Evidence map›Paper›PMID 41639362›Full record

ArticleJournal of cardiovascular translational research2026

In Vitro Assessment of Coronary Perfusion after Valve-in-Valve Transcatheter Aortic Valve Implantation in a High-Risk Patient-Specific Experimental Model.

Francesca Perico, Claudia Romagnoni, Fabio Pappalardo, Guido Gelpi, Gianfranco Beniamino Fiore, Riccardo Vismara

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Article in Journal of cardiovascular translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

Francesca PericoDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy. francesca.perico@polimi.it.ORCID 0000-0003-0704-5108
Claudia RomagnoniCardiac Surgery Unit, ASST Ovest Milanese - Legnano Hospital, Milan, Italy.
Fabio PappalardoDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Guido GelpiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Gianfranco Beniamino FioreDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Riccardo VismaraDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary obstruction following transcatheter aortic valve-in-valve implantation (VIV-TAVI) carries a high mortality risk. This in-vitro study assessed coronary perfusion in a high-risk VIV-TAVI scenario. A patient deemed at high-risk and treated with preventive Chimney stenting was selected as case study. A 3D-printed aortic root model was fabricated from pre-operative imaging and used to replicate the patient's VIV-TAVI setting. A CoreValve-Evolut-23 was implanted within a Trifecta-19 at five depths, with commissural alignment and 60° misalignment, to explore procedural variability and associated risk margins. The model was tested in a pulsatile mock loop with a coronary perfusion simulator. Flow and pressure were recorded pre- and post-VIV-TAVI under physiological conditions. Across all tested configurations, VIV-TAVI didn't significantly impair left or right coronary flows. The recommended depth optimized hemodynamic valve performance. Findings suggest refining coronary obstruction risk stratification in VIV-TAVI to improve decision-making regarding preventive interventions.

Indexed as

Aortic ValveAortic Valve StenosisCoronary CirculationCoronary StenosisHemodynamicsModels, CardiovascularPatient-Specific ModelingTranscatheter Aortic Valve ReplacementBlood Flow VelocityHeart Valve ProsthesisHumansPrinting, Three-DimensionalProsthesis DesignPulsatile FlowRisk AssessmentRisk FactorsAortic valveCoronary obstructionIn-vitroMock loopTAVIValve-in-Valve

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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 OpenQuestion graph.