Geographic variation in prostate cancer survival in New South Wales

Yu, Xue Qin; Luo, Qingwei; Smith, David P.; O’Connell, Dianne; Baade, Peter D.

doi:10.5694/mja13.11134

Cited by 47 publications

(61 citation statements)

References 24 publications

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“…The higher risk of progression to metastatic prostate cancer observed for men living in inner regional, rural or more disadvantaged areas may be partly attributed to differences in patterns of care due to difficulties associated with the access and provision of cancer services. The geographical variation in the risk of progression to metastatic prostate cancer is consistent with that reported in a previous study in survival differences by geographical location and SES [25].…”

Section: Discussionsupporting

confidence: 89%

A population-based study of progression to metastatic prostate cancer in Australia

Luo

Smith

et al. 2015

Cancer Epidemiology

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Section: Discussionsupporting

confidence: 89%

A population-based study of progression to metastatic prostate cancer in Australia

Luo

Smith

et al. 2015

Cancer Epidemiology

Self Cite

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“…Ninety-five percent confidence intervals (CIs) for the geographical units were calculated using the estimated coefficients and standard errors from the negative binomial regression model. We then added an interaction term for geographical unit and time period to the model, to allow the effect of geographical unit to change between periods, and then used a likelihood ratio test between the nested models to determine if this interaction was significant [18,19]. …”

Section: Methodsmentioning

confidence: 99%

Temporal Trends in Geographical Variation in Breast Cancer Mortality in China, 1973–2005: An Analysis of Nationwide Surveys on Cause of Death

Xia

Kahn

Wang

et al. 2016

IJERPH

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To describe geographical variation in breast cancer mortality over time, we analysed breast cancer mortality data from three retrospective national surveys on causes of death in recent decades in China. We first calculated the age-standardized mortality rate (ASMR) for each of the 31 provinces in mainland China stratified by survey period (1973–1975, 1990–1992 and 2004–2005). To test whether the geographical variation in breast cancer mortality changed over time, we then estimated the rate ratio (RR) for the aggregated data for seven regions and three economic zones using generalized linear models. Finally, we examined the correlation between mortality rate and several macro-economic measures at the provincial level. We found that the overall ASMR increased from 2.98 per 100,000 in 1973–1975 to 3.08 per 100,000 in 1990–1992, and to 3.85 per 100,000 in 2004–2005. Geographical variation in breast cancer mortality also increased significantly over time at the regional level (p = 0.002) but not at the economic zone (p = 0.089) level, with RR being generally lower for Western China (Northwest and Southwest) and higher in Northeast China over the three survey periods. These temporal and spatial trends in breast cancer mortality were found to be correlated with per capita gross domestic product, number of hospitals and health centres’ beds per 10,000 population and number of practicing doctors per 10,000 population, and average number of live births for women aged 15–64. It may be necessary to target public health policies in China to address the widening geographic variation in breast cancer mortality, and to take steps to ensure that the ease of access and the quality of cancer care across the country is improved for all residents.

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“…Despite an improvement in national prostate cancer survival since the 1990s, those living in non‐metropolitan areas continue to have 18%–32% poorer survival 9 . In Queensland, rectal cancer mortality increases by 6% for every 100 km that patients reside from the closest radiotherapy centre.…”

Section: The Scale Of the Rural Cancer Inequalitymentioning

confidence: 99%