Evidence map›Paper›PMID 39641881›Full record

ArticlePharmacoEconomics - open2025

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.

Alison D Griffiths, Robert O Young, Yong Yuan, Mohammad A Chaudhary, Adam Lee, Jason Gordon, Philip McEwan

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alison D GriffithsHealth Economics and Outcomes Research Ltd, Cardiff, UK.
Robert O YoungHealth Economics and Outcomes Research Ltd, Cardiff, UK. rob.young@heor.co.uk.ORCID http://orcid.org/0000-0001-7432-9165
Yong YuanBristol-Myers Squibb, Princeton, NJ, USA.
Mohammad A ChaudharyBristol-Myers Squibb, Princeton, NJ, USA.
Adam LeeBristol-Myers Squibb, Uxbridge, UK.
Jason GordonHealth Economics and Outcomes Research Ltd, Cardiff, UK.
Philip McEwanHealth Economics and Outcomes Research Ltd, Cardiff, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study assessed the cost-effectiveness of nivolumab plus ipilimumab (NIVO+IPI) versus platinum-doublet chemotherapy (chemo) in untreated metastatic non-small cell lung cancer (NSCLC) using mixture-cure modelling, an approach used to analyse immuno-oncology treatments due to their underlying methods depicting delayed but durable response in some patients.

methodsA mixture-cure economic model was developed from a US third-party payer perspective to assess the lifetime costs and benefits of NIVO+IPI versus chemo using data from Part 1 of the phase III CheckMate 227 trial with 5 years of follow-up. The model consisted of four health states: progression-free without long-term response (non-LTR), progression-free with long-term response (LTR), post-progression, and death. The primary outcomes were the incremental cost per life-year (LY) and quality-adjusted life-year (QALY) gained for NIVO+IPI versus chemo over a patient's lifetime time horizon. Model uncertainty was evaluated using one-way sensitivity analyses and probabilistic sensitivity analysis.

resultsNIVO+IPI treatment showed a significant improvement in overall survival versus chemo; mean gain 1.69 LYs and 1.42 QALYs. The majority of the 4.04 LYs accrued by NIVO+IPI were in the LTR state (2.27 years). The incremental cost of NIVO+IPI versus chemo was US$125,321, resulting in an incremental cost/QALY gained of US$88,219.

conclusionsThis 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.

Identifiers

PMID39641881
PMCPMC11865396

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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.