Evidence map›Paper›PMID 26832359›Full record

ArticleBMC cancer2016

Cancer survival in New South Wales, Australia: socioeconomic disparities remain despite overall improvements.

Julia F Stanbury, Peter D Baade, Yan Yu, Xue Qin Yu

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In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Julia F StanburySydney School of Public Health, The University of Sydney, Sydney, Australia.
Peter D BaadeCancer Research Centre, Cancer Council Queensland, Brisbane, Australia.
Yan YuCancer Research Division, Cancer Council New South Wales, P.O. Box 572, Kings Cross, NSW, 1340, Australia.
Xue Qin YuSydney School of Public Health, The University of Sydney, Sydney, Australia. xueqiny@nswcc.org.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisparities in cancer survival by socioeconomic status have been reported previously in Australia. We investigated whether those disparities have changed over time.

methodsWe used population-based cancer registry data for 377,493 patients diagnosed with one of 10 major cancers in New South Wales (NSW), Australia. Patients were assigned to an area-based measure of socioeconomic status. Five-year relative survival was estimated for each socioeconomic quintile in each 'at risk' period (1996-2000 and 2004-2008) for the 10 individual cancers. Poisson-regression modelling was used to adjust for several prognostic factors. The relative excess risk of death by socioeconomic quintile derived from this modelling was compared over time.

resultsAlthough survival increased over time for most individual cancers, Poisson-regression models indicated that socioeconomic disparities continued to exist in the recent period. Significant socioeconomic disparities were observed for stomach, colorectal, liver, lung, breast and prostate cancer in 1996-2000 and remained so for 2004-2008, while significant disparities emerged for cervical and uterus cancer in 2004-2008 (although the interaction between period and socioeconomic status was not significant). About 13.4% of deaths attributable to a diagnosis of cancer could have been postponed if this socioeconomic disparity was eliminated.

conclusionWhile recent health and social policies in NSW have accompanied an increase in cancer survival overall, they have not been associated with a reduction in socioeconomic inequalities.

Indexed as

Socioeconomic FactorsFemaleHumansMaleNeoplasmsNew South WalesRisk Factors

Identifiers

PMID26832359
PMCPMC4736306

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.