Evidence map›Paper›PMID 29603010›Full record

Observational studySurgical endoscopy2018

A prospective, single-arm study on the use of the da Vinci® Table Motion with the Trumpf TS7000dV operating table.

Luca Morelli, Matteo Palmeri, Tommaso Simoncini, Vito Cela, Alessandra Perutelli, Cesare Selli, Piero Buccianti, Francesco Francesca, Massimo Cecchi, Cristina Zirafa and 3 more

Open access · greenAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Surgical endoscopy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  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

13 authors at 5 institutions in 2 countries.

Luca MorelliGeneral Surgery Unit, Department of Surgery, Translational and new Technologies in Medicine, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy. luca.morelli@unipi.it.ORCID 0000-0002-7742-9556
Matteo PalmeriGeneral Surgery Unit, Department of Surgery, Translational and new Technologies in Medicine, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Tommaso SimonciniDivision of Obstetrics and Gynecology, Department of Experimental and Clinical Medicine, University of Pisa, Pisa, Italy.
Vito CelaDivision of Obstetrics and Gynecology, Department of Experimental and Clinical Medicine, University of Pisa, Pisa, Italy.
Alessandra PerutelliDivision of Obstetrics and Gynecology, Department of Experimental and Clinical Medicine, University of Pisa, Pisa, Italy.
Cesare SelliDivision of Urology, Department of Translational Research, University of Pisa, Pisa, Italy.
Piero BucciantiGeneral Surgery, Department of Surgery, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Francesco FrancescaUrology Unit, Department of Endocrinology, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Massimo CecchiGeneral Surgery Unit, Versilia Hospital, Viareggio, Italy.
Cristina ZirafaMultidisciplinary Robotic Center, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Luca BastianiInstitute of Clinical Physiology, National Council of Research, Pisa, Italy.
Alfred CuschieriInstitute for Medical Science and Technology, University of Dundee, Dundee, Scotland, UK.
Franca MelfiMultidisciplinary Robotic Center, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
University of Pisa · ITAzienda Ospedaliera Universitaria Pisana · ITIstituto di Fisiologia Clinica · ITOspedale Versilia · ITUniversity of Dundee · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe da Vinci® Table Motion (dVTM) comprises a combination of a unique operating table (Trumpf Medical™ TruSystem® 7000dV) capable of isocenter motion connected wirelessly with the da Vinci Xi® robotic platform, thereby enabling patients to be repositioned without removal of instruments and or undocking the robot. MATERIALS AND

methodsBetween May 2015 to October 2015, the first human use of dVTM was carried out in this prospective, single-arm, post-market study in the EU, for which 40 patients from general surgery (GS), urology (U), or gynecology (G) were enrolled prospectively. Primary endpoints of the study were dVTM feasibility, efficacy, and safety.

resultsSurgeons from the three specialties obtained targeting success and the required table positioning in all cases. Table movement/repositioning was necessary to gain exposure of the operating field in 106/116 table moves (91.3%), change target in 2/116 table moves (1.7%), achieve hemodynamic relief in 4/116 table moves (3.5%), and improve external access for tumor removal in 4/116 table moves (3.5%). There was a significantly higher use of tilt and tilt plus Trendelenburg in GS group (GS vs. U p = 0.055 and GS vs. G p = 0.054). There were no dVTM safety-related or adverse events.

conclusionsThe dVTM with TruSystem 7000dV operating table in wireless communication with the da Vinci Xi is a perfectly safe and effective synergistic combination, which allows repositioning of the patient whenever needed without imposing any delay in the execution of the operation. Moreover, it is helpful in avoiding extreme positions and enables the anesthesiologist to provide immediate and effective hemodynamic relief to the patient when needed.

Indexed as

Operating TablesAdolescentAdultAgedAged, 80 and overFeasibility StudiesFemaleHumansLogistic ModelsMaleMiddle AgedOutcome Assessment, Health CarePatient PositioningPatient SafetyPilot ProjectsProspective Studiesda Vinci Table Motion (dVTM)da Vinci XiRobotic surgery

Identifiers

PMID29603010
OpenAlexW2794987121

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.