Evidence map›Paper›PMID 34940058›Full record

ArticleCurrent oncology (Toronto, Ont.)2021

Diagnostics in Patients Suspect for Breast Cancer in The Netherlands.

Madelon M Voets, Catharina G M Groothuis-Oudshoorn, Liset H J Veneklaas, Srirang Manohar, Mariël Brinkhuis, Jeroen Veltman, Linda de Munck, Lioe-Fee de Geus-Oei, Mireille J M Broeders, Sabine Siesling

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2021. 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
0.1field-weighted citation impact, top 51% 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, 3 citations in OpenAlex.

  1. Article
  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

10 authors at 5 institutions in 1 country.

Madelon M VoetsDepartment of Health Technology and Services Research, Technical Medical Centre, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.ORCID 0000-0003-4280-3306
Catharina G M Groothuis-OudshoornDepartment of Health Technology and Services Research, Technical Medical Centre, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Liset H J VeneklaasDepartment of Health Technology and Services Research, Technical Medical Centre, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Srirang ManoharMulti-Modality Imaging, Technical Medical Centre, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Mariël BrinkhuisLaboratory for Pathology East Netherlands, LabPON, Boerhaavelaan 59, P.O. Box 516, 7550 AM Hengelo, The Netherlands.ORCID 0000-0002-3456-0503
Jeroen VeltmanDepartment of Radiology, Ziekenhuisgroep Twente, Zilvermeeuw 1, P.O. Box 7600, 7609 PP Almelo, The Netherlands.
Linda de MunckDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation, P.O. Box 19079, 3501 DB Utrecht, The Netherlands.
Lioe-Fee de Geus-OeiDepartment of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands.ORCID 0000-0003-1817-2743
Mireille J M BroedersDutch Expert Centre for Screening, P.O. Box 6873, 6503 GJ Nijmegen, The Netherlands.
Sabine SieslingDepartment of Health Technology and Services Research, Technical Medical Centre, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
University of Twente · NLNetherlands Comprehensive Cancer Organisation · NLLeiden University Medical Center · NLRadboud University Nijmegen · NLZiekenhuis Groep Twente · NL

Funding

Horizon 2020 Research and Innovation Action 732411
6 · The paper itself

Abstract

The goal of this study was to describe the variation in hospital-based diagnostic care activities for patients with symptomatology suspect for breast cancer in The Netherlands. Two cohorts were included: the 'benign' cohort (30,334 women suspected of, but without breast cancer) and the 'malignant' cohort (2236 breast cancer patients). Hospital-based financial data was combined with tumor data (malignant cohort) from The Netherlands Cancer Registry. Patterns within diagnostic pathways were analyzed. Factors influencing the number of visits and number of diagnostic care activities until diagnosis were identified in the malignant cohort with multivariable Cox and Poisson regression models. Compared to patients with benign diagnosis, patients with malignant disease received their diagnosis less frequently in one day, after an equal average number of hospital visits and higher average number of diagnostic activities. Factors increasing the number of diagnostic care activities were the following: lower age and higher cM-and cN-stages. Factors increasing the number of days until (malignant) diagnosis were as follows: higher BIRADS-score, screen-detected and higher cN-and cT-stages. Hospital of diagnosis influenced both number of activities and days to diagnosis. The diagnostic care pathway of patients with malignant disease required more time and diagnostic activities than benign disease and depends on hospital, tumor and patient characteristics.

Indexed as

Breast NeoplasmsCohort StudiesFemaleHumansNetherlandsRegistriesbenign breast diagnosisbreast cancerdiagnostic activitiesdiagnostic care pathway

Identifiers

PMID34940058
PMCPMC8700505
OpenAlexW3215410106

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.