Evidence map›Paper›PMID 33748922›Full record

ArticleBreast cancer research and treatment2021

Breast cancer treatment and survival differences in women in remote and socioeconomically disadvantaged areas, as demonstrated by linked data from New South Wales (NSW), Australia.

Elizabeth Buckley, Elisabeth Elder, Sarah McGill, Zahra Shahabi Kargar, Ming Li, David Roder, David Currow

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 36% 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, 8 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Elizabeth BuckleyCancer Epidemiology and Population Health Research Group, Allied Health & Human Performance, University of South Australia, Adelaide, Australia.
Elisabeth ElderSpecialist Breast Surgery, Westmead Breast Cancer Institute, Westmead, NSW, 2145, Australia.
Sarah McGillCancer Institute NSW, Level 4, 1 Reserve Road, St Leonards, NSW, 2065, Australia.
Zahra Shahabi KargarCancer Institute NSW, Level 4, 1 Reserve Road, St Leonards, NSW, 2065, Australia.
Ming LiCancer Epidemiology and Population Health Research Group, Allied Health & Human Performance, University of South Australia, Adelaide, Australia.
David RoderCancer Epidemiology and Population Health Research Group, Allied Health & Human Performance, University of South Australia, Adelaide, Australia. David.roder@unisa.edu.au.ORCID http://orcid.org/0000-0001-6442-4409
David CurrowCancer Institute NSW, Level 4, 1 Reserve Road, St Leonards, NSW, 2065, Australia.
Cancer Institute of New South Wales · AUUniversity of South Australia · AU

Funding

National Breast Cancer Foundation CRP-17-001
6 · The paper itself

Abstract

introductionReducing variations in cancer treatment and survival is a key aim of the NSW Cancer Plan. Variations in breast cancer treatment and survival in NSW by remoteness and socioeconomic status of residence were investigated to determine benchmarks. Reducing variations in cancer treatment and survival is a key aim of the NSW Cancer Plan. Variations in breast cancer treatment and survival in NSW by remoteness and socioeconomic status of residence were investigated to determine benchmarks.

methodsA retrospective cohort study used linked data for invasive breast cancers, diagnosed in May 2002 to December 2015 from the NSW Cancer Registry, with corresponding inpatient, and medical and pharmaceutical insurance data. Associations between treatment modalities, area socioeconomic status and residential remoteness were explored using logistic regression. Predictors of breast cancer survival were investigated using Kaplan-Meier product-limit estimates and multivariate competing risk regression.

resultsResults indicated a high 5-year disease-specific survival in NSW of 90%. Crude survival was equivalent by residential remoteness and marginally lower in lower socioeconomic areas. Competing risk regression showed equivalent outcomes by area socioeconomic status, except for the least disadvantaged quintile, which showed a higher survival. Higher sub-hazard ratios for death occurred for women with breast cancer aged 70 + years, and more advanced stage. Adjusted analyses indicated more advanced stage in lower socioeconomic areas, with less breast reconstruction and radiotherapy, and marginally less hormone therapy for women from these areas. Conversely, among these women who had breast conserving surgery, there was higher use of chemotherapy. Remoteness of residence was associated in adjusted analyses with less radiotherapy and less immediate breast reconstruction. In these short term data, remoteness of residence was not associated with lower survival.

conclusionThis study provides benchmarks for monitoring future variations in treatment and survival.

Indexed as

Breast NeoplasmsAustraliaFemaleHumansNew South WalesRegistriesRetrospective StudiesSemantic WebVulnerable PopulationsBreast cancer survivalBreast cancer treatmentNew South WalesResidential remotenessSocioeconomic status

Identifiers

PMID33748922
PMCPMC8260537
OpenAlexW3138363228

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.