Literature DB >> 32520706

Current status of wet lab and cadaveric simulation in urological training: A systematic review.

Ahmed Al-Jabir1, Abdullatif Aydın2, Hussain Al-Jabir3, M Shamim Khan2,4, Prokar Dasgupta2,4, Kamran Ahmed2,5.   

Abstract

INTRODUCTION: We undertook a systematic review of the use of wet lab (animal and cadaveric) simulation models in urological training, with an aim to establishing a level of evidence (LoE) for studies and level of recommendation (LoR) for models, as well as evaluating types of validation.
METHODS: Medline, EMBASE, and Cochrane databases were searched for English-language studies using search terms including a combination of surgery, surgical training, and medical education. These results were combined with wet lab, animal model, cadaveric, and in-vivo. Studies were then assigned a LoE and LoR if appropriate as per the education-modified Oxford Centre for Evidence-Based Medicine classification.
RESULTS: A total of 43 articles met the inclusion criteria. There was a mean of 23.1 (±19.2) participants per study with a median of 20. Overall, the studies were largely of low quality, with 90.7% of studies being lower than 2a LoE (n=26 for LoE 2b and n=13 for LoE 3). The majority (72.1%, n=31) of studies were in animal models and 27.9% (n=12) were in cadaveric models.
CONCLUSIONS: Simulation in urological education is becoming more prevalent in the literature, however, there is a focus on animal rather than cadaveric simulation, possibly due to cost and ethical considerations. Studies are also predominately of a low LoE; more higher LoEs, especially randomized controlled studies, are needed.

Entities:  

Year:  2020        PMID: 32520706     DOI: 10.5489/cuaj.6520

Source DB:  PubMed          Journal:  Can Urol Assoc J        ISSN: 1911-6470            Impact factor:   1.862


  2 in total

1.  Automating Endoscope Motion in Robotic Surgery: A Usability Study on da Vinci-Assisted Ex Vivo Neobladder Reconstruction.

Authors:  Tommaso Da Col; Guido Caccianiga; Michele Catellani; Andrea Mariani; Matteo Ferro; Giovanni Cordima; Elena De Momi; Giancarlo Ferrigno; Ottavio de Cobelli
Journal:  Front Robot AI       Date:  2021-11-25

2.  The SIMULATE ureteroscopy training curriculum: educational value and transfer of skills.

Authors:  Abdullatif Aydın; Kamran Ahmed; Umair Baig; Nicholas Raison; Andrea G Lantz Powers; Nicola Macchione; Ahmed Al-Jabir; Takashige Abe; Muhammad Shamim Khan; Prokar Dasgupta
Journal:  World J Urol       Date:  2021-02-03       Impact factor: 4.226

  2 in total

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