Systematic analysis and prediction for disease burden of ovarian cancer attributable to hyperglycemia: a comparative study between China and the world from 1990 to 2019

Peihong Wu; Qingtao Jiang; Lei Han; Xin Liu

doi:10.3389/fmed.2023.1145487

Systematic analysis and prediction for disease burden of ovarian cancer attributable to hyperglycemia: a comparative study between China and the world from 1990 to 2019

Front Med (Lausanne). 2023 Apr 13:10:1145487. doi: 10.3389/fmed.2023.1145487. eCollection 2023.

Authors

Peihong Wu^#^{1

2}, Qingtao Jiang^#³, Lei Han^{1

2}, Xin Liu^{1

2}

Affiliations

¹ Institute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
² Jiangsu Preventive Medicine Association, Nanjing, China.
³ Department of Clinical Medicine, Jiangsu Health Vocational College, Nanjing, China.

^# Contributed equally.

Abstract

Background: Ovarian cancer is one of the most common female malignancies worldwide, and metabolic factors, such as hyperglycemia, are becoming potential risk factors. This study aimed to analyze the disease burden and its changing trend of ovarian cancer attributable to hyperglycemia in the Chinese population from 1990 to 2019.

Methods: Using the data released by the Global Burden of Disease study 2019 (GBD 2019), we analyze the disease burden of ovarian cancer attributable to hyperglycemia in Chinese from 1990 to 2019 via morbidity, death, disability-adjusted life years (DALY); compare it with the global population; and predict the incidence and death trend in Chinese women for the next 10 years (2020-2029).

Results: The incidence, death cases, and DALY numbers of ovarian cancer attributable to hyperglycemia in Chinese in 2019 were 2,751, 1,758, and 44,615 person-years, respectively, with an increase of 352.5%, 356.6%, and 329.0% compared with 1990, and the growth rate was higher than the global level. The age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized DALY rate (ASDR) in 2019 were 0.270/100,000, 0.164/100,000, and 4.103/100,000, respectively. Moreover, the average annual percent changes (AAPCs) were 2.3%, 2.0%, and 2.0%, respectively, all higher than the global average. The disease burden of ovarian cancer attributable to hyperglycemia increased with age, reaching a peak in the 45-75 age group. The prediction of the neural network model showed that the incidence and death of the disease would remain high and rise in the next 10 years.

Conclusion: The disease burden caused by ovarian cancer attributable to hyperglycemia in Chinese accounts for a large proportion globally, and the ASIR, ASMR, and ASDR are increasing year by year. We should continue to pay attention to the role of metabolic factors, such as hyperglycemia, in the occurrence and development of ovarian cancer, perform a good job in tertiary prevention, and strive to reduce health losses.

Keywords: disease burden; hyperglycemia; ovarian cancer; prediction; trend.

Grants and funding

This study was supported by the Jiangsu Provincial Social Development Program of Key R&D Project (BE2022803), the Natural Science Foundation of Jiangsu (BK20201485), and the Scientific Research Project of Jiangsu Health Commission (M2022036).