Predictors of survival in ovarian cancer: a population-based study by the data the Arkhangelsk Regional cancer-registry
pdf (Русский)

Keywords

population based cancer registry
epidemiological prognostic factors
COVID-19
ovarian cancer
survival

How to Cite

Gromov , D., Svetlakova, A., Chemakina, O., Agaeva, A., Val`kova, L., Dyachenko, A., Bogdanov, D., & Val`kov, M. (2023). Predictors of survival in ovarian cancer: a population-based study by the data the Arkhangelsk Regional cancer-registry. Voprosy Onkologii, 69(3), 406–414. https://doi.org/10.37469/0507-3758-2023-69-3-406-414

Abstract

Ovarian cancer (OC) is the most aggressive among the neoplasms of the female reproductive sphere, the survival rate for OC remains low and varies between countries. The aim of the study was to evaluate the predictors of OC survival in the Arkhangelsk region (AR) over the period 2000-2021 by data of the regional population-based cancer registry. Another objective was to assess the trends of the OC survival during the COVID-19 pandemic.

Materials and methods. Total data on OC for the period 2000-2021 were obtained from the Arkhangelsk Regional Cancer Registry (ARCR). Cancer-specific survival (CSS) was calculated using Life tables and Kaplan-Meier methods. The degree of influence of prognostic factors on CSS was assessed using Cox regression model of proportional risks.

Results. 2703 cases were analyzed. The one-year and 5-year survival of OSV for the entire population was 70.4% (95% confidence interval (CI) 68.6% - 72.1%) and 51.4% (95% CI 49.3% - 53.4%). The 5-year survival rate was 93.1% (95% CI 90,9% – 94,8%), 74,7% (95% CI 69,4% – 79,3%), 29,1% (95% CI 25,7% – 32,6%), 9,4% (95% CI 6,7% – 12.6%) at stages I, II, III, IV, respectively. The significant factors of the unfavorable prognosis were elderly age (the hazard ratios (HR) compared to the subgroup under 39 years 3.6-13.9), rural inhabitance (HR 1.3), uncertain morphology of RS (HR 3.6) and lack of information about cancer-directed treatment (HR 5.8). In the multivariate model, age, stage, and availability of information about treatment had an independent influence on the prognosis. The one-year survival rate during the COVID–19 pandemic was 71.8% (95% CI 65.1% - 77.4%), in 2013-2019 – 73.8% (95% CI 70.9% - 76.5%). Adjusted risk of death for the period 2020-2021 has not changed, compared with the previous period.

Conclusion. In the epidemiological analysis was found that an adverse effect on the outcome of the disease is caused by older age and living in areas remote from the city, which can be partially explained by the higher stage at diagnosis and less often used cancer-directed treatment in these categories of patients. The survival rate of patients during the COVID-19 pandemic did not significantly decrease. A high-resolution study is planned for a more detailed analysis.

https://doi.org/10.37469/0507-3758-2023-69-3-406-414
pdf (Русский)

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