Evidence map›Paper›PMID 35025036›Full record

ArticleJournal of robotic surgery2022

Impact of robotic single and dual console systems in the training of minimally invasive gynecology surgery (MIGS) fellows.

Mateo G Leon, Aakriti R Carrubba, Christopher C DeStephano, Michael G Heckman, Emily C Craver, Tri A Dinh

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

6 authors at 3 institutions in 1 country.

Mateo G LeonMcGovern Medical School at The University of Texas Health Science Center at Houston, 6410 Fannin St # 1014, Houston, TX, 77030, USA. Mateo.G.Leon@uth.tmc.edu.ORCID http://orcid.org/0000-0003-1168-9977
Aakriti R CarrubbaDepartment of Medical and Surgical Gynecology, Mayo Clinic, Jacksonville, FL, USA.
Christopher C DeStephanoDepartment of Medical and Surgical Gynecology, Mayo Clinic, Jacksonville, FL, USA.
Michael G HeckmanDivision of Clinical Trials and Biostatistics, Mayo Clinic, Jacksonville, FL, USA.
Emily C CraverDivision of Clinical Trials and Biostatistics, Mayo Clinic, Jacksonville, FL, USA.
Tri A DinhDepartment of Medical and Surgical Gynecology, Mayo Clinic, Jacksonville, FL, USA.
WinnMed · USMayo Clinic in Florida · USThe University of Texas Health Science Center · US

Funding

Mayo Clinic Education Science Career Development Award (ESCDA) Scholars Program- 2021 Endowment for Education Research Award (EERA)
6 · The paper itself

Abstract

The advantages of dual console use in robotic surgical education have not been described. The aims of this study are to compare fellow console time, surgical steps performed, and surgical takeovers between attending and fellow surgeons using dual versus single console robotic systems. Participants included minimally invasive gynecologic surgery (MIGS) fellows (N = 3) and subspecialty trained gynecologic surgeons (N = 5). Prospective data were obtained on 126 patients (N = 77 single console, N = 49 dual console) undergoing robotic hysterectomy. Variables included demographics, surgical characteristics (fellow, month of fellowship, attending surgeon, concomitant oophorectomy, additional surgical procedures, estimated blood loss, specimen weight), and outcomes (console time, docking time, console time/docking time ratio, total case time, number of surgical steps performed by the fellow, number of surgical takeovers, complications). After controlling for potential confounders, fellows spent a mean of 25.8 min longer (P < 0.001) at the console in dual console operations compared to single. Dual console surgeries had a greater number of steps performed by the fellow (OR[> 5 steps]: 3.37, P = 0.009), a higher console time/docking time ratio (P < 0.001), and more surgical takeovers between fellow and attending (OR [> 1 takeover]: 3.53, P < 0.001). There were no significant differences between the two groups regarding docking time (P = 0.15), case time (P = 0.79), or complications (P = 0.30). Our findings suggest dual console robotic training provide fellows the opportunity for more "hands-on" experience with longer console time, higher number of surgical steps performed, and added interaction with the attending surgeon when compared with single console training. These surgical metrics provide objectivity in competency-based robotic training without increasing the complications or surgical time.

Indexed as

GynecologyRoboticsRobotic Surgical ProceduresFellowships and ScholarshipsFemaleHumansProspective StudiesCompetency-based educationDual consoleRobotic-assisted surgerySurgical metricsSurgical training

Identifiers

PMID35025036
OpenAlexW4226256570

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.