Evidence map›Paper›PMID 38268318›Full record

ArticleCancer medicine2024

The incremental healthcare cost associated with cancer in Belgium: A registry-based data analysis.

Vanessa Gorasso, Stefanie Vandevijvere, Johan Van der Heyden, Ingrid Pelgrims, Henk Hilderink, Wilma Nusselder, Claire Demoury, Masja Schmidt, Stijn Vansteelandt, Delphine De Smedt and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.8field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

11 authors at 5 institutions in 3 countries.

Vanessa GorassoDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.ORCID 0000-0001-6884-9316
Stefanie VandevijvereDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Johan Van der HeydenDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Ingrid PelgrimsDepartment of Risk and Health Impact Assessment, Sciensano, Brussels, Belgium.
Henk HilderinkCentre for Public Health Forecasting, National Institute for Public Health and the Environment (RIVM), Utrecht, The Netherlands.
Wilma NusselderDepartment of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands.
Claire DemouryDepartment of Risk and Health Impact Assessment, Sciensano, Brussels, Belgium.
Masja SchmidtDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Stijn VansteelandtDepartment of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
Delphine De SmedtDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.
Brecht DevleesschauwerDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Ghent University · BESciensano (Belgium) · BEErasmus MC · NLHealth Forecasting · USImpact Assessment · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSimilar to many countries, Belgium experienced a rapid increase in cancer diagnoses in the last years. Considering that a large part of cancer types could be prevented, our study aimed to estimate the annual healthcare burden of cancer per site, and to compare cost with burden of disease estimates to have a better understanding of the impact of different cancer sites in Belgium.

methodsWe used nationally available data sources to estimate the healthcare expenditure. We opted for a prevalence-based approach which measures the disease attributable costs that occur concurrently for 10-year prevalent cancer cases in 2018. Average attributable costs of cancer were computed via matching of cases (patients with cancer by site) and controls (patients without cancer). Years of life lost due to disability (YLD) were used to summarize the health impact of the selected cancers.

resultsThe highest attributable cost in 2018 among the selected cancers was on average €15,867 per patient for bronchus and lung cancer, followed by liver cancer, pancreatic cancer, and mesothelioma. For the total cost, lung cancer was the most costly cancer site with almost €700 million spent in 2018. Lung cancer was followed by breast and colorectal cancer that costed more than €300 million each in 2018.

conclusionsIn our study, the direct attributable cost of the most prevalent cancer sites in Belgium was estimated to provide useful guidance for cost containment policies. Many of these cancers could be prevented by tackling risk factors such as smoking, obesity, and environmental stressors.

Indexed as

Health Care CostsLung NeoplasmsBelgiumCost of IllnessHumansRegistriesburden of diseasecancercost-of-illness

Identifiers

PMID38268318
PMCPMC10905540
OpenAlexW4391226583

What OpenQuestion holds

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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.