IDEAS home Printed from https://ideas.repec.org/a/spr/pharmo/v6y2022i2d10.1007_s41669-021-00301-7.html
   My bibliography  Save this article

Cost Effectiveness of Durvalumab in Unresectable Stage III NSCLC: 4-Year Survival Update and Model Validation from a UK Healthcare Perspective

Author

Listed:
  • Will Dunlop

    (AstraZeneca Global Health Economics & Payer Evidence (Oncology))

  • Marjolijn Keep

    (BresMed Netherlands)

  • Peter Elroy

    (BresMed Netherlands)

  • Ignacio Diaz Perez

    (AstraZeneca)

  • Mario J. N. M. Ouwens

    (AstraZeneca)

  • Tina Sarbajna

    (AstraZeneca Global Health Economics & Payer Evidence (Oncology))

  • Yiduo Zhang

    (AstraZeneca)

  • Alastair Greystoke

    (Newcastle upon Tyne Hospitals NHS Foundation Trust)

Abstract

Background In the phase III PACIFIC study, durvalumab improved survival versus placebo in patients with unresectable stage III non-small-cell lung cancer (NSCLC) whose disease had not progressed after platinum-based concurrent chemoradiotherapy. The appraisal by the UK’s National Institute for Health and Care Excellence (NICE) included a cost-effectiveness analysis based on an early data readout from PACIFIC [March 2018 data cut-off (DCO); median follow-up duration 25.2 months; range 0.2–43.1]. Uncertainties regarding long-term survival outcomes with durvalumab led to some challenges in estimating the cost effectiveness of this therapy. Objective Here, we validate the survival extrapolations used in the original company base-case analysis by benchmarking them against updated survival data from the 4-year follow-up analysis of PACIFIC (i.e. approximately 4 years after the last patient was randomised; March 2020 DCO; median follow-up duration 34.2 months; range 0.2–64.9). Moreover, we update the original analysis with these more mature survival data to examine the consistency of key economic outputs with the original analysis. Methods The original analysis used a semi-Markov (state-transition) approach and was based on patients whose tumours expressed programmed cell death-ligand 1 on ≥ 1% of cells (to reflect the European licence for durvalumab). We benchmarked the survival extrapolations used in the original company base-case analysis against survival data from the 4-year follow-up of PACIFIC and updated the cost-effectiveness analysis with these more mature survival data. Early deaths avoided by the adoption of durvalumab into the UK Cancer Drugs Fund (CDF) in March 2019 were estimated using the 4-year follow-up survival data and an assumed uptake of 125 patients/year (lower estimate) and 367 patients/year (higher estimate). Results The original company base-case analysis had a good visual fit with the observed overall survival (OS) distribution for the durvalumab arm and accurately predicted the 48-month OS rate (predicted 55%; observed 55%); by comparison, the fit was less precise for the placebo arm, for which the analysis underestimated the 48-month OS rate (predicted 32%; observed 38%). In the updated company base-case analysis, durvalumab yielded 2.51 incremental quality-adjusted life-years (QALYs) (− 0.43 vs. the original company base-case analysis), corresponding to an incremental cost-effectiveness ratio of £22,665/QALY (+£3298 vs. the original analysis), which falls within the upper bound of NICE’s willingness-to-pay threshold (£30,000/QALY gained). We estimate that between 31 and 91 early patient deaths may have been avoided by the adoption of durvalumab into the CDF. Conclusions These findings reinforce the patient benefit observed with durvalumab in unresectable stage III NSCLC, support the routine use and cost effectiveness of this therapy, and demonstrate how appropriate modelling can inform the early adoption of therapies by payers to achieve patient benefit.

Suggested Citation

  • Will Dunlop & Marjolijn Keep & Peter Elroy & Ignacio Diaz Perez & Mario J. N. M. Ouwens & Tina Sarbajna & Yiduo Zhang & Alastair Greystoke, 2022. "Cost Effectiveness of Durvalumab in Unresectable Stage III NSCLC: 4-Year Survival Update and Model Validation from a UK Healthcare Perspective," PharmacoEconomics - Open, Springer, vol. 6(2), pages 241-252, March.
  • Handle: RePEc:spr:pharmo:v:6:y:2022:i:2:d:10.1007_s41669-021-00301-7
    DOI: 10.1007/s41669-021-00301-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41669-021-00301-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1007/s41669-021-00301-7?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
    ---><---

    More about this item

    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:pharmo:v:6:y:2022:i:2:d:10.1007_s41669-021-00301-7. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.