Evidence map›Paper›PMID 29706597›Full record

SynthesisBMJ open2018

Variations in outcomes by residential location for women with breast cancer: a systematic review.

Paramita Dasgupta, Peter D Baade, Danny R Youlden, Gail Garvey, Joanne F Aitken, Isabella Wallington, Jennifer Chynoweth, Helen Zorbas, Philippa H Youl

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Talking about health: Community ambassadors as a health promotion strategy to increase breast and bowel cancer screening in regional Australia.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2023
    Article
  6. Article
  7. 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
  8. Article
  9. 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

9 authors.

Paramita DasguptaCancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia.
Peter D BaadeCancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia.ORCID 0000-0001-8576-8868
Danny R YouldenCancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia.
Gail GarveyMenzies School of Health Research, Brisbane, Queensland, Australia.
Joanne F AitkenCancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia.
Isabella WallingtonCancer Australia, Sydney, New South Wales, Australia.
Jennifer ChynowethCancer Australia, Sydney, New South Wales, Australia.
Helen ZorbasCancer Australia, Sydney, New South Wales, Australia.
Philippa H YoulCancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo systematically assess the evidence for variations in outcomes at each step along the breast cancer continuum of care for Australian women by residential location.

designSystematic review.

methodsSystematic searches of peer-reviewed articles in English published from 1 January 1990 to 24 November 2017 using PubMed, EMBASE, CINAHL and Informit databases. Inclusion criteria were: population was adult female patients with breast cancer; Australian setting; outcome measure was survival, patient or tumour characteristics, screening rates or frequencies, clinical management, patterns of initial care or post-treatment follow-up with analysis by residential location or studies involving non-metropolitan women only. Included studies were critically appraised using a modified Newcastle-Ottawa Scale.

resultsSeventy-four quantitative studies met the inclusion criteria. Around 59% were considered high quality, 34% moderate and 7% low. No eligible studies examining treatment choices or post-treatment follow-up were identified. Non-metropolitan women consistently had poorer survival, with most of this differential being attributed to more advanced disease at diagnosis, treatment-related factors and socioeconomic disadvantage. Compared with metropolitan women, non-metropolitan women were more likely to live in disadvantaged areas and had differing clinical management and patterns of care. However, findings regarding geographical variations in tumour characteristics or diagnostic outcomes were inconsistent.

conclusionsA general pattern of poorer survival and variations in clinical management for Australian female patients with breast cancer from non-metropolitan areas was evident. However, the wide variability in data sources, measures, study quality, time periods and geographical classification made direct comparisons across studies challenging. The review highlighted the need to promote standardisation of geographical classifications and increased comparability of data systems. It also identified key gaps in the existing literature including a lack of studies on advanced breast cancer, geographical variations in treatment choices from the perspective of patients and post-treatment follow-up.

Indexed as

Residence CharacteristicsAustraliaBreast NeoplasmsContinuity of Patient CareFemaleHumansOutcome Assessment, Health CareQualitative ResearchSocioeconomic FactorsTreatment Outcomebreast tumoursepidemiologypublic health

Identifiers

PMID29706597
PMCPMC5935167

What OpenQuestion holds

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LicenceCC BY-NC
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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.