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Estimating the change in life expectancy after a diagnosis of cancer among the Australian population

OBJECTIVES: Communication of relevant prognostic information is critical in helping patients understand the implications of their cancer diagnosis. We describe measures of prognosis to help communicate relevant prognostic information to improve patients’ understanding of the implications of their ca...

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Autores principales: Baade, Peter D, Youlden, Danny R, Andersson, Therese M-L, Youl, Philippa H, Kimlin, Michael G, Aitken, Joanne F, Biggar, Robert J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401853/
https://www.ncbi.nlm.nih.gov/pubmed/25869684
http://dx.doi.org/10.1136/bmjopen-2014-006740
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author Baade, Peter D
Youlden, Danny R
Andersson, Therese M-L
Youl, Philippa H
Kimlin, Michael G
Aitken, Joanne F
Biggar, Robert J
author_facet Baade, Peter D
Youlden, Danny R
Andersson, Therese M-L
Youl, Philippa H
Kimlin, Michael G
Aitken, Joanne F
Biggar, Robert J
author_sort Baade, Peter D
collection PubMed
description OBJECTIVES: Communication of relevant prognostic information is critical in helping patients understand the implications of their cancer diagnosis. We describe measures of prognosis to help communicate relevant prognostic information to improve patients’ understanding of the implications of their cancer diagnosis. SETTING: Australia-wide population-based cancer registry cohort. PARTICIPANTS: 870 878 patients aged 15–89 years diagnosed with invasive cancer between 1990 and 2007, with mortality follow-up information to December 2010. PRIMARY AND SECONDARY OUTCOME MEASURES: Flexible parametric models were used to estimate loss of life expectancy (LOLE), remaining life expectancy (RLE) and 10-year cumulative probability of cancer-specific death (1-relative survival). RESULTS: On average, Australians diagnosed with cancer at age 40 years faced losing an average of 11.2 years of life (95% CI 11.1 to 11.4) due to their cancer, while those diagnosed at 80 years faced losing less, an average of 3.9 years (3.9 to 4.0) because of higher competing mortality risks. In contrast, younger people had lower estimated cumulative probabilities of cancer-specific death within 10 years (40 years: 21.5%, 21.4% to 22.1%) compared with older people (80 years: 55.4%, 55.0% to 55.9%). The patterns for individual cancers varied widely, both by cancer type and by age within cancer type. CONCLUSIONS: The LOLE and RLE measures provide complementary messages to standard relative survival estimates (expressed here in terms of cumulative probability of cancer-specific death). Importantly, relative survival per se underplays the greater absolute impact that a cancer diagnosis has at a younger age on LOLE. When presented in isolation for all cancers, it may provide a misleading impression of future mortality burden of cancer overall, and furthermore, it will obscure patterns of mortality by type and by age data within type. Alternative measures of LOLE, therefore, provide important communication about mortality risk to patients with cancer worldwide and should be incorporated into standard reporting and dissemination strategies.
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spelling pubmed-44018532015-04-29 Estimating the change in life expectancy after a diagnosis of cancer among the Australian population Baade, Peter D Youlden, Danny R Andersson, Therese M-L Youl, Philippa H Kimlin, Michael G Aitken, Joanne F Biggar, Robert J BMJ Open Research Methods OBJECTIVES: Communication of relevant prognostic information is critical in helping patients understand the implications of their cancer diagnosis. We describe measures of prognosis to help communicate relevant prognostic information to improve patients’ understanding of the implications of their cancer diagnosis. SETTING: Australia-wide population-based cancer registry cohort. PARTICIPANTS: 870 878 patients aged 15–89 years diagnosed with invasive cancer between 1990 and 2007, with mortality follow-up information to December 2010. PRIMARY AND SECONDARY OUTCOME MEASURES: Flexible parametric models were used to estimate loss of life expectancy (LOLE), remaining life expectancy (RLE) and 10-year cumulative probability of cancer-specific death (1-relative survival). RESULTS: On average, Australians diagnosed with cancer at age 40 years faced losing an average of 11.2 years of life (95% CI 11.1 to 11.4) due to their cancer, while those diagnosed at 80 years faced losing less, an average of 3.9 years (3.9 to 4.0) because of higher competing mortality risks. In contrast, younger people had lower estimated cumulative probabilities of cancer-specific death within 10 years (40 years: 21.5%, 21.4% to 22.1%) compared with older people (80 years: 55.4%, 55.0% to 55.9%). The patterns for individual cancers varied widely, both by cancer type and by age within cancer type. CONCLUSIONS: The LOLE and RLE measures provide complementary messages to standard relative survival estimates (expressed here in terms of cumulative probability of cancer-specific death). Importantly, relative survival per se underplays the greater absolute impact that a cancer diagnosis has at a younger age on LOLE. When presented in isolation for all cancers, it may provide a misleading impression of future mortality burden of cancer overall, and furthermore, it will obscure patterns of mortality by type and by age data within type. Alternative measures of LOLE, therefore, provide important communication about mortality risk to patients with cancer worldwide and should be incorporated into standard reporting and dissemination strategies. BMJ Publishing Group 2015-04-13 /pmc/articles/PMC4401853/ /pubmed/25869684 http://dx.doi.org/10.1136/bmjopen-2014-006740 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Research Methods
Baade, Peter D
Youlden, Danny R
Andersson, Therese M-L
Youl, Philippa H
Kimlin, Michael G
Aitken, Joanne F
Biggar, Robert J
Estimating the change in life expectancy after a diagnosis of cancer among the Australian population
title Estimating the change in life expectancy after a diagnosis of cancer among the Australian population
title_full Estimating the change in life expectancy after a diagnosis of cancer among the Australian population
title_fullStr Estimating the change in life expectancy after a diagnosis of cancer among the Australian population
title_full_unstemmed Estimating the change in life expectancy after a diagnosis of cancer among the Australian population
title_short Estimating the change in life expectancy after a diagnosis of cancer among the Australian population
title_sort estimating the change in life expectancy after a diagnosis of cancer among the australian population
topic Research Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401853/
https://www.ncbi.nlm.nih.gov/pubmed/25869684
http://dx.doi.org/10.1136/bmjopen-2014-006740
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