Evidence map›Paper›PMID 40927978›Full record

ArticleJournal of comparative effectiveness research2025

Composite endpoints in health technology assessment: Part 2 - expanding the evidence base with a framework for best modeling practice.

Andrew Briggs, Jieling Chen, David Booth, Jason A Davis, Aris Angelis, Muthiah Vaduganathan, Pardeep S Jhund

Abstract read
In one paragraph

Article in Journal of comparative effectiveness research, 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

7 authors.

Andrew BriggsDepartment of Health Services Research & Policy, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-0777-1997
Jieling ChenGlobal Market Access & Pricing, AstraZeneca R&D, Gaithersburg, MD 20878, USA.
David BoothHealth Economics & Outcomes Research Ltd, Cardiff, UK.
Jason A DavisHealth Economics & Outcomes Research Ltd, Cardiff, UK.
Aris AngelisDepartment of Health Services Research & Policy, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-0261-4634
Muthiah VaduganathanCardiovascular Division & Center for Cardiometabolic Implementation Science, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Pardeep S JhundBritish Heart Foundation, University of Glasgow, Glasgow, UK.ORCID 0000-0003-4306-5317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first paper of this two-part series critically examined the role of composite endpoints in health technology assessments (HTAs) and outlined strategies for determining whether to employ the composite estimate of treatment effect or disaggregate into the component endpoints of the composite and apply separate treatment effects within a modeling framework. In this second paper, we expand the discussion beyond a pivotal trial and consider the way in which additional evidence from the same indication for different drugs in the same class, or the same drug for different indications, could be employed within HTAs. We offer a continuation of the case study of dapagliflozin for the treatment of heart failure with preserved or mildly reduced ejection fraction, where the evidence base was expanded to consider empagliflozin for the same indication, as well as both dapagliflozin and empagliflozin for heart failure with reduced ejection fraction. We conclude that, where there are multiple drugs in the same class and/or multiple indications for a class of drugs, HTAs should consider the exchangeability of the information that comes from additional evidence beyond the pivotal registration study. Further, we show how consideration of this additional evidence can support the decision concerning whether to disaggregate the components of a composite endpoint or employ the treatment effect from the composite for each endpoint.

Indexed as

Endpoint DeterminationHeart FailureTechnology Assessment, BiomedicalBenzhydryl CompoundsGlucosidesHumansSodium-Glucose Transporter 2 InhibitorsStroke VolumeBenzhydryl CompoundsdapagliflozinempagliflozinGlucosidesSodium-Glucose Transporter 2 Inhibitorscomposite endpointscost-effectivenesshealth economic modelinghealth technology assessmentsodium-glucose co-transporter 2 inhibitor

Identifiers

PMID40927978
PMCPMC12465966

What OpenQuestion holds

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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.