Evidence map›Paper›PMID 40672370›Full record

ArticleFrontiers in pharmacology2025

Value attribution for oncology combination regimens: going beyond frameworks to balance innovation, access, and affordability.

Jennifer G Gaultney, Daniel Ollendorf, Medha Sasane, Céline Fernandez, Krupa Paranjpe, Ting-Yen Chen, Hera Sandhu, Steven Simoens

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jennifer G GaultneyIQVIA, London, United Kingdom.
Daniel OllendorfCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center, Boston, MA, United States.
Medha SasaneSanofi, Bridgewater, NJ, United States.
Céline FernandezSanofi, Paris, France.
Krupa ParanjpeSanofi, Bridgewater, NJ, United States.
Ting-Yen ChenIQVIA, London, United Kingdom.
Hera SandhuIQVIA, London, United Kingdom.
Steven SimoensKU Leuven Department of Pharmaceutical and Pharmacological Sciences, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combination therapies are a mainstay in cancer treatment, but reimbursement access can be limited, owing to complexities around value assessment and pricing, and budget impact. Traditional frameworks for value assessment lack specific methodologies for evaluating combinations. A key challenge is value attribution between components. Here we provide the authors' perspectives on this challenge, along with a summary of current market approaches and two proposed value attribution frameworks (VAFs), including their limitations and what would be needed to apply them in practice. Access to combination therapies varies by country, with each nation adopting different strategies to address challenges. Many have focused their efforts on competition laws, pricing, and overall affordability rather than value attribution. A value attribution solution could provide a basis for pricing and reimbursement negotiations for combinations. The two proposed VAFs offer a possible quantitative solution to assess the value of combination therapy components. However, existing VAFs are still limited by their data requirements and high levels of uncertainty, and are not applicable in certain market archetypes. Further work is needed before such VAFs can be widely applied. In addition, value attribution is only one component of the issue; locally tailored frameworks, agreement on criteria, multi-stakeholder collaboration, and a broader negotiation strategy encompassing other solutions are also necessary. We summarize key challenges and market approaches, as well as factors needed to make the proposed approaches acceptable.

Indexed as

combination therapy accesshealth technology assessmentoncology combinationsreimbursementvalue assessmentvalue attribution framework

Identifiers

PMID40672370
PMCPMC12264338

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.