Evidence map›Paper›PMID 33779005›Full record

ArticleEuropean journal of cancer care2021

Female breast cancer treatment and survival in South Australia: Results from linked health data.

Ming Li, David Roder, Katina D'Onise, David Walters, Gelareh Farshid, Elizabeth Buckley, Christos Karapetis, Rohit Joshi, Timothy Price, Amanda Townsend and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of cancer care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

15 authors.

Ming LiCancer Research Institute, University of South Australia, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-4932-0828
David RoderCancer Research Institute, University of South Australia, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0001-6442-4409
Katina D'OnisePrevention and Population Health, SA Health Department for Health and Wellbeing, Adelaide, South Australia, Australia.
David WaltersDepartment of Surgery, Queen Elizabeth Hospital, Woodville South, South Australia, Australia.
Gelareh FarshidFaculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.
Elizabeth BuckleyCancer Research Institute, University of South Australia, Adelaide, South Australia, Australia.
Christos KarapetisMedical Oncology, Flinders University, Bedford Park, South Australia, Australia.
Rohit JoshiFaculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.
Timothy PriceFaculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.
Amanda TownsendClinical Cancer Research, Queen Elizabeth Hospital, Woodville South, South Australia, Australia.
Caroline MillerFaculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.
David CurrowCancer Institute NSW, Eveleigh, New South Wales, Australia.
Kate PowellHealth Policy Centre, South Australian Health & Medical Research Institute (SAHMRI, Adelaide, South Australia, Australia.
Dianne Buranyi-TrevartonSA Clinical Cancer Registry, South Australian Department for Health and Wellbeing, Adelaide, South Australia, Australia.
Ian OlverFaculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.

Funding

Cancer Council SA's Beat Cancer ProjectNational Breast Cancer Foundation CRP-17-001State Government
6 · The paper itself

Abstract

objectiveWe investigated treatment and survival by clinical and sociodemographic characteristics for service evaluation using linked data.

methodData on invasive female breast cancers (n = 13,494) from the South Australian Cancer Registry (2000-2014 diagnoses) were linked to hospital inpatient, radiotherapy and universal health insurance data. Treatments ≤12 months from diagnosis and survival were analysed, using adjusted odds ratios (aORs) from logistic regression, and adjusted sub-hazard ratios (aSHRs) from competing risk regression. RESULTS AND

conclusionFive-year disease-specific survival increased to 91% for 2010-2014. Most women had breast surgery (90%), systemic therapy (72%) and radiotherapy (60%). Less treatment applied for ages 80+ vs <50 years (aOR 0.10, 95% CI 0.05-0.20) and TNM stage IV vs stage I (aOR 0.13, 95% CI 0.08-0.22). Surgical treatment increased during the study period and strongly predicted higher survival. Compared with no surgery, aSHRs were 0.31 (95% CI 0.26-0.36) for women having breast-conserving surgery, 0.49 (95% CI 0.41-0.57) for mastectomy and 0.42 (95% CI 0.33-0.52) when both surgery types were received. Patients aged 80+ years had lower survival and less treatment. More trial evidence is needed to optimise trade-offs between benefits and harms in these older women. Survival differences were not found by residential remoteness and were marginal by socioeconomic status.

Indexed as

Breast NeoplasmsAgedAged, 80 and overAustraliaFemaleHumansMastectomyMastectomy, SegmentalNeoplasm StagingSemantic WebSouth Australiabreast cancerdifferencesSouth Australiasurvivaltreatment

Identifiers

PMID33779005
PMCPMC8518966

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Registered trials

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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.