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Cancer statistics in the Sakha republic (Yakutia): the potential of GLOBOCAN 2018 database models

https://doi.org/10.25587/SVFU.2019.2(15).31310

Abstract

Cancer incidence and mortality is rising rapidly around the world. In the 21st century, cancer is expected to become the main cause of death and the single most important obstacle to increasing life expectancy in every country. One of the main problems in assessing cancer incidence and mortality is the use of different methods and models that fail to provide the required accuracy to make comparisons, for example, between groups of the population or in the same group in time. Created and distributed by the International Agency for Research on Cancer (IARC), the cancer statistics database GLOBOCAN 2018 largely meets the researchers need in using similar methods and models for different population groups to obtain comparable indicators in cancer research. The methods used in GLOBOCAN 2018 can be attributed to statistical models of increased flexibility. The use of methods and models of GLOBOCAN 2018 for cancer statistics in the Sakha Republic (Yakutia) can open up additional possibilities for determining the characteristics of cancer incidence and mortality in the region. Therefore, the purpose of this research was to establish data sources, the methods and models used in GLOBOCAN 2018 for the Russian Federation.

About the Authors

I. V. Kononova
Department of Epidemiology of Chronic Non-communicable Diseases, Worker of Yakut Scientific Center of Complex Medical Problems Department of Epidemiology of Chronic non-communicable Diseases Laboratory of Precancerogenesis and Malignant Tumors
Russian Federation


V. E. Pakhomov
North-Eastern Federal University named after M.K. Ammosov
Russian Federation


S. N. Mamaeva
North-Eastern Federal University named after M.K. Ammosov
Russian Federation


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Review

For citations:


Kononova I.V., Pakhomov V.E., Mamaeva S.N. Cancer statistics in the Sakha republic (Yakutia): the potential of GLOBOCAN 2018 database models. Vestnik of North-Eastern Federal University. Medical Sciences. 2019;(2):39-42. (In Russ.) https://doi.org/10.25587/SVFU.2019.2(15).31310

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