Evidence map›Paper›PMID 35413924›Full record

ArticleRadiation oncology (London, England)2022

Transparency in quality of radiotherapy for breast cancer in the Netherlands: a national registration of radiotherapy-parameters.

Nansi Maliko, Marcel R Stam, Liesbeth J Boersma, Marie-Jeanne T F D Vrancken Peeters, Michel W J M Wouters, Eline KleinJan, Maurice Mulder, Marion Essers, Coen W Hurkmans, Nina Bijker

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

10 authors.

Nansi MalikoScientific Bureau, Dutch Institute for Clinical Auditing, Leiden, The Netherlands.
Marcel R StamRadiotherapiegroep, Arnhem, The Netherlands.
Liesbeth J BoersmaDepartment of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Marie-Jeanne T F D Vrancken PeetersDepartment of Surgical Oncology, Netherlands Cancer Institute/Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
Michel W J M WoutersScientific Bureau, Dutch Institute for Clinical Auditing, Leiden, The Netherlands.
Eline KleinJanTrusted Third Party, Medical Research Data Management, Deventer, The Netherlands.
Maurice MulderTrusted Third Party, Medical Research Data Management, Deventer, The Netherlands.
Marion EssersInstitute Verbeeten, Tilburg, The Netherlands.
Coen W HurkmansDepartment of Radiation Oncology, Catharina Hospital, Eindhoven, The Netherlands.
Nina BijkerDepartment of Radiation Oncology, AmsterdamUMC, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. n.bijker@amsterdamumc.nl.ORCID http://orcid.org/0000-0003-3172-141X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadiotherapy (RT) is part of the curative treatment of approximately 70% of breast cancer (BC) patients. Wide practice variation has been reported in RT dose, fractionation and its treatment planning for BC. To decrease this practice variation, it is essential to first gain insight into the current variation in RT treatment between institutes. This paper describes the development of the NABON Breast Cancer Audit-Radiotherapy (NBCA-R), a structural nationwide registry of BC RT data of all BC patients treated with at least surgery and RT.

methodsA working group consisting of representatives of the BC Platform of the Dutch Radiotherapy Society selected a set of dose volume parameters deemed to be surrogate outcome parameters, both for tumour control and toxicity. Two pilot studies were carried out in six RT institutes. In the first pilot study, data were manually entered into a secured web-based system. In the second pilot study, an automatic Digital Imaging and Communications in Medicine (DICOM) RT upload module was created and tested.

resultsThe NBCA-R dataset was created by selecting RT parameters describing given dose, target volumes, coverage and homogeneity, and dose to organs at risk (OAR). Entering the data was made mandatory for all Dutch RT departments. In the first pilot study (N = 1093), quite some variation was already detected. Application of partial breast irradiation varied from 0 to 17% between the 6 institutes and boost to the tumour bed from 26.5 to 70.2%. For patients treated to the left breast or chest wall only, the average mean heart dose (MHD) varied from 0.80 to 1.82 Gy; for patients treated to the breast/chest wall only, the average mean lung dose (MLD) varied from 2.06 to 3.3 Gy. In the second pilot study 6 departments implemented the DICOM-RT upload module in daily practice. Anonymised data will be available for researchers via a FAIR (Findable, Accessible, Interoperable, Reusable) framework.

conclusionsWe have developed a set of RT parameters and implemented registration for all Dutch BC patients. With the use of an automated upload module registration burden will be minimized. Based on the data in the NBCA-R analyses of the practice variation will be done, with the ultimate aim to improve quality of BC RT. Trial registration Retrospectively registered.

Indexed as

Breast NeoplasmsFemaleHumansNetherlandsOrgans at RiskPilot ProjectsRadiotherapy DosageRadiotherapy Planning, Computer-AssistedBreast cancerNABON Breast Cancer AuditNational clinical auditQuality of careRadiotherapy

Identifiers

PMID35413924
PMCPMC9003170

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.