Evidence map›Paper›PMID 39102099›Full record

Article3D printing in medicine2024

Effectiveness of a new 3D printed simulator for mitral transcatheter edge-to-edge repair in enhancing the confidence and procedural skills of the operator.

Angel Babu, Michele Bertolini, Michael Mullen, Andrew Cook, Aigerim Mullen, Claudio Capelli

Abstract read
In one paragraph

Article in 3D printing in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. 3D Printing for Mitral Valve Disease: A Systematic Review.Interdisciplinary cardiovascular and thoracic surgery · 2026
    Pooled it
  2. A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 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.

Angel BabuInstitute of Cardiovascular Science, University College London, London, WC1E 6BT, UK.
Michele BertoliniDepartment of Mechanical Engineering, Politecnico di Milano, Milan, 20133, Italy. michele.bertolini@polimi.it.
Michael MullenBarts Health NHS Trust, London, E1 1BB, UK.
Andrew CookInstitute of Cardiovascular Science, University College London, London, WC1E 6BT, UK.
Aigerim MullenInstitute of Cardiovascular Science, University College London, London, WC1E 6BT, UK.
Claudio CapelliInstitute of Cardiovascular Science, University College London, London, WC1E 6BT, UK. c.capelli@ucl.ac.uk.

Funding

British Heart Foundation PG/16/99/32572
6 · The paper itself

Abstract

background. Mitral transcatheter edge-to-edge repair (m-TEER) is a minimally invasive procedure for treating mitral regurgitation (MR). m-TEER is a highly technical procedure, and a steep learning curve needs to be overcome for operators to ensure optimal patient outcomes and minimise procedural complications. Training via online simulation and observation of procedures is not sufficient to establish operator confidence; thus, advanced hands-on training modalities need to be explored and developed.

methods. In this study, a novel anatomical simulator for m-TEER training was evaluated in comparison to a standard model. The proposed simulator resembled the anatomical features of the right and left atrium, left ventricle and mitral valve apparatus. Participants in the questionnaire (n = 18) were recruited across 4 centres in London with (n = 8) and without (n = 10) prior experience in m-TEER. Participants were asked to simulate procedures on both an idealised, routinely used simulator and the newly proposed anatomical model. The questionnaire was designed to assess (i) participants' confidence before and after training and (ii) the realism of the model in the context of the m-TEER procedure. The results of the questionnaires were collected, and statistical analysis (t-test) was performed.

results. Both models were equally beneficial in increasing operator confidence before and after the simulation of the intervention (P = 0.43). However, increased confidence after training with the anatomical model was recorded (P = 0.02). Participants with prior experience with m-TEER therapy were significantly more confident about the procedure after training with the anatomical model than participants who had no prior experience (P = 0.002). On average, all participants thought that the anatomical model was effective as a training simulator (P = 0.013) and should be integrated into routine training (P = 0.015)). Participants with experience thought that the anatomical model was more effective at reproducing the m-TEER procedure than the idealised model (P = 0.03).

conclusions. This study showed how a more realistic simulator can be used to improve the effectiveness of m-TEER procedural training. Such pilot results suggest planning future and large investigations to evaluate improvements in clinical practice.

Indexed as

3D printingAnatomical simulatorsMitraClip™Mitral regurgitation (MR)Mitral transcatheter edge-to-edge repair (m-TEER)Mitral valve (MV)Surgical training

Identifiers

PMID39102099
PMCPMC11299365

What OpenQuestion holds

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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.