Evidence map›Paper›PMID 38340240›Full record

ArticleJournal of robotic surgery2024

Design and evaluation of a smart passive dynamic arm support for robotic-assisted laparoscopic surgery.

Pim Schrijvershof, A Masie Rahimi, Nicola Leone, EAES TC Robotics, Alexander Bloemendaal, Freek Daams, Alberto Arezzo, Yoav Mintz, Tim Horeman

Open access · hybridAbstract read
In one paragraph

Article in Journal of robotic surgery, 2024. 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
1.1field-weighted citation impact, top 25% 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, 2 citations in OpenAlex.

  1. Trial
  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

9 authors at 6 institutions in 3 countries.

Pim Schrijvershof *Department of Biomechanical Engineering, Technical University of Delft, Delft, The Netherlands.
A Masie Rahimi *Department of Surgery, Amsterdam UMC - VU University Medical Center, Amsterdam, The Netherlands. a.rahimi@amsterdamumc.nl.
Nicola LeoneDepartment of Surgical Sciences, University of Torino, Torino, Italy.
EAES TC Robotics
Alexander BloemendaalReinier de Graaf Hospital, Delft, The Netherlands.
Freek DaamsDepartment of Surgery, Amsterdam UMC - VU University Medical Center, Amsterdam, The Netherlands.
Alberto ArezzoDepartment of Surgical Sciences, University of Torino, Torino, Italy.
Yoav MintzDepartment of General Surgery, Hadassah Hebrew-University Medical Center, Jerusalem, Israel.
Tim HoremanDepartment of Biomechanical Engineering, Technical University of Delft, Delft, The Netherlands.
Delft University of Technology · NLHadassah Medical Center · ILReinier de Graaf Hospital · NLCancer Center Amsterdam · NLDutch Cancer Society · NLUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgeons performing robotic-assisted laparoscopic surgery experience physical stress and overuse of shoulder muscles due to sub-optimal arm support during surgery. The objective is to present a novel design and prototype of a dynamic arm support for robotic laparoscopic surgery to evaluate its ergonomics and performance on the AdLap-VR simulation training device. The prototype was designed using the mechanical engineering design process: Technical requirements, concept creation, concept selection, 3D-design and built of the prototype. A crossover study was performed on a marble sorting task on the AdLap-VR. The first group performed four trials without the arm support, followed by four trials with the arm support, and the other group executed the sequence vice versa. The performance parameters used were time to complete (s), path length (mm), and the number of collisions. Afterward, the participants filled out a questionnaire on the ergonomic experience regarding both situations. 20 students executed 160 performed trials on the AdLap-VR Significant decreases in the subjective comfort parameters mental demand, physical demand, effort and frustration were observed as a result of introducing the novel arm support. Significant decreases in the objective performance parameters path length and the number of collisions were also observed during the tests. The newly developed dynamic arm support was found to improve comfort and enhance performance through increased stability on the robotic surgery skills simulator AdLap-VR.

Indexed as

LaparoscopyRobotic Surgical ProceduresArmClinical CompetenceCross-Over StudiesHumansArm supportErgonomicsFatigueLaparoscopyRASRobotic surgery

Identifiers

PMID38340240
PMCPMC10858817
OpenAlexW4391722075

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.