Evidence map›Paper›PMID 37999821›Full record

ReviewHeart failure reviews2024

Large animal models to study effectiveness of therapy devices in the treatment of heart failure with preserved ejection fraction (HFpEF).

Shane Michael Fisher, Anjali Rosanna Murally, Zahra Rajabally, Talal Almas, Maimoona Azhar, Faisal H Cheema, Andrew Malone, Babar Hasan, Nadeem Aslam, Jemil Saidi and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Sexual dimorphism in animal models of heart failure with preserved ejection fraction.Journal of applied physiology (Bethesda, Md. : 1985) · 2025
    Review
  5. Review
  6. Review
  7. 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

12 authors.

Shane Michael FisherHealth Sciences Centre, UCD School of Medicine, University College Dublin, Belfield, Dublin 4, Dublin, Ireland.
Anjali Rosanna MurallyTissue Engineering Research Group (TERG), Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland - RCSI University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin 2, Dublin, D02 YN77, Ireland.
Zahra RajaballyTissue Engineering Research Group (TERG), Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland - RCSI University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin 2, Dublin, D02 YN77, Ireland.
Talal AlmasUniversity Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Maimoona AzharGraduate Entry Medicine, School of Medicine, RCSI University of Medicine and Health Sciences, Dublin 2, 123 St. Stephen's Green, Dublin, D02 YN77, Ireland.
Faisal H CheemaTilman J. Fertitta Family College of Medicine, University of Houston, Houston, TX, USA.
Andrew MaloneTissue Engineering Research Group (TERG), Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland - RCSI University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin 2, Dublin, D02 YN77, Ireland.
Babar HasanDivision of Cardiothoracic Sciences, Sindh Institute of Urology and Transplantation (SIUT), Karachi, Pakistan.
Nadeem AslamDivision of Cardiothoracic Sciences, Sindh Institute of Urology and Transplantation (SIUT), Karachi, Pakistan.
Jemil SaidiTissue Engineering Research Group (TERG), Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland - RCSI University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin 2, Dublin, D02 YN77, Ireland.
Jim O'NeillDepartment of Cardiology, Connolly Hospital, Blanchardstown, Dublin, Ireland. jimoneill@rcsi.ie.
Aamir HameedTissue Engineering Research Group (TERG), Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland - RCSI University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin 2, Dublin, D02 YN77, Ireland. aamirhameed@rcsi.ie.ORCID 0000-0002-9242-6185

Funding

Enterprise Ireland CF-2019-1136-P
6 · The paper itself

Abstract

Our understanding of the complex pathophysiology of Heart failure with preserved ejection fraction (HFpEF) is limited by the lack of a robust in vivo model. Existing in-vivo models attempt to reproduce the four main phenotypes of HFpEF; ageing, obesity, diabetes mellitus and hypertension. To date, there is no in vivo model that represents all the haemodynamic characteristics of HFpEF, and only a few have proven to be reliable for the preclinical evaluation of potentially new therapeutic targets. HFpEF accounts for 50% of all the heart failure cases and its incidence is on the rise, posing a huge economic burden on the health system. Patients with HFpEF have limited therapeutic options available. The inadequate effectiveness of current pharmaceutical therapeutics for HFpEF has prompted the development of device-based treatments that target the hemodynamic changes to reduce the symptoms of HFpEF. However, despite the potential of device-based solutions to treat HFpEF, most of these therapies are still in the developmental stage and a relevant HFpEF in vivo model will surely expedite their development process. This review article outlines the major limitations of the current large in-vivo models in use while discussing how these designs have helped in the development of therapy devices for the treatment of HFpEF.

Indexed as

Diabetes MellitusHeart FailureHypertensionAnimalsHumansModels, AnimalStroke VolumeCardiometabolic syndromeHeart failureHeart failure with preserved ejection fraction (HFpEF)HFpEF devicesIn vivo modelLV pressure overload

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.