Journal article
Recommendations for evaluating a single surrogate endpoint (REASSurE): consensus based, surrogate evaluation framework with explanation and elaboration
BMJ. British medical journal (Clinical research ed.), Vol.394, e100618
09/29/2026
DOI: 10.1136/bmj-2026-100618
Abstract
The use of a surrogate endpoint to replace a primary outcome relevant to patients in a clinical trial may allow faster approval of a novel treatment, but at the cost of increased uncertainty about treatment benefit. This risk may be amplified if the surrogate endpoint was inadequately or inappropriately evaluated against the patient relevant outcome. Many components of this evaluation currently lack consensus, including the most important non-statistical factors, the choice of statistical method, and whether numerical thresholds should be used. This paper presents a consensus based, multi-stakeholder framework (REASSurE: Recommendations for Evaluating A Single Surrogate Endpoint) containing a list of mandatory and recommended items for surrogate endpoint evaluation, with guidance on how to assess each item. Statisticians, trials methodologists, regulators, health technology assessment agencies, payers, and clinicians could use the REASSurE framework to achieve a holistic evaluation of a candidate surrogate endpoint, which is vital to ensure that the use of the surrogate endpoint is an appropriate decision.
Details
- Title: Subtitle
- Recommendations for evaluating a single surrogate endpoint (REASSurE): consensus based, surrogate evaluation framework with explanation and elaboration
- Creators
- Wang Lo - Glasgow Centre for Population HealthStuart Baker - Independent SectorBertolaccini LucaBujkiewicz SylwiaBunce CateyMarc Buyse - International Drug Development Institute (Belgium)Ciani OrianaRobin Christensen - University of Southern DenmarkJane Daniels - University of NottinghamSara Gandini - European Institute of OncologyTamer Gheita - Cairo UniversityPeter Gilbert - Fred Hutch Cancer CenterLaura Jaeger - Center for Drug Evaluation and ResearchKareithi DorcasLassere MarissaNicholas Longford - SGH Warsaw School of EconomicsAnthony Manyara - University of BristolOba KojiEmily Roberts - University of IowaRod Taylor - University of GlasgowCarlos Toro-Huamanchumo - Universidad San Ignacio de LoyolaLewis SteffHannah Ensor - University of EdinburghChristopher Weir - University of Edinburgh
- Resource Type
- Journal article
- Publication Details
- BMJ. British medical journal (Clinical research ed.), Vol.394, e100618
- DOI
- 10.1136/bmj-2026-100618
- eISSN
- 1756-1833
- Publisher
- BMJ Publishing Group LTD
- Language
- English
- Date published
- 09/29/2026
- Academic Unit
- Biostatistics
- Record Identifier
- 9985237505302771
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