Evidence map›Paper›PMID 35353300›Full record

Trial reportJournal of robotic surgery2023

Development of an affordable, immersive model for robotic vaginal cuff closure: a randomized trial.

Federico Gheza, Lauren Pinkard, Arielle Grand, Gabriela Aguiluz-Cornejo, Alberto Mangano, Andras Ladanyi

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of robotic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Federico GhezaDepartment of Surgery, University of Illinois Chicago, 840 S Wood Street Suite 435E, Chicago, IL, 60612, USA. federicoghezamd@gmail.com.
Lauren PinkardDepartment of Obstetrics and Gynecology, University of Illinois Chicago, Chicago, IL, USA.
Arielle GrandDepartment of Obstetrics and Gynecology, University of Illinois Chicago, Chicago, IL, USA.
Gabriela Aguiluz-CornejoDepartment of Surgery, University of Illinois Chicago, 840 S Wood Street Suite 435E, Chicago, IL, 60612, USA.
Alberto ManganoDepartment of Surgery, University of Illinois Chicago, 840 S Wood Street Suite 435E, Chicago, IL, 60612, USA.
Andras LadanyiDepartment of Obstetrics and Gynecology, University of Illinois Chicago, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Safe and secure closure of the vaginal cuff is a critical component of a robotic assisted hysterectomy procedure. Our aim in this study is to develop and validate a novel vaginal cuff closure model (VC) created from porcine heart that allows trainees to obtain competency in a low-risk environment. Ten expert and 20 novice robotic surgeons performed a cuff closure exercise on the VC model and on the dV-Trainer

Indexed as

RoboticsRobotic Surgical ProceduresVirtual RealityAnimalsClinical CompetenceComputer SimulationFemaleHumansSwineModelRobotic surgeryTrainingVaginal cuff closure

Identifiers

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.