Evidence map›Paper›PMID 39898329›Full record

ArticleClinical and translational radiation oncology2025

Treatment-related toxicity, utility and patient-reported outcomes of head and neck cancer patients treated with proton therapy: A longitudinal study.

Yi Hsuan Chen, Michiel Kroesen, Mischa Hoogeman, Matthijs Versteegh, Carin Uyl-de Groot, Hedwig M Blommestein

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2025. 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
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1 · What the graph read from it

What it found

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2 · The registry

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yi Hsuan ChenErasmus School of Health Policy & Management Erasmus University Rotterdam Rotterdam the Netherlands.
Michiel KroesenDepartment of Medical Physics and Informatics HollandPTC Delft the Netherlands.
Mischa HoogemanDepartment of Medical Physics and Informatics HollandPTC Delft the Netherlands.
Matthijs VersteeghInstitute for Medical Technology Assessment, Erasmus University Rotterdam, Burgemeester Oudlaan 50 3062 PA Rotterdam, the Netherlands.
Carin Uyl-de GrootErasmus School of Health Policy & Management Erasmus University Rotterdam Rotterdam the Netherlands.
Hedwig M BlommesteinErasmus School of Health Policy & Management Erasmus University Rotterdam Rotterdam the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In comparison to current standard photon irradiation, proton therapy (PT) significantly reduces dose to the surrounding normal tissue and therefore is expected to reduce toxicity and improve health related quality of life (HRQoL). Despite the high expectations of PT, there is very limited data on patients' HRQoL after radiotherapy. This study evaluated HRQoL in head and neck cancer (HNC) patients receiving PT and established a robust benchmark for future comparison of PT and the radiotherapy advancements. Method: A questionnaire-based (consisting of EORTC-QLQ-C30, EQ-5D, and EORTC-H&N-35) prospective cohort study was performed in a Dutch proton therapy center. HNC patients who received PT between January 2020 to December 2022 were enrolled in this study. The questionnaires were distributed pre-treatment, and 0, 6, 12, 24 months post-treatment. The generalized estimating equations method was used to analyze the utility change and negative impact of the radiation-related toxicities. Results: 119 HNC patients were included in the study. Symptom and function scores showed the deterioration of all reported functions during the period of treatment. Most of the functions recovered within six months and improved beyond baseline. At the end of PT, the patients' utility decreased significantly (0.12 points) compared to the baseline. The loss in utility was recovered after six months and a further improvement was seen one year after the treatment. This study further provided the estimation of the disutility of each radiation related toxicity. Conclusion: The present study presented the impact of toxicity on patient's utility over time and further confirmed it with the results of patient-reported symptom and function. This study provided estimation of each radiation-related toxicity, including xerostomia, dysphagia, mucositis, and dermatitis, which could contribute to the value assessment through economic evaluations of PT.

Indexed as

Head and neck cancerHealth-related quality of lifeProton therapyQuality of lifeRadiotherapy-related toxicity

Identifiers

PMID39898329
PMCPMC11787426

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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.