Incidence and Mortality due to Colorectal Cancer in Mongolia, 2018-2022

Document Type : Research Articles

Authors

1 Department of Oncology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.

2 Department of General Surgery, Second State Central Hospital, Ulaanbaatar, Mongolia.

3 Department of Internal Medicine, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Mongolia.

4 Department of Registry-Surveillance, Early Detection, National Cancer Center of Mongolia, Ulaanbaatar, Mongolia.

Abstract

Objective: We aimed to update data on the morbidity and mortality rate of colorectal cancer (CRC) among the population of Mongolia by province between 2018 and 2022. Methods: This study was designed using a descriptive method. The data were collected from 21 general hospitals of provinces, 9 general hospitals of districts, and the National Cancer Center in 2018–2022. The incidence and mortality were calculated as mean annual numbers per 100,000 populations. The age-standardized rate (ASR) was utilized by the direct method, and it was rated by weighted average of age-specific incidence rates against the world population. Result: In the country, a total of 1316 new cases were diagnosed and 782 deaths were caused by CRC in the last 5 years (2018–2022). The incidence of CRC in the last 5 years (2018–2022) was 7.9 per 100,000 populations, and the mortality rate was 4.7 per 100,000. The provinces of Orkhon (12), Khentii (11), and Central (10) reported the highest incidences of CRC, whereas the provinces of Sukhbaatar (6.9), Selenge (6.6), Dornod (6), and Darkhan-Uul (6) had the highest death rates (per 100,000 populations). The incidence of CRC didn’t differ statistically significantly between men and women. Additionally, the estimated incidence has grown dramatically with patients’ ages. Conclusion: Our study presents evidence of a steadily increasing CRC incidence in Mongolia over the past five years. Therefore, it is necessary to determine the distribution of risk factors, learn from 

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