Evidence map›Paper›PMID 26630881›Full record

ArticleBMC public health2015

Geographic variation in the intended choice of adjuvant treatments for women diagnosed with screen-detected breast cancer in Queensland.

Jeff Ching-Fu Hsieh, Susanna M Cramb, James M McGree, Nathan A M Dunn, Peter D Baade, Kerrie L Mengersen

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. A Review of Models Used for Investigating Barriers to Healthcare Access in Australia.International journal of environmental research and public health · 2020
    Review
  6. Observational
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

6 authors at 3 institutions in 1 country.

Jeff Ching-Fu HsiehMathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia. j2.hsieh@hdr.qut.edu.au.
Susanna M CrambCancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia. SusannaCramb@cancerqld.org.au.
James M McGreeMathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia. james.mcgree@qut.edu.au.
Nathan A M DunnPreventive Health Unit, Department of Health, Brisbane, Queensland, Australia. Nathan.Dunn@health.qld.gov.au.
Peter D BaadeCancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia. PeterBaade@cancerqld.org.au.
Kerrie L MengersenMathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia. k.mengersen@qut.edu.au.
Queensland University of Technology · AUCancer Council Queensland · AUGovernment of Western Australia Department of Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough early diagnosis and improved treatment can reduce breast cancer mortality, there still appears to be a geographic differential in patient outcomes. This study aims to determine and quantify spatial inequalities in intended adjuvant (radio-, chemo- and hormonal) therapy usage among women with screen-detected breast cancer in Queensland, Australia.

methodsLinked population-based datasets from BreastScreen Queensland and the Queensland Cancer Registry during 1997-2008 for women aged 40-89 years were used. We adopted a Bayesian shared spatial component model to evaluate the relative intended use of each adjuvant therapy across 478 areas as well as common spatial patterns between treatments.

resultsWomen living closer to a cancer treatment facility were more likely to intend to use adjuvant therapy. This was particularly marked for radiotherapy when travel time to the closest radiation facility was 4 + h (OR =0.41, 95 % CrI: [0.23, 0.74]) compared to <1 h. The shared spatial effect increased towards the centres with concentrations of radiotherapy facilities, in north-east (Townsville) and south-east (Brisbane) regions of Queensland. Moreover, the presence of residual shared spatial effects indicates that there are other unmeasured geographical barriers influencing women's treatment choices.

conclusionsThis highlights the need to identify the additional barriers that impact on treatment intentions among women diagnosed with screen-detected breast cancer, particularly for those women living further away from cancer treatment centers.

Indexed as

Choice BehaviorHealth Services AccessibilityIntentionRadiotherapy, AdjuvantAdjuvants, ImmunologicAdultAgedAged, 80 and overAustraliaBayes TheoremBreast NeoplasmsEarly Detection of CancerFemaleHormonesHumansMiddle AgedAdjuvants, ImmunologicHormones

Identifiers

PMID26630881
PMCPMC4668608
OpenAlexW2185002853

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.