population constitutes an independent ethnic group historically dispersed throughout Southeast Asia; fallout from the Vietnam War led to their forced migration to the United States as refugees. This study seeks to investigate characteristics of the Hmong population diagnosed with in colorectal cancer (CRC) as well as survival within this population.

Methods: Cases of colon and rectal adenocarcinoma diagnosed between 2004 and 2017 were identified from the National Cancer Database (NCDB).

Treatment Inequity: Examining the Influence of Non-Hispanic Black Race and Ethnicity on Pancreatic Cancer Care and Survival in Wisconsin.

Introduction: We investigated race and ethnicity-based disparities in first course treatment and overall survival among Wisconsin pancreatic cancer patients.

Methods: We identified adults diagnosed with pancreatic adenocarcinoma in the Wisconsin Cancer Reporting System from 2004 through 2017. We assessed race and ethnicity-based disparities in first course of treatment via adjusted logistic regression and overall survival via 4 incremental Cox proportional hazards regression models.