Evidence map›Paper›PMID 26792195›Full record

ArticleBMC health services research2016

Sociodemographic disparities in survival from colorectal cancer in South Australia: a population-wide data linkage study.

Kerri R Beckmann, Alice Bennett, Graeme P Young, Stephen R Cole, Rohit Joshi, Jacqui Adams, Nimit Singhal, Christos Karapetis, David Wattchow, David Roder

Abstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Lung Cancer and Self-Management Interventions: A Systematic Review of Randomised Controlled Trials.International journal of environmental research and public health · 2022
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  19. Geographical Disparities in Screening and Cancer-Related Health Behaviour.International journal of environmental research and public health · 2020
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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

10 authors.

Kerri R BeckmannCentre for Population Health Research, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia. kerri.beckmann@unisa.edu.au.
Alice BennettFlinders Medical Centre, Flinders Drive, Bedford Park, SA, 5042, Australia.
Graeme P YoungFlinders Centre for Innovation in Cancer, Flinders University, Flinders Drive, Bedford Park, SA, 5042, Australia.
Stephen R ColeFlinders Centre for Innovation in Cancer, Flinders University, Flinders Drive, Bedford Park, SA, 5042, Australia.
Rohit JoshiLyell McEwin Hospital, Elizabeth Vale, SA, 5112, Australia.
Jacqui AdamsCountry Health SA, Adelaide, SA, 5000, Australia.
Nimit SinghalMedical Oncologist, Royal Adelaide Hospital, University of Adelaide, Adelaide, SA, 5001, Australia.
Christos KarapetisFlinders Centre for Innovation in Cancer, Flinders University, Flinders Drive, Bedford Park, SA, 5042, Australia.
David WattchowFlinders University, Flinders Medical Centre, Bedford Park, SA, 5042, Australia.
David RoderCentre for Population Health Research, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInequalities in survival from colorectal cancer (CRC) across socioeconomic groups and by area of residence have been described in various health care settings. Few population-wide datasets which include clinical and treatment information are available in Australia to investigate disparities. This study examines socio-demographic differences in survival for CRC patients in South Australia (SA), using a population-wide database derived via linkage of administrative and surveillance datasets.

methodsThe study population comprised all cases of CRC diagnosed in 2003-2008 among SA residents aged 50-79 yrs in the SA Central Cancer Registry. Measures of socioeconomic status (area level), geographical remoteness, clinical characteristics, comorbid conditions, treatments and outcomes were derived through record linkage of central cancer registry, hospital-based clinical registries, hospital separations, and radiotherapy services data sources. Socio-demographic disparities in CRC survival were examined using competing risk regression analysis.

resultsFour thousand six hundred and forty one eligible cases were followed for an average of 4.7 yrs, during which time 1525 died from CRC and 416 died from other causes. Results of competing risk regression indicated higher risk of CRC death with higher grade (HR high v low =2.25, 95% CI 1.32-3.84), later stage (HR C v A = 7.74, 95% CI 5.75-10.4), severe comorbidity (HR severe v none =1.21, 95% CI 1.02-1.44) and receiving radiotherapy (HR = 1.41, 95% CI 1.18-1.68). Patients from the most socioeconomically advantaged areas had significantly better outcomes than those from the least advantaged areas (HR =0.75, 95% 0.62-0.91). Patients residing in remote locations had significantly worse outcomes than metropolitan residents, though this was only evident for stages A-C (HR = 1.35, 95 % CI 1.01-1.80). These disparities were not explained by differences in stage at diagnosis between socioeconomic groups or area of residence. Nor were they explained by differences in patient factors, other tumour characteristics, comorbidity, or treatment modalities.

conclusionsSocio-economic and regional disparities in survival following CRC are evident in SA, despite having a universal health care system. Of particular concern is the poorer survival for patients from remote areas with potentially curable CRC. Reasons for these disparities require further exploration to identify factors that can be addressed to improve outcomes.

Indexed as

Colorectal NeoplasmsDemographyDisease-Free SurvivalSocial ClassAgedComorbidityDatabases, FactualFemaleHumansInformation Storage and RetrievalMaleMiddle AgedRegistriesRisk AssessmentSocioeconomic FactorsSouth Australia

Identifiers

PMID26792195
PMCPMC4721049

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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.