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Long-Term Projections of Cancer Incidence and Mortality in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2054: An Empirical Validation Approach
by
Katanoda, Kota
, Nguyen, Phuong The
, Saito, Eiko
in
Age groups
/ Aging
/ Breast cancer
/ Cancer
/ Cancer screening
/ Control programs
/ Decomposition
/ Demographics
/ Epidemiology
/ Fertility
/ Forecasts and trends
/ Gender
/ Generalized linear models
/ Mathematical models
/ Mortality
/ Older people
/ Patient outcomes
/ Population
/ Population decline
/ Prostate
/ Quality of life
/ Risk factors
/ Statistical analysis
/ Statistics
/ Trends
2022
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Long-Term Projections of Cancer Incidence and Mortality in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2054: An Empirical Validation Approach
by
Katanoda, Kota
, Nguyen, Phuong The
, Saito, Eiko
in
Age groups
/ Aging
/ Breast cancer
/ Cancer
/ Cancer screening
/ Control programs
/ Decomposition
/ Demographics
/ Epidemiology
/ Fertility
/ Forecasts and trends
/ Gender
/ Generalized linear models
/ Mathematical models
/ Mortality
/ Older people
/ Patient outcomes
/ Population
/ Population decline
/ Prostate
/ Quality of life
/ Risk factors
/ Statistical analysis
/ Statistics
/ Trends
2022
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Long-Term Projections of Cancer Incidence and Mortality in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2054: An Empirical Validation Approach
by
Katanoda, Kota
, Nguyen, Phuong The
, Saito, Eiko
in
Age groups
/ Aging
/ Breast cancer
/ Cancer
/ Cancer screening
/ Control programs
/ Decomposition
/ Demographics
/ Epidemiology
/ Fertility
/ Forecasts and trends
/ Gender
/ Generalized linear models
/ Mathematical models
/ Mortality
/ Older people
/ Patient outcomes
/ Population
/ Population decline
/ Prostate
/ Quality of life
/ Risk factors
/ Statistical analysis
/ Statistics
/ Trends
2022
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Long-Term Projections of Cancer Incidence and Mortality in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2054: An Empirical Validation Approach
Journal Article
Long-Term Projections of Cancer Incidence and Mortality in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020–2054: An Empirical Validation Approach
2022
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Overview
Purpose: The aim of this study was to project new cancer cases/deaths forward to 2054, and decompose changes in cancer cases/deaths to assess the impact of demographic transitions on cancer burden. Methods: We collected data on cancer cases/deaths up to 2019, empirically validated the projection performance of multiple statistical models, and selected optimal models by applying time series cross-validation. Results: We showed an increasing number of new cancer cases but decreasing number of cancer deaths in both genders, with a large burden attributed to population aging. We observed the increasing incidence rates in most cancer sites but reducing rates in some infection-associated cancers, including stomach and liver cancers. Colorectal and lung cancers were projected to remain as leading cancer burdens of both incidence and mortality in Japan over 2020–2054, while prostate and female breast cancers would be the leading incidence burdens among men and women, respectively. Conclusions: Findings from decomposition analysis require more supportive interventions for reducing mortality and improving the quality of life of Japanese elders. We emphasize the important role of governments and policymakers in reforming policies for controlling cancer risk factors, including oncogenic infections. The rapid increase and continued presence of those cancer burdens associated with modifiable risk factors warrant greater efforts in cancer control programs, specifically in enhancing cancer screening and controlling cancer risk factors in Japan.
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