Evidence map›Paper›PMID 37355527›Full record

ArticleBreast cancer research and treatment2023

Comparing quality of breast cancer care in the Netherlands and Norway by federated propensity score analytics.

Dave T Hamersma, Kay Schreuder, Gijs Geleijnse, Erik Heeg, Matteo Cellamare, Marc B I Lobbes, Marc A M Mureau, Linetta B Koppert, Helle Skjerven, Jan F Nygård and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. 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

12 authors at 6 institutions in 2 countries.

Dave T HamersmaFaculty Science & Technology, Health Sciences, University of Twente, Enschede, The Netherlands.
Kay SchreuderNetherlands Comprehensive Cancer Organization (IKNL), Utrecht/Eindhoven/Enschede, The Netherlands.
Gijs GeleijnseNetherlands Comprehensive Cancer Organization (IKNL), Utrecht/Eindhoven/Enschede, The Netherlands.
Erik HeegNetherlands Comprehensive Cancer Organization (IKNL), Utrecht/Eindhoven/Enschede, The Netherlands.
Matteo CellamareNetherlands Comprehensive Cancer Organization (IKNL), Utrecht/Eindhoven/Enschede, The Netherlands.
Marc B I LobbesDepartment of Medical Imaging, Zuyderland Medical Center, Sittard-Geleen, The Netherlands.
Marc A M MureauDepartment of Plastic & Reconstructive Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Linetta B KoppertDepartment of Surgical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Helle SkjervenSection for Breast and Endocrine Surgery Department, Vestre Viken Hospital Trust, Drammen, Norway.
Jan F NygårdDepartment of Registry Informatics, Cancer Registry of Norway, Oslo, Norway.
Catharina G M Groothuis-OudshoornFaculty Science & Technology, Health Sciences, University of Twente, Enschede, The Netherlands.
Sabine SieslingFaculty Science & Technology, Health Sciences, University of Twente, Enschede, The Netherlands. s.siesling@utwente.nl.ORCID http://orcid.org/0000-0002-0273-824X
Netherlands Comprehensive Cancer Organisation · NLErasmus MC Cancer Institute · NLUniversity of Twente · NLCancer Registry of Norway · NOMaastricht University · NLVestre Viken Hospital Trust · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of the study was to benchmark and compare breast cancer care quality indicators (QIs) between Norway and the Netherlands using federated analytics preventing transfer of patient-level data.

methodsBreast cancer patients (2017-2018) were retrieved from the Netherlands Cancer Registry and the Cancer Registry of Norway. Five European Society of Breast Cancer Specialists (EUSOMA) QIs were assessed: two on magnetic resonance imaging (MRI), two on surgical approaches, and one on postoperative radiotherapy. The QI outcomes were calculated using 'Vantage 6' federated Propensity Score Stratification (PSS). Likelihood of receiving a treatment was expressed in odds ratios (OR).

resultsIn total, 39,163 patients were included (32,786 from the Netherlands and 6377 from Norway). PSS scores were comparable to the crude outcomes of the QIs. The Netherlands scored higher on the QI 'proportions of patients preoperatively examined with breast MRI' [37% vs.17.5%; OR 2.8 (95% CI 2.7-2.9)], the 'proportions of patients receiving primary systemic therapy examined with breast MRI' [83.3% vs. 70.8%; OR 2.3 (95% CI 1.3-3.3)], and 'proportion of patients receiving a single breast operation' [95.2% vs. 91.5%; OR 1.8 (95% CI 1.4-2.2)]. Country scores for 'immediate breast reconstruction' and 'postoperative radiotherapy after breast-conserving surgery' were comparable. The EUSOMA standard was achieved in both countries for 4/5 indicators.

conclusionBoth countries achieved high scores on the QIs. Differences were observed in the use of MRI and proportion of patients receiving single surgery. The federated approach supports future possibilities on benchmark QIs without transfer of privacy-sensitive data.

Indexed as

Breast NeoplasmsFemaleHumansNetherlandsNorwayPropensity ScoreQuality Indicators, Health CareBenchmarkBreast cancer careFederated learningPrivacyQuality indicatorsQuality of care

Identifiers

PMID37355527
PMCPMC10361850
OpenAlexW4381943597

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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.