Demographic and socioeconomic disparities in early-onset squamous cell carcinoma of the cervix: A National Cancer Database analysis.

e17525 Background: It has been well established that younger patients are experiencing increasing prevalence of cancers such as breast cancer. However, the generalizability of this phenomenon to other cancers remains unclear. Additionally, it is unclear if this trend will persist among cancers with viable vaccine preventions. This study aims to address this gap by examining trends in squamous cell carcinoma (SCC) of the cervix, specifically comparing patients younger and older than 40 years over time. Methods: Patients diagnosed with squamous cell carcinoma between 2004 and 2022 were identified using the NCDB with histology code 8070. Logistic regression was used to assess the relationship between demographic and socioeconomic variables and the proportion of patients that were younger or older than 40 years. Analyses were conducted using SPSS version 29.0.2.0, with statistical significance set at α = 0.05. Results: According to the multivariate logistic regression, the prevalence of SCC of the cervix in younger patients has increased significantly over the years, with an odds ratio (OR) of 1.004 per year, even while accounting for other variables (95% CI 1.002–1.006, p < 0.001). Additionally, younger patients were less likely to be insured (OR 0.877, 95% CI 0.841–0.916, p < 0.001) and had lower Charlson-Deyo comorbidity scores (OR 0.489, 95% CI 0.474–0.504, p < 0.001). Younger Black patients had a lower likelihood of being diagnosed with SCC compared to their White counterparts (OR 0.842, 95% CI 0.815–0.871, p < 0.001), and uninsured young patients were less likely to have SCC compared to insured patients (OR 0.896, 95% CI 0.892–0.900, p < 0.001). Conclusions: These findings align with the observed rise in cancer incidence among younger patients. Notably, this increase is occurring even in cancers with established vaccine preventions. This study revealed that Black patients and uninsured individuals were less likely to be diagnosed with cervical cancer at a young age, which contrasts with previous research. The factors driving these unexpected trends remain unclear, highlighting the need for further research to better understand these findings. Logistic regression analysis evaluating the association between demographic, socioeconomic, and clinical variables with early-onset squamous cell carcinoma of the cervix. Variable B S.E. Wald df Sig. Exp(B) 95% CI Lower 95% CI Upper Year of Diagnosis 0.004 0.001 13.258 1 <0.001 1.004 1.002 1.006 Treatment Modality -0.11 0.002 2143.743 1 <0.001 0.896 0.892 0.9 Insured vs. Uninsured -0.131 0.022 36.221 1 <0.001 0.877 0.841 0.916 White vs. Black -0.172 0.017 101.131 1 <0.001 0.842 0.815 0.871 Low Income -0.003 0.015 0.033 1 0.857 0.997 0.969 1.027 Charlson-Deyo Score -0.716 0.016 2041.465 1 <0.001 0.489 0.474 0.504 NCDB Analytic Stage Group -0.092 0.003 913.435 1 <0.001 0.912 0.907 0.917 Constant -8.073 2.203 13.428 1 <0.001 0 N/A N/A