Abstract

An increasing number of studies have identified spatial differences in breast cancer survival. However little is known about whether the structure and dynamics of this spatial inequality are consistent across a region. This study aims to evaluate the spatially varying nature of predictors of spatial inequality in relative survival for women diagnosed with breast cancer across Queensland, Australia. All Queensland women aged less than 90 years diagnosed with invasive breast cancer from 1997 to 2007 and followed up to the end of 2008 were extracted from linked Queensland Cancer Registry and BreastScreen Queensland data. Bayesian relative survival models were fitted using various model structures (a spatial regression model, a varying coefficient model and a finite mixture of regressions model) to evaluate the relative excess risk of breast cancer, with the use of Markov chain Monte Carlo computation. The spatially varying coefficient models revealed that some covariate effects may not be constant across the geographic regions of the study. The overall spatial patterns showed lower survival among women living in more remote areas, and higher survival among the urbanised south-east corner. Notwithstanding this, the spatial survival pattern for younger women contrasted with that for older women as well as single women. This complex spatial interplay may be indicative of different factors impacting on survival patterns for these women.

Highlights

  • The association between risk factors and small-area health outcomes of breast cancer patients is of key interest

  • Very similar constant covariate effects were observed in the varying coefficient and finite mixture of regressions model

  • Using a population-based cohort of Queensland women diagnosed with breast cancer, this study has presented the use of spatial regression, spatially varying coefficient regression models and finite mixture of regressions models to quantify how the impact of patient characteristics and clinical factors on relative survival outcomes varies by geographical location

Read more

Summary

Introduction

The association between risk factors and small-area health outcomes of breast cancer patients is of key interest. Previous studies have used Bayesian spatial regression models to examine small-area variation in relative survival for breast cancer in Spain [1] and Australia [2,3,4]. In the latter studies, a range of patient characteristics, including women’s age at diagnosis, PLOS ONE | DOI:10.1371/journal.pone.0155086. Evaluating How the Impact of Patient Characteristics on Breast Cancer Survival Varies by Location A range of patient characteristics, including women’s age at diagnosis, PLOS ONE | DOI:10.1371/journal.pone.0155086 May 5, 2016

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call