Physiological Ventricular Simulator for Valve Surgery Training.

Kasparas Zilinskas, Jennie H Kwon, Katherine Bishara, Kaila Hayden, Ritchelli Quintao, Taufiek Konrad Rajab

Open access · goldAbstract read

In one paragraph

Article in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

0.4field-weighted citation impact, top 38% of its field

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

1 citing paper in PubMed, 2 citations in OpenAlex.

Physically validated mitral valve models for surgical simulation: Bridging anatomy, pathology, and practice.JTCVS open · 2026
Article

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 at 1 institution in 1 country.

Kasparas ZilinskasDepartment of Surgery, Medical University of South Carolina, Clinical Sciences Building Suite 420, 96 Jonathan Lucas St., Charleston, SC 29425, USA.

Jennie H KwonDepartment of Surgery, Medical University of South Carolina, Clinical Sciences Building Suite 420, 96 Jonathan Lucas St., Charleston, SC 29425, USA.

Katherine BisharaDepartment of Surgery, Medical University of South Carolina, Clinical Sciences Building Suite 420, 96 Jonathan Lucas St., Charleston, SC 29425, USA.ORCID 0000-0002-9785-9836

Kaila HaydenDepartment of Surgery, Medical University of South Carolina, Clinical Sciences Building Suite 420, 96 Jonathan Lucas St., Charleston, SC 29425, USA.

Ritchelli QuintaoDepartment of Surgery, Medical University of South Carolina, Clinical Sciences Building Suite 420, 96 Jonathan Lucas St., Charleston, SC 29425, USA.

Taufiek Konrad RajabDepartment of Surgery, Medical University of South Carolina, Clinical Sciences Building Suite 420, 96 Jonathan Lucas St., Charleston, SC 29425, USA.

Medical University of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical simulation is becoming increasingly important in training cardiac surgeons. However, there are currently no training simulators capable of testing the quality of simulated heart valve procedures under dynamic physiologic conditions. Here we describe a dynamic ventricular simulator, consisting of a 3D printed valve suspension chamber and a model 1423 Harvard apparatus pulsatile pump, which can provide close to physiologic hemodynamic perfusion of porcine aortic roots attached to the valve chamber for education and training in cardiac surgery. The simulator was validated by using it to test aortic valve leaflet repairs (

Indexed as

3D printingaortic procedurecardiothoracicsimulationsurgeryvalve replacement

Identifiers

PMID35735507

DOI10.3390/bioengineering9060264

PMCPMC9219686

OpenAlexW4283219273

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.