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Widening NSW cancer survival gaps

Among 651,245 NSW cancer cases, people in more disadvantaged areas had higher cancer death risk, and disparities appeared to widen over time.

Source

Cancer survival disparities worsening by socio-economic disadvantage over the last 3 decades in new South Wales, Australia

Tervonen HE, Aranda S, Roder D, et al. · BMC public health · 2017

doi.org/10.1186/s12889-017-4692-yRead the full paper ↗60 citationscc by

What they did

Population-based survival analyses of NSW cancer registrations related SEIFA socio-economic quintiles and remoteness to cancer death, adjusting for stage and demographics.

What they found

Vs least disadvantaged areas, all other SEIFA quintiles had higher cancer-death risk, highest in most disadvantaged (SHR 1.15); authors conclude disparities appear to have increased and need active policy attention.

The limits

What it doesn't show

Cannot isolate a single causal pathway (screening, treatment access, comorbidity) driving the widening gap.

Key terms

SEIFA
Socio-Economic Indexes for Areas ranking neighbourhood disadvantage.
Sub-hazard ratio (SHR)
Competing-risk relative risk of cancer death.
Cancer registry
Population cancer incidence/survival data source.
Remoteness
Major city vs regional/remote residence category.
Summary stage
Localised vs more advanced disease at diagnosis.
Widening disparity
Socio-economic survival gap increasing across decades.

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Quiz yourself

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Cohort N?

Common questions

How many cases?

651,245 with mean 5.5 years follow-up.

Most disadvantaged SHR?

1.15 (95% CI 1.13–1.17) vs least disadvantaged.

Authors’ call to action?

Active attention; disparities appear to have increased.

Sex mix?

55% male.

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