Evidence map›Paper›PMID 34782966›Full record

ArticleSurgical endoscopy2022

Three-D-printed simulator for kidney transplantation.

Andrea Peri, Stefania Marconi, Virginia Gallo, Valeria Mauri, Erika Negrello, Massimo Abelli, Elena Ticozzelli, Ottavia Caserini, Luigi Pugliese, Ferdinando Auricchio and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Technical skills simulation in transplant surgery: a systematic review.Global surgical education : journal of the Association for Surgical Education · 2022
    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

11 authors at 1 institution in 1 country.

Andrea PeriDepartment of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Stefania MarconiDepartment of Architecture and Civil Engineering, University of Pavia, Pavia, Italy.
Virginia GalloDepartment of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Valeria Mauri3D4Med Laboratory, Pavia, Italy.
Erika Negrello3D4Med Laboratory, Pavia, Italy.
Massimo AbelliDepartment of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Elena TicozzelliDepartment of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Ottavia CaseriniDepartment of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Luigi PuglieseDepartment of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Ferdinando AuricchioDepartment of Architecture and Civil Engineering, University of Pavia, Pavia, Italy.
Andrea PietrabissaDepartment of Surgery, University of Pavia and Fondazione IRCCS Policlinico San Matteo, Pavia, Italy. a.pietrabissa@smatteo.pv.it.ORCID 0000-0001-9703-7587
University of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-Dimensional (3D) printing technology can be used to manufacture training platforms for surgeons. Kidney transplantation offers a suitable model, since it mostly entails vascular and ureteric anastomoses.

methodsA new simulation platform for surgical training in kidney transplantation was realized and validated in this study. A combination of different 3-D printing technology was used to reproduce the key anatomy of lower abdomen, of pelvis, and of a kidney graft, including their mechanical properties.

resultsThirty transplantations were performed by two junior trainees with no previous experience in the area. Analysis of the times required to perform the simulated transplantation showed that proficiency was reached after about ten cases, as indicated by a flattening of the respective curves that corresponded to a shortening of about 40% and 47%, respectively, of the total time initially needed to perform the whole simulated transplantation. Although an objective assessment of the technical quality of the anastomoses failed to show a significant improvement throughout the study, a growth in self-confidence with the procedure was reported by both trainees.

conclusionThe quality of the presented simulation platform aimed at reproducing in the highest possible way a realistic model of the operative setting and proved effective in providing an integrated training environment where technical skills are enhanced together with a team-training experience. As a result the trainees' self-confidence with the procedure resulted enforced. Three-D--printed models can also offer pre-operative patient-specific training when anatomical variants are anticipated by medical imaging. An analysis of the costs related to the use of this platform is also provided and discussed.

Indexed as

Kidney TransplantationSimulation TrainingClinical CompetenceComputer SimulationHumansKidneyModels, AnatomicPrinting, Three-Dimensional3-D printingKidney transplantationSimulationTraining

Identifiers

PMID34782966
OpenAlexW3211427355

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.