Evidence map›Paper›PMID 39267126›Full record

ArticleArchives of public health = Archives belges de sante publique2024

Factors related to the return to work of head and neck cancer patients diagnosed between 2004-2011 in Belgium: a multivariate Fine-Gray regression model analysis.

Maxim Van den Broecke, Sarah de Jong, Katrien Vanthomme, Régine Kiasuwa Mbengi, Christophe Vanroelen

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

3 citing papers in PubMed.

  1. Multidomain predictors of long-term work disability in late survivorship after head and neck cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Observational
  3. Return to work, after head and neck cancer: results from the French VICAN study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Maxim Van den BroeckeBelgian Cancer Center, Belgian National Institute of Public Health (Sciensano), Brussels, Belgium. Maxim.Vandenbroecke@Sciensano.be.
Sarah de JongBelgian Cancer Center, Belgian National Institute of Public Health (Sciensano), Brussels, Belgium.
Katrien VanthommeDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.
Régine Kiasuwa MbengiBelgian Cancer Center, Belgian National Institute of Public Health (Sciensano), Brussels, Belgium.
Christophe VanroelenBrussels Institute for Social and Population Studies, Vrije Universiteit Brussel, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to identify the key factors that underlie the return to work (RTW) of head and neck cancer (HNC) patients in Belgium.

methodsWe used data from the EMPCAN database linking data from the Belgian Cancer Registry and the Crossroads Bank for Social Security. We selected HNC patients aged 18-60 at diagnosis who became inactive on the labour market during the follow-up time observed (n = 398). Fine-Gray regression models were used to examine associations between clinical, socio-demographical and work-related factors and RTW over a follow-up of almost 8 years (2004-2011).

resultsThe overall RTW was 21.6%. Stage IV at diagnosis and the use of chemoradiation were associated with a decreased RTW probability but this effect was attenuated by age-adjusted analyses. Multivariate analysis shows that the probability of RTW decreases with age and depends on the household composition. Patients who live alone (SHR 2.2, 95% CI 1.0 - 4.5) and patients who live with another adult and child(ren) (SHR 2.1, 95% CI 1.1 - 4.0) are more likely to RTW than patients who live with another adult without children.

conclusionsThe cumulative incidence of RTW in HNC patients is associated with age and household composition but not with treatment modalities or stage. In future research, this model could be applied to larger cancer patient groups for more accurate estimations. These insights are of importance to better support patients and for informing tailored policy measures which should take into account the sociodemographic profile of HNC patients to tackle societal and health-related inequities and burden of work inactivity.

Indexed as

Employment statusFine-gray analysisHead and neck cancerReturn to work

Identifiers

PMID39267126
PMCPMC11391679

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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.