Evidence map›Paper›PMID 40853579›Full record

ReviewAnnals of biomedical engineering2025

Pre-Clinical Models of Heart Failure with Preserved Ejection Fraction: Advancing Knowledge for Device Based Therapies.

Nina Langer, Andreas Escher, Caglar Ozturk, Andrew F Stephens, Ellen T Roche, Marcus Granegger, David M Kaye, Shaun D Gregory

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Nina LangerDepartment of Mechanical and Aerospace Engineering, Monash University, Melbourne, VIC, Australia. nina.langer@monash.edu.ORCID http://orcid.org/0009-0005-5175-929X
Andreas EscherInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Caglar OzturkBioengineering Science Research Group, School of Engineering, University of Southampton, Southampton, UK.
Andrew F StephensSchool of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia.
Ellen T RocheInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Marcus GraneggerDepartment of Cardiac Surgery, Medical University of Vienna, Vienna, Austria.
David M KayeThe Department of Cardiology, The Alfred Hospital, Melbourne, VIC, Australia.
Shaun D GregoryCentre for Biomedical Technologies and School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure with preserved ejection fraction (HFpEF) is a growing health problem worldwide, accounting for half of all heart failure cases. HFpEF patients present with diverse underlying causes and symptoms, making diagnosis and treatment challenging. Current pharmacological therapies are inadequate, while approved device-based therapies have shown limited success due to patient heterogeneity. This underscores the need for improved pre-clinical models, critical for guiding the design and development of effective therapeutic devices. This paper presents an overview of current pre-clinical HFpEF models, including in-silico, in-vitro, ex-vivo, and in-vivo approaches, aimed at advancing the understanding of HFpEF physiology and the development of device-based therapies. We examined each model's ability to replicate key HFpEF characteristics, discuss their respective strengths and limitations, and highlight their role in supporting the creation of clinically relevant solutions. Additionally, the potential of emerging advancements is explored.

Indexed as

Heart FailureModels, CardiovascularStroke VolumeAnimalsDisease Models, AnimalHumansEx-vivo modelsHFpEFIn-silico modelsIn-vitro modelsIn-vivo modelsMock circulation loops

Identifiers

PMID40853579
PMCPMC12575520

What Socratic holds

Textmetadata
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.