1. Epidemiological Study of Adenoid Cystic Carcinoma and Its Outcomes: Insights from the Surveillance, Epidemiology, and End Results (SEER) Database.
- Author
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Rahouma, Mohamed, Khairallah, Sherif, Baudo, Massimo, Al-Thani, Shaikha, Dabsha, Anas, Shenouda, David, Mohamed, Abdelrahman, Dimagli, Arnaldo, El Sherbiny, Magdy, Kamal, Mona, Villena-Vargas, Jonathan, and Chow, Oliver S.
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PUBLIC health surveillance , *SEX distribution , *POPULATION geography , *DESCRIPTIVE statistics , *AGE distribution , *ADENOID cystic carcinoma , *KAPLAN-Meier estimator , *METASTASIS , *CANCER chemotherapy , *SURVIVAL analysis (Biometry) , *CONFIDENCE intervals , *SOCIAL support , *PROPORTIONAL hazards models , *OVERALL survival ,CHEST tumors - Abstract
Simple Summary: This epidemiological study of adenoid cystic carcinoma (ACC) using data from the SEER system aims to investigate independent predictors of late mortality, including factors such as age, stage, and tumor location, as well as racial differences, geographical distribution, and lack of social support (being unmarried). A total of 5150 patients were identified. Our study revealed that stage, tumor location in the thoracic region, and treatment modalities, in addition to geographical distribution (Western region) and lack of social support (being unmarried), were identified as independent predictors of late mortality. While the SEER data are not designed to explain why disease patterns occur, they provide valuable insights into health-related issues that cannot be overlooked. Further studies are needed to determine why the Western region of the USA is associated with poorer survival compared to the Northeast. Objective: Adenoid cystic carcinoma (ACC) is a rare malignant tumor that mainly arises in the head and neck area. We aimed to compare the long-term survival of patients with ACC based on their geographic regions within the United States using the Surveillance, Epidemiology, and End Results (SEER) registry data. Methods: We queried the SEER database to evaluate the geographic distribution of ACC patients based on inpatient admissions. The states included in the study were divided into four geographical regions (Midwest, Northeast, South, and West) based on the U.S. Census Bureau-designated regions and divisions. Demographic and clinical variables were compared between the groups. Kaplan–Meier curves and Cox regression were used to assess late mortality. Results: A total of 5150 patients were included (4.2% from the Midwest, 17.2% from the Northeast, 22.5% from the South, and 56.1% from the West regions). The median follow-up was 12.3 (95% CI: 11.6–13.1 years). Median overall survival was 11.0 (95% CI: 9.2-NR years), 14.3 (95% CI: 12.4–16.4 years), 11.3 (95% CI: 9.7–14.8 years), and 12.0 (95% CI: 11.3–13.0 years) for Midwest, Northeast, South, and West regions, respectively. In multivariable analysis, older age, male sex, thoracic cancer, the presence of regional and distal disease, receiving chemotherapy, not undergoing surgical resection, and being treated in the West vs. Northeast region were found to be independent predictors of poor survival. We identified a significant survival difference between the different regions, with the West exhibiting the worst survival compared to the Northeast region. Conclusions: In addition to the well-known predictors of late mortality in ACC (tumor location, stage, and treatment modalities), our study identified a lack of social support (being unmarried) and geographic location (West region) as independent predictors of late mortality in multivariable analysis. Further research is needed to explore the causal relationships. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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