Survival disparities in non-Hispanic Black and White cervical cancer patients vary by histology and are largely explained by modifiable factors

Gynecol Oncol. 2024 May:184:224-235. doi: 10.1016/j.ygyno.2024.02.005. Epub 2024 Feb 10.

Abstract

Purpose: We investigated racial disparities in survival by histology in cervical cancer and examined the factors contributing to these disparities.

Methods: Non-Hispanic Black and non-Hispanic White (hereafter known as Black and White) patients with stage I-IV cervical carcinoma diagnosed between 2004 and 2017 in the National Cancer Database were studied. Survival differences were compared using Cox modeling to estimate hazard ratio (HR) or adjusted HR (AHR) and 95% confidence interval (CI). The contribution of demographic, socioeconomic and clinical factors to the Black vs White differences in survival was estimated after applying propensity score weighting in patients with squamous cell carcinoma (SCC) or adenocarcinoma (AC).

Results: This study included 10,111 Black and 43,252 White patients with cervical cancer. Black patients had worse survival than White cervical cancer patients (HR = 1.40, 95% CI = 1.35-1.45). Survival disparities between Black and White patients varied significantly by histology (HR = 1.20, 95% CI = 1.15-1.24 for SCC; HR = 2.32, 95% CI = 2.12-2.54 for AC, interaction p < 0.0001). After balancing the selected demographic, socioeconomic and clinical factors, survival in Black vs. White patients was no longer different in those with SCC (AHR = 1.01, 95% CI 0.97-1.06) or AC (AHR = 1.09, 95% CI = 0.96-1.24). In SCC, the largest contributors to survival disparities were neighborhood income and insurance. In AC, age was the most significant contributor followed by neighborhood income, insurance, and stage. Diagnosis of AC (but not SCC) at ≥65 years old was more common in Black vs. White patients (26% vs. 13%, respectively).

Conclusions: Histology matters in survival disparities and diagnosis at ≥65 years old between Black and White cervical cancer patients. These disparities were largely explained by modifiable factors.

Keywords: Adenocarcinoma; Cervical cancer; NCDB; Propensity score analysis; Racial disparities; Squamous cell carcinoma.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adenocarcinoma / ethnology
  • Adenocarcinoma / mortality
  • Adenocarcinoma / pathology
  • Adult
  • Aged
  • Black or African American* / statistics & numerical data
  • Carcinoma, Squamous Cell* / ethnology
  • Carcinoma, Squamous Cell* / mortality
  • Carcinoma, Squamous Cell* / pathology
  • Female
  • Health Status Disparities
  • Healthcare Disparities / ethnology
  • Healthcare Disparities / statistics & numerical data
  • Humans
  • Middle Aged
  • Neoplasm Staging
  • Proportional Hazards Models
  • Socioeconomic Factors
  • United States / epidemiology
  • Uterine Cervical Neoplasms* / ethnology
  • Uterine Cervical Neoplasms* / mortality
  • Uterine Cervical Neoplasms* / pathology
  • White People* / statistics & numerical data