Evidence map›Paper›PMID 33191787›Full record

ArticleJournal of endourology2021

Efficiency and Accuracy of Robotic Surgical Performance Decayed Among Urologists During COVID-19 Shutdown.

Balint Der, Daniel Sanford, Ryan Hakim, Erik Vanstrum, Jessica H Nguyen, Andrew J Hung

Open access · greenAbstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of endourology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Surgery and technical skill decay.International journal of surgery (London, England) · 2025
    Review
  2. Review
  3. Article
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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.

Balint DerCatherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California, Institute of Urology, Los Angeles, California, USA.
Daniel SanfordCatherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California, Institute of Urology, Los Angeles, California, USA.
Ryan HakimCatherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California, Institute of Urology, Los Angeles, California, USA.
Erik VanstrumCatherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California, Institute of Urology, Los Angeles, California, USA.
Jessica H NguyenCatherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California, Institute of Urology, Los Angeles, California, USA.
Andrew J HungCatherine & Joseph Aresty Department of Urology, Center for Robotic Simulation & Education, University of Southern California, Institute of Urology, Los Angeles, California, USA.
University of Southern California · US

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

PubMed holds no abstract for this paper.

Indexed as

Clinical CompetenceCOVID-19Robotic Surgical ProceduresSimulation TrainingUrologistsComputer SimulationHumansUser-Computer InterfaceCOVID-19 shutdownskill degradationsurgical simulationsuturingvirtual reality

Identifiers

PMID33191787
PMCPMC8252896
OpenAlexW3099250301

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.