Survival Analysis of Radiation Therapy in Ovarian Cancer: A SEER Database Analysis
Background and purpose. A large sample size study on survival analysis of radiotherapy in ovarian cancer is deficient. This study aimed to explore the survival impact of radiotherapy in ovarian cancer. Materials and methods. Data of patients diagnosed with ovarian cancer between 2010 and 2015 were c...
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Veröffentlicht in: | Journal of oncology 2021, Vol.2021, p.8849039-11 |
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Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Background and purpose. A large sample size study on survival analysis of radiotherapy in ovarian cancer is deficient. This study aimed to explore the survival impact of radiotherapy in ovarian cancer. Materials and methods. Data of patients diagnosed with ovarian cancer between 2010 and 2015 were collected from Surveillance, Epidemiology, and End Results (SEER) Database. Survival comparisons were analyzed using Kaplan–Meier analysis and log-rank tests. Univariate and multivariate Cox regression analyses were used to select predictors associated with survival. Propensity score matching (PSM) analysis was employed to balance baseline variables. Results. A total of 20031 ovarian cancer patients were included, with 291 (1.45%) patients who received radiotherapy. The median overall survival (OS) in patients who received radiotherapy was shorter than which in patients without radiotherapy (23 vs. 75 months, P |
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ISSN: | 1687-8450 1687-8450 |
DOI: | 10.1155/2021/8849039 |