Evidence map›Paper›PMID 39177877›Full record

ReviewPharmacoEconomics2024

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

Kurt Taylor, Nicholas R Latimer, Thomas Douglas, Anthony J Hatswell, Sophia Ho, Gabriel Okorogheye, John Borril, Clara Chen, Inkyu Kim, David Bertwistle

Abstract readReview
In one paragraph

Review in PharmacoEconomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Flexible Survival Extrapolation with Blended Hazards: Accounting for Treatment Effect Waning in Health Technology Assessment.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  2. Article
  3. Review
  4. Article
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

10 authors.

Kurt TaylorDelta Hat Limited, Nottingham, UK. ktaylor@deltahat.com.ORCID 0000-0003-4690-063X
Nicholas R LatimerDelta Hat Limited, Nottingham, UK.
Thomas DouglasDelta Hat Limited, Nottingham, UK.
Anthony J HatswellDelta Hat Limited, Nottingham, UK.
Sophia HoBristol Myers Squibb, Uxbridge, London, UK.
Gabriel OkorogheyeBristol Myers Squibb, Uxbridge, London, UK.
John BorrilBristol Myers Squibb, Uxbridge, London, UK.
Clara ChenBristol Myers Squibb, Lawrenceville, NJ, USA.
Inkyu KimBristol Myers Squibb, Lawrenceville, NJ, USA.
David BertwistleBristol Myers Squibb, Uxbridge, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

NeoplasmsTechnology Assessment, BiomedicalHumansImmunotherapyModels, EconomicTime Factors

Identifiers

PMID39177877
PMCPMC11499331

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.