Evidence map›Paper›PMID 41660002›Full record

ArticleFrontiers in medical technology2025

Large animal models of ischemic mitral regurgitation-systematic review and meta-analysis.

Christian D Andreasen, Tanita D Jeppesen, J Michael Hasenkam, Johannes H Jedrzejczyk

Abstract read
In one paragraph

Article in Frontiers in medical technology, 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

4 authors.

Christian D AndreasenDepartment of Cardiothoracic and Vascular Surgery, Aarhus University Hospital, Aarhus, Denmark.
Tanita D JeppesenDepartment of Cardiothoracic and Vascular Surgery, Aarhus University Hospital, Aarhus, Denmark.
J Michael HasenkamDepartment of Cardiothoracic and Vascular Surgery, Aarhus University Hospital, Aarhus, Denmark.
Johannes H JedrzejczykDepartment of Cardiothoracic and Vascular Surgery, Aarhus University Hospital, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ischaemic mitral regurgitation (IMR) is a significant complication of myocardial infarction associated with increased morbidity and mortality. Large animal models are essential for testing novel mitral valve therapies, yet no consensus exists on the optimal infarction strategy to induce IMR. Methods: A systematic review and meta-analysis were conducted to evaluate infarction strategies used to induce IMR in large animal models. Studies were identified through database searches and screened according to predefined inclusion criteria. Subgroups were stratified by infarction strategy. Proportions of IMR development and severity were analysed using a random-effects model, and reporting quality was assessed across studies. Results: Forty-four studies met the inclusion criteria, comprising 869 animals across 52 subgroups. Ethanol injection in select obtuse marginal arteries (EtOH-OMx strategy) yielded the highest rate of IMR development (87%, 95% CI: 79%-96%) with the lowest associated mortality. Ligation of obtuse marginal arteries under cardiopulmonary bypass (CPB-OM2, OM3 and CPB-OMx) demonstrated high mortality and inconsistent IMR severity. Reporting quality was variable, with frequent omissions regarding sex, randomisation, and adverse event documentation. Conclusions: This review identifies the EtOH-OMx strategy as a promising method for inducing IMR in large animal models, demonstrating favourable performance within the limitations of available data.

Indexed as

cardiac diseaseischemic mitral regurgitation (IMR)large animal modelsmitral valve (MV)translational medicine

Identifiers

PMID41660002
PMCPMC12880048

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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.