IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v25y2024i3d10.1007_s10198-023-01602-w.html
   My bibliography  Save this article

Comparative cost-effectiveness of nivolumab first-line and second-line therapy for advanced esophageal cancer in Japan

Author

Listed:
  • Munenobu Kashiwa

    (Kanazawa University)

Abstract

Objective A model-based cost-effectiveness analysis comparing first-line and second-line nivolumab therapy for advanced esophageal cancer was performed to support public healthcare in Japan. Methods A partitioned survival model was developed to predict costs and outcomes. Survival data were obtained from two phase 3 clinical trials (Attraction-3 and Checkmate-648), and direct medical costs were estimated from the perspective of the Japanese National Health Insurance payer. The time horizon for the model was set to 20 years. Health outcomes were calculated and defined as quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICER) were compared to those of control therapy. A sensitivity analysis was performed based on parameter settings and model uncertainties. A willingness-to-pay threshold of 15 million Japanese yen (JPY) was established. Results Compared to that of each control therapy, the ICER for nivolumab per QALY gained was 15,712,265 JPY (143,099 USD) for first-line combination therapy with chemotherapy in the overall population, 10,657,085 JPY (97,059 USD) in the population with ≥ 1% Programmed Death-Ligand 1 (PD-L1) expression, and 41,184,322 JPY (375,085 USD) for second-line nivolumab monotherapy. A probabilistic sensitivity analysis estimated that nivolumab was cost-effective as a first-line therapy for the overall population (61.5%) and for the population with ≥ 1% PD-L1 expression (76.5%), but not as second-line monotherapy (32.3%). Conclusion Nivolumab is recommended as a first-line therapy in combination with chemotherapy owing to its cost-effectiveness, but not as a second-line monotherapy. Patient selection based on PD-L1 expression may help to improve the cost-effectiveness of using nivolumab as a first-line treatment.

Suggested Citation

  • Munenobu Kashiwa, 2024. "Comparative cost-effectiveness of nivolumab first-line and second-line therapy for advanced esophageal cancer in Japan," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(3), pages 459-470, April.
  • Handle: RePEc:spr:eujhec:v:25:y:2024:i:3:d:10.1007_s10198-023-01602-w
    DOI: 10.1007/s10198-023-01602-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10198-023-01602-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10198-023-01602-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Thornton Snider Julia & Seabury Seth & Tebeka Mahlet Gizaw & Wu Yanyu & Batt Katharine, 2018. "The Option Value of Innovative Treatments for Metastatic Melanoma," Forum for Health Economics & Policy, De Gruyter, vol. 21(1), pages 1-10, June.
    2. Briggs, Andrew & Sculpher, Mark & Claxton, Karl, 2006. "Decision Modelling for Health Economic Evaluation," OUP Catalogue, Oxford University Press, number 9780198526629, Decembrie.
    3. Irina A. Tikhonova & Nicola Huxley & Tristan Snowsill & Louise Crathorne & Jo Varley-Campbell & Mark Napier & Martin Hoyle, 2018. "Economic Analysis of First-Line Treatment with Cetuximab or Panitumumab for RAS Wild-Type Metastatic Colorectal Cancer in England," PharmacoEconomics, Springer, vol. 36(7), pages 837-851, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Koen Degeling & Martin Vu & Hendrik Koffijberg & Hui-Li Wong & Miriam Koopman & Peter Gibbs & Maarten IJzerman, 2020. "Health Economic Models for Metastatic Colorectal Cancer: A Methodological Review," PharmacoEconomics, Springer, vol. 38(7), pages 683-713, July.
    2. Chiranjeev Sanyal & Don Husereau, 2020. "Systematic Review of Economic Evaluations of Services Provided by Community Pharmacists," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 375-392, June.
    3. Mark Oppe & Daniela Ortín-Sulbarán & Carlos Vila Silván & Anabel Estévez-Carrillo & Juan M. Ramos-Goñi, 2021. "Cost-effectiveness of adding Sativex® spray to spasticity care in Belgium: using bootstrapping instead of Monte Carlo simulation for probabilistic sensitivity analyses," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 711-721, July.
    4. Kaitlyn Hastings & Clara Marquina & Jedidiah Morton & Dina Abushanab & Danielle Berkovic & Stella Talic & Ella Zomer & Danny Liew & Zanfina Ademi, 2022. "Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia," PharmacoEconomics, Springer, vol. 40(4), pages 449-460, April.
    5. Julie A. Campbell & Glen J. Henson & Valery Fuh Ngwa & Hasnat Ahmad & Bruce V. Taylor & Ingrid Mei & Andrew J. Palmer, 2025. "Estimation of Transition Probabilities from a Large Cohort (> 6000) of Australians Living with Multiple Sclerosis (MS) for Changing Disability Severity Classifications, MS Phenotype, and Disease-Modif," PharmacoEconomics, Springer, vol. 43(2), pages 223-239, February.
    6. Andrea Marcellusi & Raffaella Viti & Loreta A. Kondili & Stefano Rosato & Stefano Vella & Francesco Saverio Mennini, 2019. "Economic Consequences of Investing in Anti-HCV Antiviral Treatment from the Italian NHS Perspective: A Real-World-Based Analysis of PITER Data," PharmacoEconomics, Springer, vol. 37(2), pages 255-266, February.
    7. Risha Gidwani & Louise B. Russell, 2020. "Estimating Transition Probabilities from Published Evidence: A Tutorial for Decision Modelers," PharmacoEconomics, Springer, vol. 38(11), pages 1153-1164, November.
    8. Joseph F. Levy & Marjorie A. Rosenberg, 2019. "A Latent Class Approach to Modeling Trajectories of Health Care Cost in Pediatric Cystic Fibrosis," Medical Decision Making, , vol. 39(5), pages 593-604, July.
    9. Qi Cao & Erik Buskens & Hans L. Hillege & Tiny Jaarsma & Maarten Postma & Douwe Postmus, 2019. "Stratified treatment recommendation or one-size-fits-all? A health economic insight based on graphical exploration," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(3), pages 475-482, April.
    10. Jorge Luis García & James J. Heckman, 2021. "Early childhood education and life‐cycle health," Health Economics, John Wiley & Sons, Ltd., vol. 30(S1), pages 119-141, November.
    11. Tushar Srivastava & Nicholas R. Latimer & Paul Tappenden, 2021. "Estimation of Transition Probabilities for State-Transition Models: A Review of NICE Appraisals," PharmacoEconomics, Springer, vol. 39(8), pages 869-878, August.
    12. Eleanor Heather & Katherine Payne & Mark Harrison & Deborah Symmons, 2014. "Including Adverse Drug Events in Economic Evaluations of Anti-Tumour Necrosis Factor-α Drugs for Adult Rheumatoid Arthritis: A Systematic Review of Economic Decision Analytic Models," PharmacoEconomics, Springer, vol. 32(2), pages 109-134, February.
    13. Manuel Gomes & Robert Aldridge & Peter Wylie & James Bell & Owen Epstein, 2013. "Cost-Effectiveness Analysis of 3-D Computerized Tomography Colonography Versus Optical Colonoscopy for Imaging Symptomatic Gastroenterology Patients," Applied Health Economics and Health Policy, Springer, vol. 11(2), pages 107-117, April.
    14. Isaac Corro Ramos & Maureen P. M. H. Rutten-van Mölken & Maiwenn J. Al, 2013. "The Role of Value-of-Information Analysis in a Health Care Research Priority Setting," Medical Decision Making, , vol. 33(4), pages 472-489, May.
    15. Wei Fang & Zhenru Wang & Michael B. Giles & Chris H. Jackson & Nicky J. Welton & Christophe Andrieu & Howard Thom, 2022. "Multilevel and Quasi Monte Carlo Methods for the Calculation of the Expected Value of Partial Perfect Information," Medical Decision Making, , vol. 42(2), pages 168-181, February.
    16. Nicolas Boespflug & Jérôme Wittwer & Antoine Bénard, 2024. "Factors associated with the author-reported cost-effectiveness threshold in high-income countries: systematic review and multivariable modelling," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(4), pages 631-639, June.
    17. Martin Hoyle, 2008. "Future Drug Prices and Cost-Effectiveness Analyses," PharmacoEconomics, Springer, vol. 26(7), pages 589-602, July.
    18. Bauer, Annette & Knapp, Martin & Alvi, Mohsin & Chaudhry, Nasim & Gregoire, Alain & Malik, Abid & Sikander, Siham & Tayyaba, Kiran & Wagas, Ahmed & Husain, Nusrat, 2024. "Economic costs of perinatal depression and anxiety in a lower-middle income country: Pakistan," LSE Research Online Documents on Economics 122650, London School of Economics and Political Science, LSE Library.
    19. Aris Angelis & Huseyin Naci & Allan Hackshaw, 2020. "Recalibrating Health Technology Assessment Methods for Cell and Gene Therapies," PharmacoEconomics, Springer, vol. 38(12), pages 1297-1308, December.
    20. Yasuhiro Hagiwara & Takeru Shiroiwa, 2022. "Estimating Value-Based Price and Quantifying Uncertainty around It in Health Technology Assessment: Frequentist and Bayesian Approaches," Medical Decision Making, , vol. 42(5), pages 672-683, July.

    More about this item

    Keywords

    Nivolumab; Ipilimumab; Cost-effectiveness; Esophageal cancer; Chemotherapy;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eujhec:v:25:y:2024:i:3:d:10.1007_s10198-023-01602-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.