Literature DB >> 31330423

Temporal trends in net and crude probability of death from cancer and other causes in the Australian population, 1984-2013.

Paramita Dasgupta1, Susanna Cramb2, Kou Kou3, Xue Qin Yu4, Peter D Baade5.   

Abstract

BACKGROUND: While net probabilities of death in the relative survival framework ignore competing causes of death, crude probabilities allow estimation of the real risk of cancer deaths. This study quantifies temporal trends in net and crude probabilities of death.
METHODS: Australian population-based cohort of 2,015,903 people aged 15-89 years, diagnosed with a single primary invasive cancer from 1984 to 2013 with mortality follow-up to 31 December 2014. Survival was analyzed with the cohort method. Flexible parametric relative survival models were used to estimate both probability measures by diagnosis year for all cancers and selected leading sites.
RESULTS: For each site, excess mortality rates reduced over time, especially for prostate cancer. While both the 10-year net and crude probability of cancer deaths decreased over time, specific patterns varied. For example, the crude probability of lung cancer deaths for males aged 50 years decreased from 0.90 (1984) to 0.79 (2013); whereas the corresponding probabilities for kidney cancer were 0.64 and 0.18 respectively. Patterns for crude probabilities of competing deaths were relatively constant. Although for younger patients, both net and crude measures were similar, crude probability of competing deaths increased with age, hence for older ages net and crude measures were different except for lung and pancreas cancers.
CONCLUSIONS: The observed reductions in probabilities of death over three decades for Australian cancer patients are encouraging. However, this study also highlights the ongoing mortality burden following a cancer diagnosis, and the need for continuing efforts to improve cancer prevention, diagnosis and treatment.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Australia; Cancer; Competing causes; Crude probability; Prognosis; Temporal trends

Mesh:

Year:  2019        PMID: 31330423     DOI: 10.1016/j.canep.2019.101568

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  4 in total

1.  Crude probability of death for cancer patients by spread of disease in New South Wales, Australia 1985 to 2014.

Authors:  Xue Qin Yu; Paramita Dasgupta; Clare Kahn; Kou Kou; Susanna Cramb; Peter Baade
Journal:  Cancer Med       Date:  2021-05-06       Impact factor: 4.452

2.  Non-parametric estimation of reference adjusted, standardised probabilities of all-cause death and death due to cancer for population group comparisons.

Authors:  Mark J Rutherford; Therese M-L Andersson; Tor Åge Myklebust; Bjørn Møller; Paul C Lambert
Journal:  BMC Med Res Methodol       Date:  2022-01-06       Impact factor: 4.615

3.  Observed and predicted premature mortality in Australia due to non-communicable diseases: a population-based study examining progress towards the WHO 25X25 goal.

Authors:  Alison Wijnen; Karen Bishop; Grace Joshy; Yuehan Zhang; Emily Banks; Ellie Paige
Journal:  BMC Med       Date:  2022-02-10       Impact factor: 8.775

4.  Quantifying the number of deaths among Aboriginal and Torres Strait Islander cancer patients that could be avoided by removing survival inequalities, Australia 2005-2016.

Authors:  Paramita Dasgupta; Gail Garvey; Peter D Baade
Journal:  PLoS One       Date:  2022-08-26       Impact factor: 3.752

  4 in total

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