ArticlePloS one2016
Incidence and Mortality Trends in German Women with Breast Cancer Using Age, Period and Cohort 1999 to 2008.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Trends in Incidence and Mortality of Gynecological and Breast Cancers in Poland (1980-2018).Clinical epidemiology · 2022Article
- National and Subnational Incidence, Mortality, and Years of Life Lost Due to Breast Cancer in Iran: Trends and Age-Period-Cohort Analysis Since 1990.Frontiers in oncology · 2021Article
- Article
- Article
- Increasing risk of diabetes mellitus in postmenopausal women with newly diagnosed primary breast cancer.Journal of diabetes investigation · 2020Article
- Cancer mortality in Serbia, 1991-2015: an age-period-cohort and joinpoint regression analysis.Cancer communications (London, England) · 2018Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Longitudinal analysis investigates period (P), often as years. Additional scales of time are age (A) and birth cohort (C) Aim of our study was to use ecological APC analysis for women breast cancer incidence and mortality in Germany. Nation-wide new cases and deaths were obtained from Robert Koch Institute and female population from federal statistics, 1999-2008. Data was stratified into ten 5-years age-groups starting 20-24 years, ten birth cohorts starting 1939-43, and two calendar periods 1999-2003 and 2004-2008. Annual incidence and mortality were calculated: cases to 100,000 women per year. Data was analyzed using glm and apc packages of R. Breast cancer incidence and mortality increased with age. Secular rise in breast cancer incidence and decline in mortality was observed for period 1999-2008. Breast cancer incidence and mortality declined with cohorts; cohorts 1950s showed highest incidence and mortality. Age-cohort best explained incidence and mortality followed by age-period-cohort with overall declining trends. Declining age-cohort mortality could be probable. Declining age-cohort incidence would require future biological explanations or rendered statistical artefact. Cohorts 1949-1958 could be unique in having highest incidence and mortality in recent time or future period associations could emerge relatively stronger to cohort to provide additional explanation of temporal change over cohorts.
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