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Relative mortality in soft tissue sarcoma patients: a Danish population-based cohort study

BACKGROUND: Cancer-specific survival estimates rely on precise and correct data on the cause of death; however, these data can be difficult to acquire, particularly in elderly patients where comorbidity is common. Furthermore, while some deaths are directly related to cancer, others are more complex...

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Autores principales: Maretty-Nielsen, Katja, Aggerholm-Pedersen, Ninna, Keller, Johnny, Safwat, Akmal, Baerentzen, Steen, Pedersen, Alma B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177240/
https://www.ncbi.nlm.nih.gov/pubmed/25239186
http://dx.doi.org/10.1186/1471-2407-14-682
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author Maretty-Nielsen, Katja
Aggerholm-Pedersen, Ninna
Keller, Johnny
Safwat, Akmal
Baerentzen, Steen
Pedersen, Alma B
author_facet Maretty-Nielsen, Katja
Aggerholm-Pedersen, Ninna
Keller, Johnny
Safwat, Akmal
Baerentzen, Steen
Pedersen, Alma B
author_sort Maretty-Nielsen, Katja
collection PubMed
description BACKGROUND: Cancer-specific survival estimates rely on precise and correct data on the cause of death; however, these data can be difficult to acquire, particularly in elderly patients where comorbidity is common. Furthermore, while some deaths are directly related to cancer, others are more complex, with cancer merely contributing. Another, more precise, method is to assess the relative mortality, i.e., mortality in patients compared to the general population. The aims of this study were to describe the relative mortality in soft tissue sarcoma, and to compare the relative mortality with the cancer-specific mortality. METHODS: We included 1246 patients treated for soft tissue sarcoma and 6230 individually age- and sex-matched individuals from the general population. The relative mortality was estimated as rates, and rate ratios adjusted for comorbidity. Mortality rate ratios were computed using the Cox proportional hazard model for 0–5 years and 5–10 years, according to age, sex and level of comorbidity. The cancer-specific mortality was compared to the corresponding relative mortality. RESULTS: The overall 5- and 10-year relative mortality was 32.8% and 36.0%. Patients with low-grade soft tissue sarcoma did not have increased mortality compared with the general population. Soft tissue sarcoma patients had a 4.4 times higher risk of dying within the first five years after diagnosis and a 1.6 times higher risk between five and ten years compared with the general comparison cohort. The relative mortality varied according to age, grade, stage at diagnosis, and level of comorbidity, being highest in younger patients and in patients without comorbidity. The overall 5- and 10-year cancer-specific mortality was underestimated by 1.5 and overestimated by 0.7 percentage points compared to the relative mortality, respectively. No statistical significant difference between the relative and the cancer-specific mortality was found. CONCLUSION: The relative mortality provides an unbiased and accurate method to differentiate between cancer-specific and non-cancer-specific deaths. However, when data on the cause of death is of a sufficient quality, there is no difference between relative mortality and disease-specific mortality based on death certificates. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2407-14-682) contains supplementary material, which is available to authorized users.
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spelling pubmed-41772402014-09-28 Relative mortality in soft tissue sarcoma patients: a Danish population-based cohort study Maretty-Nielsen, Katja Aggerholm-Pedersen, Ninna Keller, Johnny Safwat, Akmal Baerentzen, Steen Pedersen, Alma B BMC Cancer Research Article BACKGROUND: Cancer-specific survival estimates rely on precise and correct data on the cause of death; however, these data can be difficult to acquire, particularly in elderly patients where comorbidity is common. Furthermore, while some deaths are directly related to cancer, others are more complex, with cancer merely contributing. Another, more precise, method is to assess the relative mortality, i.e., mortality in patients compared to the general population. The aims of this study were to describe the relative mortality in soft tissue sarcoma, and to compare the relative mortality with the cancer-specific mortality. METHODS: We included 1246 patients treated for soft tissue sarcoma and 6230 individually age- and sex-matched individuals from the general population. The relative mortality was estimated as rates, and rate ratios adjusted for comorbidity. Mortality rate ratios were computed using the Cox proportional hazard model for 0–5 years and 5–10 years, according to age, sex and level of comorbidity. The cancer-specific mortality was compared to the corresponding relative mortality. RESULTS: The overall 5- and 10-year relative mortality was 32.8% and 36.0%. Patients with low-grade soft tissue sarcoma did not have increased mortality compared with the general population. Soft tissue sarcoma patients had a 4.4 times higher risk of dying within the first five years after diagnosis and a 1.6 times higher risk between five and ten years compared with the general comparison cohort. The relative mortality varied according to age, grade, stage at diagnosis, and level of comorbidity, being highest in younger patients and in patients without comorbidity. The overall 5- and 10-year cancer-specific mortality was underestimated by 1.5 and overestimated by 0.7 percentage points compared to the relative mortality, respectively. No statistical significant difference between the relative and the cancer-specific mortality was found. CONCLUSION: The relative mortality provides an unbiased and accurate method to differentiate between cancer-specific and non-cancer-specific deaths. However, when data on the cause of death is of a sufficient quality, there is no difference between relative mortality and disease-specific mortality based on death certificates. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2407-14-682) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-19 /pmc/articles/PMC4177240/ /pubmed/25239186 http://dx.doi.org/10.1186/1471-2407-14-682 Text en © Maretty-Nielsen et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Maretty-Nielsen, Katja
Aggerholm-Pedersen, Ninna
Keller, Johnny
Safwat, Akmal
Baerentzen, Steen
Pedersen, Alma B
Relative mortality in soft tissue sarcoma patients: a Danish population-based cohort study
title Relative mortality in soft tissue sarcoma patients: a Danish population-based cohort study
title_full Relative mortality in soft tissue sarcoma patients: a Danish population-based cohort study
title_fullStr Relative mortality in soft tissue sarcoma patients: a Danish population-based cohort study
title_full_unstemmed Relative mortality in soft tissue sarcoma patients: a Danish population-based cohort study
title_short Relative mortality in soft tissue sarcoma patients: a Danish population-based cohort study
title_sort relative mortality in soft tissue sarcoma patients: a danish population-based cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177240/
https://www.ncbi.nlm.nih.gov/pubmed/25239186
http://dx.doi.org/10.1186/1471-2407-14-682
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