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Age-specific cancer survival in Estonia: recent trends and data quality

BACKGROUND: A number of population-based studies have demonstrated lower cancer survival in elderly patients than among middle-aged or younger patients. Also, data quality in cancer registries has been shown to be associated with age. The objective of this study was to examine the recent age-specifi...

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Autores principales: Innos, Kaire, Lang, Katrin, Pärna, Kersti, Aareleid, Tiiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4524267/
https://www.ncbi.nlm.nih.gov/pubmed/26251630
http://dx.doi.org/10.2147/CLEP.S87699
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author Innos, Kaire
Lang, Katrin
Pärna, Kersti
Aareleid, Tiiu
author_facet Innos, Kaire
Lang, Katrin
Pärna, Kersti
Aareleid, Tiiu
author_sort Innos, Kaire
collection PubMed
description BACKGROUND: A number of population-based studies have demonstrated lower cancer survival in elderly patients than among middle-aged or younger patients. Also, data quality in cancer registries has been shown to be associated with age. The objective of this study was to examine the recent age-specific cancer survival trends and age-specific quality of cancer data in Estonia. METHODS: Using Estonian Cancer Registry data, we calculated relative survival ratios (RSRs) for eight common cancers in Estonia in 1995–1999 (cohort method) and 2005–2009 (period method) for four major age groups (15–54, 55–64, 65–74, and 75–84 years at diagnosis). The main data quality indicators were calculated, and the age-specific effect of missing death certificate initiated (DCI) cases on survival was estimated comparing 5-year RSRs computed from the complete data set with those from data set without DCI cases. RESULTS: We observed overall rise in 5-year RSR for all eight cancers over the study period, with a considerable variation by age, with the lowest survival among the oldest patients. The widest age gradient in 5-year RSR was seen for bladder cancer (20% units in 2005–2009), followed by cancers of lung (16% units), kidney (15% units), breast and prostate (13% units), stomach and rectum (11% units), and colon (5% units). All data quality indicators, including proportion of cases with unknown stage showed a similar age-related pattern with the lowest quality in the oldest age group. The effect of missing DCI cases on survival estimates increased by age and was around 3% units for prostate and kidney cancers among the oldest patients. CONCLUSION: Young or middle-aged patients in Estonia experienced larger survival gain since the late 1990s than elderly patients. Decreasing quality of cancer registry data along with increasing patient age suggests less thorough clinical investigations in older age groups.
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spelling pubmed-45242672015-08-06 Age-specific cancer survival in Estonia: recent trends and data quality Innos, Kaire Lang, Katrin Pärna, Kersti Aareleid, Tiiu Clin Epidemiol Original Research BACKGROUND: A number of population-based studies have demonstrated lower cancer survival in elderly patients than among middle-aged or younger patients. Also, data quality in cancer registries has been shown to be associated with age. The objective of this study was to examine the recent age-specific cancer survival trends and age-specific quality of cancer data in Estonia. METHODS: Using Estonian Cancer Registry data, we calculated relative survival ratios (RSRs) for eight common cancers in Estonia in 1995–1999 (cohort method) and 2005–2009 (period method) for four major age groups (15–54, 55–64, 65–74, and 75–84 years at diagnosis). The main data quality indicators were calculated, and the age-specific effect of missing death certificate initiated (DCI) cases on survival was estimated comparing 5-year RSRs computed from the complete data set with those from data set without DCI cases. RESULTS: We observed overall rise in 5-year RSR for all eight cancers over the study period, with a considerable variation by age, with the lowest survival among the oldest patients. The widest age gradient in 5-year RSR was seen for bladder cancer (20% units in 2005–2009), followed by cancers of lung (16% units), kidney (15% units), breast and prostate (13% units), stomach and rectum (11% units), and colon (5% units). All data quality indicators, including proportion of cases with unknown stage showed a similar age-related pattern with the lowest quality in the oldest age group. The effect of missing DCI cases on survival estimates increased by age and was around 3% units for prostate and kidney cancers among the oldest patients. CONCLUSION: Young or middle-aged patients in Estonia experienced larger survival gain since the late 1990s than elderly patients. Decreasing quality of cancer registry data along with increasing patient age suggests less thorough clinical investigations in older age groups. Dove Medical Press 2015-07-29 /pmc/articles/PMC4524267/ /pubmed/26251630 http://dx.doi.org/10.2147/CLEP.S87699 Text en © 2015 Innos et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Innos, Kaire
Lang, Katrin
Pärna, Kersti
Aareleid, Tiiu
Age-specific cancer survival in Estonia: recent trends and data quality
title Age-specific cancer survival in Estonia: recent trends and data quality
title_full Age-specific cancer survival in Estonia: recent trends and data quality
title_fullStr Age-specific cancer survival in Estonia: recent trends and data quality
title_full_unstemmed Age-specific cancer survival in Estonia: recent trends and data quality
title_short Age-specific cancer survival in Estonia: recent trends and data quality
title_sort age-specific cancer survival in estonia: recent trends and data quality
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4524267/
https://www.ncbi.nlm.nih.gov/pubmed/26251630
http://dx.doi.org/10.2147/CLEP.S87699
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