Evidence map›Paper›PMID 37736826›Full record

ReviewCurrent urology reports2023

Recent Advances in Surgical Simulation For Resident Education.

Christopher Wanderling, Aaron Saxton, Dennis Phan, Lauren Sheppard, Nathan Schuler, Ahmed Ghazi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
9.2field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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.

Christopher WanderlingBrady Urological Institute, John's Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-3011-9080
Aaron SaxtonBrady Urological Institute, John's Hopkins University, Baltimore, MD, USA.
Dennis PhanBrady Urological Institute, John's Hopkins University, Baltimore, MD, USA.
Lauren SheppardBrady Urological Institute, John's Hopkins University, Baltimore, MD, USA.
Nathan SchulerBrady Urological Institute, John's Hopkins University, Baltimore, MD, USA.
Ahmed GhaziBrady Urological Institute, John's Hopkins University, Baltimore, MD, USA. aghazi1@jhmi.edu.ORCID http://orcid.org/0000-0002-4325-1446
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewSurgical simulation has become a cornerstone for the training of surgical residents, especially for urology residents. Urology as a specialty bolsters a diverse range of procedures requiring a variety of technical skills ranging from open and robotic surgery to endoscopic procedures. While hands-on supervised training on patients still remains the foundation of residency training and education, it may not be sufficient to achieve proficiency for graduation even if case minimums are achieved. It has been well-established that simulation-based education (SBE) can supplement residency training and achieve the required proficiency benchmarks. RECENT

findingsLow-fidelity modules, such as benchtop suture kits or laparoscopic boxes, can establish a strong basic skills foundation. Eventually, residents progress to high-fidelity models to refine application of technical skills and improve operative performance. Human cadavers and animal models remain the gold standard for procedural SBE. Recently, given the well-recognized financial and ethical costs associated with cadaveric and animal models, residency programs have shifted their investments toward virtual and more immersive simulations. Urology as a field has pushed the boundaries of SBE and has reached a level where unexplored modalities, e.g., 3D printing, augmented reality, and polymer casting, are widely utilized for surgical training as well as preparation for challenging cases at both the residents, attending and team training level.

Indexed as

Internship and ResidencyRobotic Surgical ProceduresSimulation TrainingUrologyClinical CompetenceComputer SimulationCurriculumEducation, Medical, GraduateHumansEducationSimulationTechnologyUrology

Identifiers

PMID37736826
OpenAlexW4386945525

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.