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Treatment Effect Waning in Immuno-oncology Health Technology Assessments: A Review of Assumptions and Supporting Evidence with Proposals to Guide Modelling

Author

Listed:
  • Kurt Taylor

    (Delta Hat Limited)

  • Nicholas R. Latimer

    (Delta Hat Limited
    University of Sheffield)

  • Thomas Douglas

    (Delta Hat Limited)

  • Anthony J. Hatswell

    (Delta Hat Limited
    University College London)

  • Sophia Ho

    (Bristol Myers Squibb)

  • Gabriel Okorogheye

    (Bristol Myers Squibb)

  • John Borril

    (Bristol Myers Squibb)

  • Clara Chen

    (Bristol Myers Squibb)

  • Inkyu Kim

    (Bristol Myers Squibb)

  • David Bertwistle

    (Bristol Myers Squibb)

Abstract

Treatment effect waning (TEW) refers to the attenuation of treatment effects over time. Assumptions of a sustained immuno-oncologic treatment effect have been a source of contention in health technology assessment (HTA). We review how TEW has been addressed in HTA and in the wider scientific literature. We analysed company submissions to English language HTA agencies and summarised methods and assumptions used. We subsequently reviewed TEW-related work in the ISPOR Scientific Presentations Database and conducted a targeted literature review (TLR) for evidence of the maintenance of immuno-oncology (IO) treatment effects post-treatment discontinuation. We found no standardised approach adopted by companies in submissions to HTA agencies, with immediate TEW most used in scenario analyses. Independently fitted survival models do however suggest TEW may often be implicitly modelled. Materials in the ISPOR scientific database suggest gradual TEW is more plausible than immediate TEW. The TLR uncovered evidence of durable survival in patients treated with IOs but no evidence that directly addresses the presence or absence of TEW. Our HTA review shows the need for a consistent and appropriate implementation of TEW in oncology appraisals. However, the TLR highlights the absence of direct evidence on TEW in literature, as TEW is defined in terms of relative treatment effects—not absolute survival. We propose a sequence of steps for analysts to use when assessing whether a TEW scenario is necessary and appropriate to present in appraisals of IOs.

Suggested Citation

  • Kurt Taylor & Nicholas R. Latimer & Thomas Douglas & Anthony J. Hatswell & Sophia Ho & Gabriel Okorogheye & John Borril & Clara Chen & Inkyu Kim & David Bertwistle, 2024. "Treatment Effect Waning in Immuno-oncology Health Technology Assessments: A Review of Assumptions and Supporting Evidence with Proposals to Guide Modelling," PharmacoEconomics, Springer, vol. 42(11), pages 1181-1196, November.
  • Handle: RePEc:spr:pharme:v:42:y:2024:i:11:d:10.1007_s40273-024-01423-6
    DOI: 10.1007/s40273-024-01423-6
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