Objectives: Predicted cancer mortality figures are useful for public health planning. We predicted cancer mortality rates in Israel, Hong Kong, Japan, the Philippines, Korea, Australia, Russia and Ukraine for the year 2020 using the most recent available data. We focused on breast cancer. Methods: We obtained cancer death certification and population data from the WHO and the United Nations Population Division databases. We derived figures for 10 major cancer sites and total cancers over 1970-2017. We predicted numbers of deaths and age-standardized mortality rates for 2020 through joinpoint regression models. We calculated the number of avoided deaths from 1994-2020. Results: Overall, total cancer mortality is predicted to decline. Russia had the highest all cancers rates in 2020, 151.9/100 000 men and 79.6 women; the Philippines had the lowest rate in men, 78.0/100 000, Korea in women, 47.5. Stomach cancer rates declined over the whole period in all countries considered, colorectal cancer since the late 1990s. Trends for pancreas were inconsistent. Predicted rates for lung and breast cancer were favourable; women from Hong Kong, Korea and Australia had lung cancer death rates higher than breast ones. Predicted rates for uterine, ovarian, prostate and bladder cancers and leukaemias were downward for most countries. Between 1994 and 2020, over 3.3 million cancer deaths were avoided in the considered countries, except for the Philippines where no reduction was observed. Conclusion: Predicted cancer rates were lower than in the European Union and the USA, even though falls started later and were less marked.

Cancer mortality and predictions for 2020 in selected Australasian countries, Russia and Ukraine / Pizzato, M.; Carioli, G.; Bertuccio, P.; Malvezzi, M.; Levi, F.; Boffetta, P.; Negri, E.; La Vecchia, C.. - In: EUROPEAN JOURNAL OF CANCER PREVENTION. - ISSN 0959-8278. - 30:1(2021), pp. 1-14. [10.1097/CEJ.0000000000000639]

Cancer mortality and predictions for 2020 in selected Australasian countries, Russia and Ukraine

M. Malvezzi;
2021-01-01

Abstract

Objectives: Predicted cancer mortality figures are useful for public health planning. We predicted cancer mortality rates in Israel, Hong Kong, Japan, the Philippines, Korea, Australia, Russia and Ukraine for the year 2020 using the most recent available data. We focused on breast cancer. Methods: We obtained cancer death certification and population data from the WHO and the United Nations Population Division databases. We derived figures for 10 major cancer sites and total cancers over 1970-2017. We predicted numbers of deaths and age-standardized mortality rates for 2020 through joinpoint regression models. We calculated the number of avoided deaths from 1994-2020. Results: Overall, total cancer mortality is predicted to decline. Russia had the highest all cancers rates in 2020, 151.9/100 000 men and 79.6 women; the Philippines had the lowest rate in men, 78.0/100 000, Korea in women, 47.5. Stomach cancer rates declined over the whole period in all countries considered, colorectal cancer since the late 1990s. Trends for pancreas were inconsistent. Predicted rates for lung and breast cancer were favourable; women from Hong Kong, Korea and Australia had lung cancer death rates higher than breast ones. Predicted rates for uterine, ovarian, prostate and bladder cancers and leukaemias were downward for most countries. Between 1994 and 2020, over 3.3 million cancer deaths were avoided in the considered countries, except for the Philippines where no reduction was observed. Conclusion: Predicted cancer rates were lower than in the European Union and the USA, even though falls started later and were less marked.
2021
Cancer mortality and predictions for 2020 in selected Australasian countries, Russia and Ukraine / Pizzato, M.; Carioli, G.; Bertuccio, P.; Malvezzi, M.; Levi, F.; Boffetta, P.; Negri, E.; La Vecchia, C.. - In: EUROPEAN JOURNAL OF CANCER PREVENTION. - ISSN 0959-8278. - 30:1(2021), pp. 1-14. [10.1097/CEJ.0000000000000639]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2942221
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