Literature DB >> 16230004

A population-based study from New South Wales, Australia 1996-2001: area variation in survival from colorectal cancer.

Xue Q Yu1, Dianne L O'connell, Robert W Gibberd, Bruce K Armstrong.   

Abstract

In this study, we have investigated the impact of area of residence on survival from colon and rectal cancer. Relative survival and relative excess risk of death from cancer were calculated for each of 17 health areas in New South Wales, Australia. There were statistically significant differences in survival across areas for both cancers after adjusting for demographic factors. The variation remained for colon cancer but was reduced for rectal cancer after adjustment for spread of disease at diagnosis. This persistent variation in colon cancer survival suggests that variation in treatment contributes to it, and there is separate evidence for such variation. Of the 7186 patients whose deaths within five years were attributable to colorectal cancer, 784 could have had their survival increased to more than five years if the excess risk of death in all areas was reduced to the 20th centile of its distribution. Estimates such as this can assist in prioritizing improvements in cancer services.

Entities:  

Mesh:

Year:  2005        PMID: 16230004     DOI: 10.1016/j.ejca.2005.05.018

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  13 in total

1.  Using G-computation to estimate the effect of regionalization of surgical services on the absolute reduction in the occurrence of adverse patient outcomes.

Authors:  Peter C Austin; David R Urbach
Journal:  Med Care       Date:  2013-09       Impact factor: 2.983

2.  A multilevel study of the determinants of area-level inequalities in colorectal cancer survival.

Authors:  Peter D Baade; Gavin Turrell; Joanne F Aitken
Journal:  BMC Cancer       Date:  2010-01-28       Impact factor: 4.430

3.  Data preparation techniques for a perinatal psychiatric study based on linked data.

Authors:  Fenglian Xu; Lisa Hilder; Marie-Paule Austin; Elizabeth A Sullivan
Journal:  BMC Med Res Methodol       Date:  2012-06-08       Impact factor: 4.615

4.  Geographic remoteness and risk of advanced colorectal cancer at diagnosis in Queensland: a multilevel study.

Authors:  P D Baade; P Dasgupta; J Aitken; G Turrell
Journal:  Br J Cancer       Date:  2011-09-06       Impact factor: 7.640

5.  Geographic remoteness, area-level socioeconomic disadvantage and inequalities in colorectal cancer survival in Queensland: a multilevel analysis.

Authors:  Peter D Baade; Paramita Dasgupta; Joanne F Aitken; Gavin Turrell
Journal:  BMC Cancer       Date:  2013-10-24       Impact factor: 4.430

Review 6.  A systematic review of geographical differences in management and outcomes for colorectal cancer in Australia.

Authors:  Michael J Ireland; Sonja March; Fiona Crawford-Williams; Mandy Cassimatis; Joanne F Aitken; Melissa K Hyde; Suzanne K Chambers; Jiandong Sun; Jeff Dunn
Journal:  BMC Cancer       Date:  2017-02-02       Impact factor: 4.430

7.  Cancer-related hospitalisations and 'unknown' stage prostate cancer: a population-based record linkage study.

Authors:  Qingwei Luo; Xue Qin Yu; David Paul Smith; David Eamon Goldsbury; Claire Cooke-Yarborough; Manish Indravadan Patel; Dianne Lesley O'Connell
Journal:  BMJ Open       Date:  2017-01-11       Impact factor: 2.692

8.  Geographic distribution of the incidence of colorectal cancer in Iran: a population-based study.

Authors:  Fatemeh Khosravi Shadmani; Erfan Ayubi; Salman Khazaei; Mohadeseh Sani; Shiva Mansouri Hanis; Somayeh Khazaei; Mokhtar Soheylizad; Kamyar Mansori
Journal:  Epidemiol Health       Date:  2017-05-17

9.  Socioeconomic inequalities in cancer survival in Scotland 1986-2000.

Authors:  L G Shack; B Rachet; D H Brewster; M P Coleman
Journal:  Br J Cancer       Date:  2007-09-18       Impact factor: 7.640

10.  Estimating the Net Benefit of Improvements in Hospital Performance: G-Computation With Hierarchical Regression Models.

Authors:  Peter C Austin; Douglas S Lee
Journal:  Med Care       Date:  2020-07       Impact factor: 3.178

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