Evidence map›Paper›PMID 28903750›Full record

ArticleBMC public health2017

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

Hanna E Tervonen, Sanchia Aranda, David Roder, Hui You, Richard Walton, Stephen Morrell, Deborah Baker, David C Currow

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
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  9. Review
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  19. Quantifying the hospital and emergency department costs for women diagnosed with breast cancer in Queensland.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  20. Article
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

8 authors.

Hanna E TervonenSchool of Health Sciences, Centre for Population Health Research, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia. hanna.tervonen@unisa.edu.au.
Sanchia ArandaCancer Institute NSW, GPO Box 41, Alexandria, Sydney, NSW, 1435, Australia.
David RoderSchool of Health Sciences, Centre for Population Health Research, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.
Hui YouCancer Institute NSW, GPO Box 41, Alexandria, Sydney, NSW, 1435, Australia.
Richard WaltonCancer Institute NSW, GPO Box 41, Alexandria, Sydney, NSW, 1435, Australia.
Stephen MorrellCancer Institute NSW, GPO Box 41, Alexandria, Sydney, NSW, 1435, Australia.
Deborah BakerCancer Institute NSW, GPO Box 41, Alexandria, Sydney, NSW, 1435, Australia.
David C CurrowCancer Institute NSW, GPO Box 41, Alexandria, Sydney, NSW, 1435, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublic concerns are commonly expressed about widening health gaps. This cohort study examines variations and trends in cancer survival by socio-economic disadvantage, geographical remoteness and country of birth in an Australian population over a 30-year period.

methodsData for cases diagnosed in New South Wales (NSW) in 1980-2008 (n = 651,245) were extracted from the population-based NSW Cancer Registry. Competing risk regression models, using the Fine & Gray method, were used for comparative analyses to estimate sub-hazard ratios (SHR) with 95% confidence intervals (CI) among people diagnosed with cancer.

resultsIncreased risk of cancer death was associated with living in the most socio-economically disadvantaged areas compared with the least disadvantaged areas (SHR 1.15, 95% CI 1.13-1.17), and in outer regional/remote areas compared with major cities (SHR 1.05, 95% CI 1.03-1.06). People born outside Australia had a similar or lower risk of cancer death than Australian-born (SHR 0.99, 95% CI 0.98-1.01 and SHR 0.91, 95% CI 0.90-0.92 for people born in other English and non-English speaking countries, respectively). An increasing comparative risk of cancer death was observed over time when comparing the most with the least socio-economically disadvantaged areas (SHR 1.07, 95% CI 1.04-1.10 for 1980-1989; SHR 1.14, 95% CI 1.12-1.17 for 1990-1999; and SHR 1.24, 95% CI 1.21-1.27 for 2000-2008; p < 0.001 for interaction between disadvantage quintile and year of diagnosis).

conclusionsThere is a widening gap in comparative risk of cancer death by level of socio-economic disadvantage that warrants a policy response and further examination of reasons behind these disparities.

Indexed as

Health Status DisparitiesPoverty AreasAgedAged, 80 and overCancer SurvivorsFemaleHumansMaleMiddle AgedNeoplasmsNew South WalesResidence CharacteristicsRiskSocioeconomic FactorsSurvival AnalysisAustraliaCultural diversityNeoplasmsRural populationSocioeconomic factorsSurvival analysis

Identifiers

PMID28903750
PMCPMC5598077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.