Evidence map›Paper›PMID 41850039›Full record

ArticleESMO open2026

Cost-effectiveness of switching to S-1 after fluoropyrimidine-induced hand-foot syndrome or cardiovascular toxicity in the treatment of metastatic colorectal cancer.

R van Eekelen, C J A Punt, J J M Kwakman, V M H Coupé

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Article in ESMO open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

R van EekelenDecision Modelling Center, Epidemiology & Data Science, location VUmc, Amsterdam University Medical Centres, Amsterdam, the Netherlands. Electronic address: r.vaneekelen@amsterdamumc.nl.
C J A PuntDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.
J J M KwakmanDepartment of Medical Oncology, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
V M H CoupéDecision Modelling Center, Epidemiology & Data Science, location VUmc, Amsterdam University Medical Centres, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe fluoropyrimidines 5-fluorouracil (5FU) and capecitabine are the backbone of systemic therapy for metastatic colorectal cancer (mCRC). Side effects include hand-foot syndrome (HFS) and cardiovascular toxicity (CVT), which may necessitate dose reductions or discontinuation of treatment. S-1 (Teysuno®) is an oral fluoropyrimidine that is licensed for use after fluoropyrimidine-induced HFS or CVT as it showed a lower incidence of those toxicities. It can be used as monotherapy or in combination with oxaliplatin or irinotecan. In this study, we assessed the cost-effectiveness of switching from 5FU or capecitabine-based treatment to S-1-based treatment after a patient with mCRC experiences HFS or CVT. PATIENTS AND

methodsWe developed a cohort-level decision analytic model to compare the costs and quality-adjusted life years (QALYs) when hypothetical patients would follow several different treatment strategies. We considered three different scenarios in which patients experienced toxicity on their initial first-line treatment of either CAPOX (1), FOLFOX (2) or capecitabine monotherapy (3), respectively. The step of first-line to second-line is denoted with an arrow (→). We used medication costs and administration costs, a lifelong time axis and compared strategies using incremental cost-effectiveness ratios (ICERs) and net benefit.

resultsCosts for treatment administration often exceeded costs for treatment medication. For scenario 1, the ICER of the strategy of switching to SOX → Irinotecan (which was identical to SOX → IRIS) was €60 303 compared with the next best strategy of discontinuation of CAPOX → Irinotecan. This is below the threshold of €80 000/QALY used by the Dutch government for high-impact health conditions. Results of scenario 2 were similar to scenario 1. For scenario 3, the ICER of S-1 → SOX was €92 551 compared with reduced dosage capecitabine monotherapy → CAPOX.

conclusionsS-1 based treatment strategies can be cost-effective when a treatment switch is required due to HFS or CVT during fluoropyrimidine-based treatment.

Indexed as

Cardiovascular DiseasesColorectal NeoplasmsHand-Foot SyndromeOxonic AcidTegafurAntimetabolites, AntineoplasticAntineoplastic Combined Chemotherapy ProtocolsCapecitabineCost-Benefit AnalysisCost-Effectiveness AnalysisDrug CombinationsFluorouracilHumansQuality-Adjusted Life YearsAntimetabolites, AntineoplasticCapecitabineDrug CombinationsFluorouracilOxonic AcidS 1 (combination)Tegafurcapecitabinefluoropyrimidinesi.v. 5-FUmetastatic colorectal canceroxaliplatinS-1Teysuno

Identifiers

PMID41850039
PMCPMC13015576

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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.