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Improving health outcomes through treatment sequencing optimization in multiple myeloma: a simulation model in transplant‐ineligible patients

dc.contributor.authorGeraldes, C.
dc.contributor.authorNeves, M.
dc.contributor.authorBergantim, R.
dc.contributor.authorSilva, Catarina
dc.contributor.authorLeal da Costa, F.
dc.date.accessioned2025-04-09T14:36:21Z
dc.date.available2025-04-09T14:36:21Z
dc.date.issued2024
dc.description© 2024 The Author(s). Cancer Reports published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.pt_PT
dc.description.abstractObjectives: Patients with multiple myeloma often require multiple treatment lines. The order in which treatments are sequenced has impact on clinical outcomes. This study aimed to estimate progression-free survival (PFS) and overall survival (OS) with common treatment sequences used in Portugal and the incremental benefit of an optimal sequence in transplant-ineligible patients with multiple myeloma. Methods: A state-transition sequential model with a five-health state conceptual structure was developed to simulate and compare survival outcomes between treatment sequences up to four lines of treatments. Data sources included randomized clinical trials and indirect treatment comparisons. A panel of Portuguese hematologists listed four most common treatment sequences and optimal sequence of choice in transplant-ineligible patients. Results: Our simulation estimated an OS between 6.1 and 7.8 years using the most common sequences, with VMP + DRd + Pd + Kd as the most effective (7.8 years). Optimal sequence of choice (DRd + PVd + Kd + Vd) achieved OS of 9.8 years and may extend OS in 2.0-3.7 years vs. most common sequences (26%-61% increase). This benefit was mostly explained by extended PFS in the first line of treatment. Conclusion: Model results demonstrate that choosing the most effective treatment upfront is crucial in delaying disease progression thus yielding better survival outcomes in transplant-ineligible patients. There was a clear survival benefit in using daratumumab-based regimens in first line. This modelling exercise highlights the need to raise awareness around the impact of sequencing strategies to improve patient's outcomes.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCancer Rep (Hoboken). 2024 Oct;7(10):e70027pt_PT
dc.identifier.doi10.1002/cnr2.70027pt_PT
dc.identifier.eissn2573-8348
dc.identifier.urihttp://hdl.handle.net/10400.5/100110
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/journal/25738348pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMultiple myelomapt_PT
dc.subjectOptimizationpt_PT
dc.subjectOutcomespt_PT
dc.subjectOverall survivalpt_PT
dc.subjectSimulationpt_PT
dc.subjectTreatment sequencingpt_PT
dc.titleImproving health outcomes through treatment sequencing optimization in multiple myeloma: a simulation model in transplant‐ineligible patientspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue10pt_PT
oaire.citation.titleCancer Reportspt_PT
oaire.citation.volume7pt_PT
person.familyNameSilva
person.givenNameCatarina
person.identifier.orcid0009-0005-5079-1677
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0a4027de-c89a-4657-bb6e-dad64570c5f4
relation.isAuthorOfPublication.latestForDiscovery0a4027de-c89a-4657-bb6e-dad64570c5f4

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