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Effect of Treatment with the PD-1/PD-L1 Inhibitors on Key Health Outcomes of Cancer Patients

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dc.contributor.authorJoung, Kyung-In-
dc.contributor.authorSong, Jong Hwa-
dc.contributor.authorSuh, Kangho-
dc.contributor.authorLee, Seung-Mi-
dc.contributor.authorJun, Ji Hyun-
dc.contributor.authorPark, Taehwan-
dc.contributor.authorSuh, Dong Churl-
dc.date.accessioned2022-01-20T02:40:43Z-
dc.date.available2022-01-20T02:40:43Z-
dc.date.issued2021-01-
dc.identifier.issn1173-8804-
dc.identifier.issn1179-190X-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/53946-
dc.description.abstractBackground Recent studies have shown that treatment with the programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) inhibitor class could significantly improve survival outcomes in several oncology indications. However, there is some clinical uncertainty. Objective This study aimed to obtain high-level estimates of the impact of treatment with PD-1/PD-L1 inhibitor class to oncology treatment on key health outcomes in real-world situations and to inform public health policy decisions about cancer care after reducing uncertainties around new immuno-oncology therapy options in South Korea. Methods A model was developed to estimate the impact of PD-1/PD-L1 inhibitors on outcomes in situations wherein both anti-PD-1/PD-L1s and standard of care (SOC) were available versus SOC only. A partitioned survival model was utilized to estimate the impact of introducing anti-PD-1/PD-L1s on outcomes, including life-years gained, quality-adjusted life-years gained, progression-free survival-years obtained, and grade 3 or higher adverse events avoided for six indications over 5 years. An exponential distribution was fitted to the survival function of the SOC based on visual inspection. Outcomes associated with anti-PD-1/PD-L1s were estimated using a piecewise modeling approach with Kaplan-Meier analysis followed by best-fitting survival analysis. The incident number of patients and market share of anti-PD-1/PD-L1s during 2020-2024 were projected using published literature and Korean market survey data. Sensitivity analyses were performed to test the uncertainty of input parameters. Results During the next 5-year period (2020-2024), introducing the anti-PD-1/PD-L1 class led to a gain of 22,001 life-years (+ 31%), 19,073 quality-adjusted life-years (+ 38%), and 22,893 progression-free survival-years (+ 82%); it also avoided 3610 adverse events (- 11%) compared with SOC alone. Most adverse events associated with anti-PD-1/PD-L1s were attributed to combination therapy with cytotoxic chemotherapy (91%). In a scenario wherein the time to reimbursement of the anti-PD-1/PD-L1s was accelerated by 1 year, the life-years gained increased by 14% compared with the base-case scenario. Conclusions Anti-PD-1/PD-L1 therapy is expected to provide marked survival benefits for patients with cancer. This study demonstrated the potentially beneficial health impacts of utilizing the anti-PD-1/PD-L1 class at the population level. The findings could inform health policy decision makers about cancer care and ultimately enhance population health through rapid access to innovative cancer drugs.-
dc.format.extent13-
dc.language영어-
dc.language.isoENG-
dc.publisherADIS INT LTD-
dc.titleEffect of Treatment with the PD-1/PD-L1 Inhibitors on Key Health Outcomes of Cancer Patients-
dc.typeArticle-
dc.identifier.doi10.1007/s40259-020-00459-2-
dc.identifier.bibliographicCitationBIODRUGS, v.35, no.1, pp 61 - 73-
dc.description.isOpenAccessN-
dc.identifier.wosid000599802900001-
dc.identifier.scopusid2-s2.0-85097668845-
dc.citation.endPage73-
dc.citation.number1-
dc.citation.startPage61-
dc.citation.titleBIODRUGS-
dc.citation.volume35-
dc.type.docTypeArticle-
dc.publisher.location뉴질랜드-
dc.subject.keywordPlusCELL LUNG-CANCER-
dc.subject.keywordPlusCOST-EFFECTIVENESS ANALYSIS-
dc.subject.keywordPlusECONOMIC EVALUATIONS-
dc.subject.keywordPlusOPEN-LABEL-
dc.subject.keywordPlusCHEMOTHERAPY-
dc.subject.keywordPlusSURVIVAL-
dc.subject.keywordPlusPEMBROLIZUMAB-
dc.subject.keywordPlusNIVOLUMAB-
dc.subject.keywordPlusMELANOMA-
dc.subject.keywordPlusATEZOLIZUMAB-
dc.relation.journalResearchAreaOncology-
dc.relation.journalResearchAreaImmunology-
dc.relation.journalResearchAreaPharmacology & Pharmacy-
dc.relation.journalWebOfScienceCategoryOncology-
dc.relation.journalWebOfScienceCategoryImmunology-
dc.relation.journalWebOfScienceCategoryPharmacology & Pharmacy-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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