Understanding mortality trends in patients with uterine malignancies from 1999 to 2023 utilizing the CDC WONDER database.

Authors

Shannon Blee, Sun Young Guwn, Olivia Foley, Taylor Billion, Peter Silberstein, Abubakar Tauseef

Published in

Journal of gynecologic oncology. Jun 16, 2026. Epub Jun 16, 2026.

Abstract

Uterine cancer incidence is increasing in the United States. This study aims to evaluate current malignant uterine neoplasm-related mortality in the US and investigate potential disparities that exist between differing demographic groups.
Data was gathered from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database, and mortality trends due to malignant uterine neoplasms in patients aged 25 to 85+ years old in the US were analyzed from 1999 to 2023. Joinpoint regression was utilized for data analysis. Age-adjusted mortality rate (AAMR) and average annual percent change (AAPC) were examined. Data was stratified by race, age, region, urban vs. rural, and state.
Between 1999 and 2023, there were 262,431 malignant uterine neoplasm-related deaths in the US. Overall, mortality increased between 1999 and 2023 (AAPC, 1.15^*). Black/African American patients consistently had the highest AAMR among all other races, although all races experienced a significant increase in AAMR throughout the study period. The Northeast and Midwest experienced consistently higher AAMRs compared to other regions, while the South experienced the largest overall increase in AAMR (AAPC, 1.37^*). Urban and rural areas both experienced significant increases in malignant uterine neoplasm-related mortality (AAPCs 0.89^* and 0.76^*, respectively), while older age cohorts correlated with higher AAMR.
Overall, disparities in malignant uterine neoplasms related mortality exist, and Black/African American and older patients are disproportionately affected. Therefore, more must be done to not only prevent but treat this disease, particularly in Black/African American and older patients.

PMID:
42363577
Bibliographic data and abstract were imported from PubMed on 27 Jun 2026.

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