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An analysis of time trends in breast and prostate cancer mortality rates in Lithuania, 1986–2020

BACKGROUND: Breast cancer (BC) and prostate cancer (PC) mortality rates in Lithuania remain comparatively high despite the ongoing BC and PC screening programmes established in 2006. The aim of this study was to investigate time trends in BC and PC mortality rates in Lithuania evaluating the effects...

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Autores principales: Everatt, Rūta, Gudavičienė, Daiva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508783/
https://www.ncbi.nlm.nih.gov/pubmed/36151551
http://dx.doi.org/10.1186/s12889-022-14207-4
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author Everatt, Rūta
Gudavičienė, Daiva
author_facet Everatt, Rūta
Gudavičienė, Daiva
author_sort Everatt, Rūta
collection PubMed
description BACKGROUND: Breast cancer (BC) and prostate cancer (PC) mortality rates in Lithuania remain comparatively high despite the ongoing BC and PC screening programmes established in 2006. The aim of this study was to investigate time trends in BC and PC mortality rates in Lithuania evaluating the effects of age, calendar period of death, and birth-cohort over a 35-year time span. METHODS: We obtained death certification data for BC in women and PC in men for Lithuania during the period 1986–2020 from the World Health Organisation database. Age-standardised mortality rates were analysed using Joinpoint regression. Age-period-cohort models were used to assess the independent age, period and cohort effects on the observed mortality trends. RESULTS: Joinpoint regression analysis indicated that BC mortality increased by 1.6% annually until 1996, and decreased by − 1.2% annually thereafter. The age-period-cohort analysis suggests that temporal trends in BC mortality rates could be attributed mainly to cohort effects. The cohort effect curvature showed the risk of BC death increased in women born prior to 1921, remained stable in cohorts born around 1921–1951 then decreased; however, trend reversed in more recent generations. The period effect curvature displayed a continuous decrease in BC mortality since 1991–1995. For PC mortality, after a sharp increase by 3.0%, rates declined from 2007 by − 1.7% annually. The period effect was predominant in PC mortality, the curvature displaying a sharp increase until 2001–2005, then decrease. CONCLUSIONS: Modestly declining recent trends in BC and PC mortality are consistent with the introduction of widespread mammography and PSA testing, respectively, lagging up to 10 years. The study did not show that screening programme introduction played a key role in BC mortality trends in Lithuania. Screening may have contributed to favourable recent changes in PC mortality rates in Lithuania, however the effect was moderate and limited to age groups < 65 years. Further improvements in early detection methods followed by timely appropriate treatment are essential for decreasing mortality from BC and PC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14207-4.
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spelling pubmed-95087832022-09-25 An analysis of time trends in breast and prostate cancer mortality rates in Lithuania, 1986–2020 Everatt, Rūta Gudavičienė, Daiva BMC Public Health Research BACKGROUND: Breast cancer (BC) and prostate cancer (PC) mortality rates in Lithuania remain comparatively high despite the ongoing BC and PC screening programmes established in 2006. The aim of this study was to investigate time trends in BC and PC mortality rates in Lithuania evaluating the effects of age, calendar period of death, and birth-cohort over a 35-year time span. METHODS: We obtained death certification data for BC in women and PC in men for Lithuania during the period 1986–2020 from the World Health Organisation database. Age-standardised mortality rates were analysed using Joinpoint regression. Age-period-cohort models were used to assess the independent age, period and cohort effects on the observed mortality trends. RESULTS: Joinpoint regression analysis indicated that BC mortality increased by 1.6% annually until 1996, and decreased by − 1.2% annually thereafter. The age-period-cohort analysis suggests that temporal trends in BC mortality rates could be attributed mainly to cohort effects. The cohort effect curvature showed the risk of BC death increased in women born prior to 1921, remained stable in cohorts born around 1921–1951 then decreased; however, trend reversed in more recent generations. The period effect curvature displayed a continuous decrease in BC mortality since 1991–1995. For PC mortality, after a sharp increase by 3.0%, rates declined from 2007 by − 1.7% annually. The period effect was predominant in PC mortality, the curvature displaying a sharp increase until 2001–2005, then decrease. CONCLUSIONS: Modestly declining recent trends in BC and PC mortality are consistent with the introduction of widespread mammography and PSA testing, respectively, lagging up to 10 years. The study did not show that screening programme introduction played a key role in BC mortality trends in Lithuania. Screening may have contributed to favourable recent changes in PC mortality rates in Lithuania, however the effect was moderate and limited to age groups < 65 years. Further improvements in early detection methods followed by timely appropriate treatment are essential for decreasing mortality from BC and PC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14207-4. BioMed Central 2022-09-23 /pmc/articles/PMC9508783/ /pubmed/36151551 http://dx.doi.org/10.1186/s12889-022-14207-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Everatt, Rūta
Gudavičienė, Daiva
An analysis of time trends in breast and prostate cancer mortality rates in Lithuania, 1986–2020
title An analysis of time trends in breast and prostate cancer mortality rates in Lithuania, 1986–2020
title_full An analysis of time trends in breast and prostate cancer mortality rates in Lithuania, 1986–2020
title_fullStr An analysis of time trends in breast and prostate cancer mortality rates in Lithuania, 1986–2020
title_full_unstemmed An analysis of time trends in breast and prostate cancer mortality rates in Lithuania, 1986–2020
title_short An analysis of time trends in breast and prostate cancer mortality rates in Lithuania, 1986–2020
title_sort analysis of time trends in breast and prostate cancer mortality rates in lithuania, 1986–2020
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508783/
https://www.ncbi.nlm.nih.gov/pubmed/36151551
http://dx.doi.org/10.1186/s12889-022-14207-4
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