Evidence map›Paper›PMID 33712963›Full record

ReviewCurrent urology reports2021

Innovations in Urologic Surgical Training.

Runzhuo Ma, Sharath Reddy, Erik B Vanstrum, Andrew J Hung

Abstract readReview
In one paragraph

Review in Current urology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Validity of the Rezum Simulator for Trainees.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2023
    Article
  9. 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

4 authors.

Runzhuo MaCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, 1441 Eastlake Avenue Suite 7416, Los Angeles, CA, 90089, USA.
Sharath ReddyCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, 1441 Eastlake Avenue Suite 7416, Los Angeles, CA, 90089, USA.
Erik B VanstrumCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, 1441 Eastlake Avenue Suite 7416, Los Angeles, CA, 90089, USA.
Andrew J HungCenter for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, 1441 Eastlake Avenue Suite 7416, Los Angeles, CA, 90089, USA. andrew.hung@med.usc.edu.ORCID http://orcid.org/0000-0002-7201-6736

Funding

Development of Machine Learning Algorithms to Assess and Train Vesico-Urethral Anastomosis during Robot Assisted Radical ProstatectomyK23EB026493 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HUNG, ANDREW · 2018 to 2020
$579k
NIBIB NIH HHS K23 EB026493
6 · The paper itself

Abstract

purpose of reviewThis review aims to summarize innovations in urologic surgical training in the past 5 years. RECENT

findingsMany assessment tools have been developed to objectively evaluate surgical skills and provide structured feedback to urologic trainees. A variety of simulation modalities (i.e., virtual/augmented reality, dry-lab, animal, and cadaver) have been utilized to facilitate the acquisition of surgical skills outside the high-stakes operating room environment. Three-dimensional printing has been used to create high-fidelity, immersive dry-lab models at a reasonable cost. Non-technical skills such as teamwork and decision-making have gained more attention. Structured surgical video review has been shown to improve surgical skills not only for trainees but also for qualified surgeons. Research and development in urologic surgical training has been active in the past 5 years. Despite these advances, there is still an unfulfilled need for a standardized surgical training program covering both technical and non-technical skills.

Indexed as

Augmented RealityCadaverClinical CompetenceEducation, Medical, GraduateHumansSimulation TrainingUrologic Surgical ProceduresUrologyVirtual RealityAssessmentRobotic surgerySimulationSurgical educationSurgical trainingUrology

Identifiers

PMID33712963
PMCPMC8106917

What OpenQuestion holds

Textmetadata
LicenceTDM
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.