Evidence map›Paper›PMID 42563624›Full record

ArticleInternational journal of technology assessment in health care2026

Surrogate endpoints in cost-effectiveness analysis for use in health technology assessment - a qualitative analysis.

Laura Flight, Fatima Salih, Shane D Collins, Phyo Aung, Michael Coory, Daniel A Ollendorf, Marina Richardson, Zoe Garrett

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Laura FlightNational Institute for Health and Care Excellence, UK.ORCID https://orcid.org/0000-0002-9569-8290
Fatima SalihNational Institute for Health and Care Excellence, UK.ORCID https://orcid.org/0009-0002-0128-4212
Shane D CollinsNational Institute for Health and Care Excellence, UK.
Phyo AungDepartment of Epidemiology and Preventive Medicine, Monash University, Australia.
Michael CooryMater Research Institute, Faculty of Medicine, University of Queensland, Australia.
Daniel A OllendorfInstitute for Clinical and Economic Review, USA.
Marina RichardsonInstitute for Clinical and Economic Review, USA.ORCID https://orcid.org/0000-0002-8278-7454
Zoe GarrettNational Institute for Health and Care Excellence, UK.ORCID https://orcid.org/0000-0003-1760-5690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe use of surrogate endpoints poses challenges to health technology assessment (HTA) agencies and payers when informing the clinical and cost-effectiveness of health technologies. Decision makers often need to make recommendations in the absence of well-established evidence on their validation, particularly when the surrogate endpoint is novel without clear links to the longer-term outcome. This study explored the guidance needs of HTA agencies and identified how they have considered and dealt with surrogate endpoints in cost-effectiveness analysis.

methodsA qualitative study was used to explore the professional experiences of international HTA staff and their collaborators. Data were collected using three focus groups with 29 participants representing 20 HTA agencies or associated organizations. Framework analysis was used to identify themes from the transcripts.

resultsHTA agencies frequently see submissions featuring surrogate endpoints. Issues they face include definitional concerns, absent or weak evidentiary links, and resource-intensive validation methods. Versatile guidance that is mindful of these challenges, such as those faced with rare diseases, is required. This would help to clarify expectations and help ascertain the required information from industry for economic modeling, on how to present the uncertainty arising from surrogate endpoints, and how to appropriately report the findings.

conclusionsDecision making using surrogate endpoints is a frequent and challenging problem faced by HTA agencies. These results provide the first-hand experiences and reflect the needs of HTA agencies globally. The resulting recommendations and considerations for the use of surrogate endpoints in economic modeling should benefit HTA agencies moving forward.

Indexed as

BiomarkersCost-Benefit AnalysisCost-Effectiveness AnalysisEndpoint DeterminationTechnology Assessment, BiomedicalDecision MakingFocus GroupsHumansQualitative ResearchBiomarkershealth economic modelhealth technology assessmentsurrogate endpointsurrogate outcome

Identifiers

PMID42563624
PMCPMC13468940

What OpenQuestion holds

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Read underepoch 390

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.