Evidence map›Paper›PMID 31843834›Full record

ArticleBMJ open2019

Emerging cancer incidence, mortality, hospitalisation and associated burden among Australian cancer patients, 1982 - 2014: an incidence-based approach in terms of trends, determinants and inequality.

Rashidul Alam Mahumud, Khorshed Alam, Jeff Dunn, Jeff Gow

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 28% of its field
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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Sonocatalytic Optimization of Titanium-Based Therapeutic Nanomedicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  5. Article
  6. DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. A Review of Models Used for Investigating Barriers to Healthcare Access in Australia.International journal of environmental research and public health · 2020
    Review
4 · The record

Corrections and comments

  • Erratum issued
    2020
5 · Who and what money

Authors and funding

4 authors at 2 institutions in 3 countries.

Rashidul Alam MahumudHealth Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, Australia Rashed.Mahumud@usq.edu.au.ORCID 0000-0001-9788-1868
Khorshed AlamHealth Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, Australia.
Jeff DunnHealth Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, Australia.
Jeff GowHealth Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, Australia.
University of Southern Queensland · AUProstate Cancer Foundation of Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCancer is a leading killer worldwide, including Australia. Cancer diagnosis leads to a substantial burden on the individual, their family and society. The main aim of this study is to understand the trends, determinants and inequalities associated with cancer incidence, hospitalisation, mortality and its burden over the period 1982 to 2014 in Australia. SETTINGS: The study was conducted in Australia. STUDY

designAn incidence-based study design was used.

methodsData came from the publicly accessible Australian Institute of Health and Welfare database. This contained 2 784 148 registered cancer cases over the study period for all types of cancer. Erreygers' concentration index was used to examine the magnitude of socioeconomic inequality with regards to cancer outcomes. Furthermore, a generalised linear model was constructed to identify the influential factors on the overall burden of cancer.

resultsThe results showed that cancer incidence (annual average percentage change, AAPC=1.33%), hospitalisation (AAPC=1.27%), cancer-related mortality (AAPC=0.76%) and burden of cancer (AAPC=0.84%) all increased significantly over the period. The same-day (AAPC=1.35%) and overnight (AAPC=1.19%) hospitalisation rates also showed an increasing trend. Further, the ratio (least-most advantaged economic resources ratio, LMR of mortality (M) and LMR of incidence (I)) was especially high for cervix (M/I=1.802), prostate (M/I=1.514), melanoma (M/I=1.325), non-Hodgkin's lymphoma (M/I=1.325) and breast (M/I=1.318), suggesting that survival inequality was most pronounced for these cancers. Socioeconomically disadvantaged people were more likely to bear an increasing cancer burden in terms of incidence, mortality and death.

conclusionsSignificant differences in the burden of cancer persist across socioeconomic strata in Australia. Policymakers should therefore introduce appropriate cancer policies to provide universal cancer care, which could reduce this burden by ensuring curable and preventive cancer care services are made available to all people.

Indexed as

Socioeconomic FactorsAdultAustraliaCost of IllnessFemaleHospitalizationHumansIncidenceMaleMiddle AgedMultivariate AnalysisNeoplasmsRegistriesSpatial Regressioncancer burdencancer incidencemortalityremotenesssocioeconomic inequalities

Identifiers

PMID31843834
PMCPMC6924826
OpenAlexW2996518958

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.