Evidence map›Paper›PMID 41892985›Full record

ArticleJournal of market access & health policy2026

Validation of a De Novo Health Economic Model for Finerenone in Heart Failure with Left Ventricular Ejection Fraction ≥40.

Tobiasz Lemański, Kerstin Folkerts, Phil McEwan, Paul Mernagh, Mateusz Robert Żemojdzin, Michał Pochopień

Abstract read
In one paragraph

Article in Journal of market access & health policy, 2026. 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

6 authors.

Tobiasz LemańskiClever-Access, Wadowicka 8a, 30-001 Krakow, Poland.
Kerstin FolkertsBayer AG, Aprather Weg 18a, 42113 Wuppertal, Germany.
Phil McEwanHealth Economics & Outcomes Research Ltd., Unit A, Cardiff Gate Business Park, Copse Walk, Pontprennau, Cardiff CF23 8RB, UK.ORCID 0000-0001-7488-9058
Paul MernaghBayer AG, Müllerstraße 178, 13353 Berlin, Germany.ORCID 0009-0007-5939-973X
Mateusz Robert ŻemojdzinClever-Access, Wadowicka 8a, 30-001 Krakow, Poland.ORCID 0009-0007-1588-758X
Michał PochopieńClever-Access, Wadowicka 8a, 30-001 Krakow, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to validate the health economic model for finerenone in the treatment of patients with heart failure (HF) and left ventricular ejection fraction (LVEF) ≥40% in the United Kingdom. A Markov model informed by the pivotal FINEARTS-HF trial compared finerenone + standard of care (SoC) to SoC alone. Cross-validation was performed on the results (life years [LYs] and quality adjusted life years [QALYs]) for the SoC arm against three models in HF with LVEF >40%. External validation compared cardiovascular (CV) mortality and the number of total HF events (hospitalisation for heart failure [HFF] and urgent heart failure visit [UHFV]) against FINEARTS-HF. The model estimated similar discounted outcomes to other models in HF (6.47 vs. 6.63-7.91 LYs and 4.78 vs. 4.63-5.27 QALYs). CV deaths (22 vs. 27) and UHFV events (60 vs. 61) avoided with finerenone were similar between the model and FINEARTS-HF. The broad estimated range of avoided HHF events (205-303 vs. 219 in FINEARTS-HF) was largely driven by baseline patient age. This comprehensive validation exercise demonstrated that the finerenone model accurately estimated observed clinical data and was well aligned in its projections with previous models assessing similar populations.

Indexed as

finerenonehealth economic analysisheart failure with moderately reduced ejection fractionheart failure with preserved ejection fractionmodel validation

Identifiers

PMID41892985
PMCPMC13028132

What Socratic holds

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LicenceCC BY
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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 Socratic graph.