Evidence map›Paper›PMID 33933235›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2021

Direct Medical Costs of Advanced Breast Cancer Treatment: A Real-World Study in the Southeast of The Netherlands.

Paul Peter Schneider, Bram L Ramaekers, Xavier Pouwels, Sandra Geurts, Khava Ibragimova, Maaike de Boer, Birgit Vriens, Yes van de Wouw, Marien den Boer, Manon Pepels and 2 more

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 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. Cost-effectiveness of 2-[Scientific reports · 2023
    Article
  4. 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.

Paul Peter SchneiderDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, The Netherlands; School of Health and Related Research, University of Sheffield, Sheffield, UK. Electronic address: p.schneider@sheffield.ac.uk.
Bram L RamaekersDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Xavier PouwelsDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Sandra GeurtsDepartment of Medical Oncology, GROW - School of Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Khava IbragimovaDepartment of Medical Oncology, GROW - School of Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Maaike de BoerDepartment of Medical Oncology, GROW - School of Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Birgit VriensCatharina Hospital, Eindhoven, The Netherlands.
Yes van de WouwVieCuri Medical Center, Venlo, The Netherlands.
Marien den BoerLaurentius Hospital Roermond, The Netherlands.
Manon PepelsElkerliek Hospital, Helmond, The Netherlands.
Vivianne Tjan-HeijnenDepartment of Medical Oncology, GROW - School of Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Manuela JooreDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, The Netherlands.

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesPolicy makers increasingly seek to complement data from clinical trials with information from routine care. This study aims to provide a detailed account of the hospital resource use and associated costs of patients with advanced breast cancer in The Netherlands.

methodsData from 597 patients with advanced breast cancer, diagnosed between 2010 and 2014, were retrieved from the Southeast Netherlands Advanced Breast Cancer Registry. Database lock for this study was in October 2017. We report the observed hospital costs for different resource categories and the lifetime costs per patient, adjusted for censoring using Lin's method. The relationship between patients' characteristics and costs was studied using multivariable regression.

resultsThe average (SE) lifetime hospital costs of patients with advanced breast cancer were €52 709 (405). Costs differed considerably between patient subgroups, ranging from €29 803 for patients with a triple-negative subtype to €92 272 for patients with hormone receptor positive and human epidermal growth factor receptor 2 positive cancer. Apart from the cancer subtype, several other factors, including age and survival time, were independently associated with patient lifetime costs. Overall, a large share of costs was attributed to systemic therapies (56%), predominantly to a few expensive agents, such as trastuzumab (15%), everolimus (10%), and bevacizumab (9%), as well as to inpatient hospital days (20%).

conclusionsThis real-world study shows the high degree of variability in hospital resource use and associated costs in advanced breast cancer care. The presented resource use and costs data provide researchers and policy makers with key figures for economic evaluations and budget impact analyses.

Indexed as

Antineoplastic AgentsAntineoplastic Agents, ImmunologicalBevacizumabEverolimusTrastuzumabBreast NeoplasmsCost-Benefit AnalysisFemaleHealth Care CostsHumansMiddle AgedNetherlandsPatient Acceptance of Health CareRegistriesAntineoplastic AgentsAntineoplastic Agents, ImmunologicalBevacizumabEverolimusTrastuzumabbreast neoplasmshealthcare costshealthcare utilizationreal-world dataThe Netherlands

Identifiers

PMID33933235
PMCPMC8105643

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LicenceCC BY
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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.