Evidence map›Paper›PMID 38814640›Full record

ArticleJAMA network open2024

International Cost-Effectiveness Analysis of Durvalumab in Stage III Non-Small Cell Lung Cancer.

Samuel A Kareff, Sunwoo Han, Benjamin Haaland, Chinmay J Jani, Rhea Kohli, Pedro Nazareth Aguiar, Yiqing Huang, Ross A Soo, Ángel Rodríguez-Perez, Jesús García-Foncillas and 2 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
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  5. Article
  6. Adagrasib in the treatment of KRASTranslational cancer research · 2025
    Article
  7. Review
  8. Article
  9. Article
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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

12 authors.

Samuel A KareffUniversity of Miami Sylvester Comprehensive Cancer Center/Jackson Memorial Hospital, Miami, Florida.
Sunwoo HanUniversity of Miami Miller School of Medicine, Miami, Florida.
Benjamin HaalandPentara Corporation, Salt Lake City, Utah.
Chinmay J JaniUniversity of Miami Sylvester Comprehensive Cancer Center/Jackson Memorial Hospital, Miami, Florida.
Rhea KohliCase Western University School of Medicine, Cleveland, Ohio.
Pedro Nazareth AguiarOncoclínicas, São Paulo, São Paulo, Brazil.
Yiqing HuangNational University Cancer Institute, Singapore.
Ross A SooNational University Cancer Institute, Singapore.
Ángel Rodríguez-PerezFundación Jiménez Díaz University Hospital, Madrid, Spain.
Jesús García-FoncillasFundación Jiménez Díaz University Hospital, Madrid, Spain.
Manuel DómineFundación Jiménez Díaz University Hospital, Madrid, Spain.
Gilberto de Lima LopesUniversity of Miami Miller School of Medicine, Miami, Florida.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Standard of care for unresectable locally advanced non-small cell lung cancer (NSCLC) involves definitive chemoradiotherapy followed by maintenance therapy with durvalumab. However, the cost of durvalumab has been cited as a barrier to its use in various health systems. Objective: To evaluate the cost-effectiveness of durvalumab vs placebo as maintenance therapy in patients with unresectable stage III NSCLC from 4 international payer perspectives (US, Brazil, Singapore, and Spain). Design, Setting, and Participants: In this economic evaluation, a Markov model was designed to compare the lifetime cost-effectiveness of maintenance durvalumab for unresectable stage III NSCLC with that of placebo, using 5-year outcomes data from the PACIFIC randomized placebo-controlled trial. Individual patient data were extracted from the PACIFIC, KEYNOTE-189, ADAURA, ALEX, and REVEL randomized clinical trials to develop a decision-analytic model to determine the cost-effectiveness of durvalumab compared with placebo maintenance therapy over a 10-year time horizon. Direct costs, adverse events, and patient characteristics were based on country-specific payer perspectives and demographic characteristics. The study was conducted from June 1, 2022, through December 27, 2023. Main Outcomes and Measures: Life-years, quality-adjusted life years (QALYs), lifetime costs, and incremental cost-effectiveness ratios (ICERs) were estimated at country-specific willingness-to-pay thresholds ([data reported in US$] US: $150 000 per QALY; Brazil: $22 251 per QALY; Singapore: $55 288 per QALY, and Spain: $107 069 per QALY). One-way and probabilistic sensitivity analyses were performed to account for parameters of uncertainty. A cost-threshold analysis was also performed. Results: The US base-case model found that treatment with durvalumab was associated with an increased cost of $114 394 and improved effectiveness of 0.50 QALYs compared with placebo, leading to an ICER of $228 788 per QALY. Incremental cost-effectiveness ratios, according to base-case models, were $141 146 for Brazil, $153 461 for Singapore, and $125 193 for Spain. Durvalumab price adjustments to the PACIFIC data improved cost-effectiveness in Singapore, with an ICER of $45 164. The model was most sensitive to the utility of durvalumab. Conclusions and Relevance: In this cost-effectiveness analysis of durvalumab as maintenance therapy for unresectable stage III NSCLC, the therapy was found to be cost-prohibitive from the perspective of various international payers according to country-specific willingness-to-pay thresholds per QALY. The findings of the study suggest that discounted durvalumab acquisition costs, as possible in Singapore, might improve cost-effectiveness globally.

Indexed as

Antibodies, MonoclonalCarcinoma, Non-Small-Cell LungCost-Benefit AnalysisLung NeoplasmsAgedAntineoplastic Agents, ImmunologicalBrazilCost-Effectiveness AnalysisFemaleHumansMaleMarkov ChainsMiddle AgedNeoplasm StagingQuality-Adjusted Life YearsSingaporeAntibodies, MonoclonalAntineoplastic Agents, Immunologicaldurvalumab

Identifiers

PMID38814640
PMCPMC11140532

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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.