Cost-Effectiveness of Nivolumab Plus Ipilimumab versus Chemotherapy for Previously Untreated Metastatic NSCLC Using Mixture-Cure Survival Analysis Based on CheckMate 227 5-Year Data

This study suggests NIVO+IPI may be a cost-effective first-line treatment when compared with chemo in a US setting given a threshold of US$150,000 per QALY. The cost-effectiveness analysis used a mixture-cure approach, which may offer a more appropriate modelling method in immuno-oncology given LTR, by more accurately capturing the potential treatment benefit.

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Publication Details

Journal
PharmacoEconomics - Open
Published
2024-12-06
DOI
https://doi.org/10.1007/s41669-024-00545-z
Citations
2
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.57

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article

Cost-Effectiveness of Nivolumab Plus Ipilimumab versus Chemotherapy for Previously Untreated Metastatic NSCLC Using Mixture-Cure Survival Analysis Based on CheckMate 227 5-Year Data

Mohammad A. Chaudhary, Yong Yuan, Jason Gordon, Robert D. Young et al.
2 citations
PharmacoEconomics - Open
Cancer Immunotherapy and Biomarkers
0.57
article

Cost-Effectiveness of Nivolumab Plus Ipilimumab versus Chemotherapy for Previously Untreated Metastatic NSCLC Using Mixture-Cure Survival Analysis Based on CheckMate 227 5-Year Data

Mohammad A. Chaudhary, Yong Yuan, Jason Gordon, Robert D. Young, Adam Lee, Alison Griffiths, Philip McEwan
article en
2 citations

Abstract

This study suggests NIVO+IPI may be a cost-effective first-line treatment when compared with chemo in a US setting given a threshold of US$150,000 per QALY. The cost-effectiveness analysis used a mixture-cure approach, which may offer a more appropriate modelling method in immuno-oncology given LTR, by more accurately capturing the potential treatment benefit.

PharmacoEconomics - OpenVol. 9(2)
Bristol-Myers Squibb (United States) (US), Bristol-Myers Squibb (United Kingdom) (GB), Health Economics and Outcomes Research (United Kingdom) (GB)
Bristol-Myers Squibb
Openalex Percentile: Top 26%
Cancer Immunotherapy and Biomarkers
0.57
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