Evidence map›Paper›PMID 29643165›Full record

ArticleBMJ open2018

Reoperation after breast-conserving surgery for cancer in Australia: statewide cohort study of linked hospital data.

Marina T van Leeuwen, Michael O Falster, Claire M Vajdic, Philip J Crowe, Sanja Lujic, Elizabeth Klaes, Louisa Jorm, Art Sedrakyan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05257577 (Factors Influencing Breast Cancer Resection Volumes And Their Impact on Treatment Outcome), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 22% 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.

NCT05257577 active not recruitingnot on this mapstarted 2022, after this paper: background citation

Factors Influencing Breast Cancer Resection Volumes And Their Impact on Treatment Outcome: a Prospective Multicenter Study (FIBRATIO)

Typeobservational_patient_registrySponsorTampere University HospitalRan2022 to 2027Enrolled220ConditionsBreast Cancer, Quality of Life, Patient Satisfaction, Resection MarginArmsBreast conserving surgery
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Observational
  6. Surgical and Radiology Trainees' Proficiency in Reading Mammograms: the Importance of Education for Cancer Localisation.Journal of cancer education : the official journal of the American Association for Cancer Education · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Impact of deformation on a supine-positioned image-guided breast surgery approach.International journal of computer assisted radiology and surgery · 2021
    Article
  12. Article
  13. Article
  14. Textual fiducial detection in breast conserving surgery for a near-real time image guidance system.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  15. Article
  16. Article
  17. Tumor deformation correction for an image guidance system in breast conserving surgery.Proceedings of SPIE--the International Society for Optical Engineering
    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

8 authors at 3 institutions in 2 countries.

Marina T van LeeuwenCentre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0002-1570-2852
Michael O FalsterCentre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0001-6444-7272
Claire M VajdicCentre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0002-3612-8298
Philip J CrowePrince of Wales Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
Sanja LujicCentre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.
Elizabeth KlaesBreast Cancer Network Australia, Camberwell, Victoria, Australia.
Louisa JormCentre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.
Art SedrakyanDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York City, New York, USA.
UNSW Sydney · AUBreast Cancer Network Australia · AUCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate between-hospital variation in the probability of reoperation within 90 days of initial breast-conserving surgery (BCS), and the contribution of health system-level and other factors.

designPopulation-based, retrospective cohort study.

settingNew South Wales (NSW), Australia.

participantsLinked administrative hospitalisation data were used to define a cohort of adult women undergoing initial BCS for breast cancer in NSW between 1 July 2002 and 31 December 2013. PRIMARY OUTCOME MEASURES: Multilevel, cross-classified models with patients clustered within hospitals and residential areas were used to examine factors associated with any reoperation, and either re-excision or mastectomy, within 90 days.

resultsOf 34 458 women undergoing BCS, 29.1% underwent reoperation within 90 days, half of which were mastectomies. Overall, the probability of reoperation decreased slightly over time. However, there were divergent patterns by reoperation type; the probability of re-excision increased alongside a concomitant decrease in the probability of mastectomy. Significant between-hospital variation was observed. Non-metropolitan location and surgery at low-volume hospitals were associated with a higher overall probability of reoperation, and of mastectomy specifically, after accounting for patient-level factors, calendar year and area-level socioeconomic status. The magnitude of association with geographical location and surgical volume decreased over time.

conclusionsReoperation rates within 90 days of BCS varied significantly between hospitals. For women undergoing mastectomy after BCS, this represents a dramatic change in clinical course. Multilevel modelling suggests unwarranted clinical variation may be an issue, likely due to disparities in access to multidisciplinary breast cancer care and preoperative diagnostic procedures. However, the observed reduction in disparities over time is encouraging and indicates that guidelines and policy initiatives have the potential to improve regional breast cancer care.

Indexed as

Breast NeoplasmsReoperationAdultAgedAged, 80 and overAustraliaFemaleHumansInformation Storage and RetrievalMastectomyMastectomy, SegmentalMiddle AgedNeoplasm Recurrence, LocalNew South WalesRetrospective Studiesbreast cancerbreast conserving surgerycohorthealth services researchreoperation

Identifiers

PMID29643165
PMCPMC5898348
OpenAlexW2796541324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.