Evidence map›Paper›PMID 37269493›Full record

Observational studyJournal of robotic surgery2023

Exploring the use of driving simulation to improve robotic surgery simulator training: an observational case-control study.

Ziyan Chen, Yu Xuan Zheng, Jacques Hubert, Lingxiao Jiang, Kun Yang, XingHuan Wang

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of robotic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 countries.

Ziyan Chen *Department of Urology, ZhongNan Hospital, Wuhan University, No. 169 Donghu Road, Wuhan, 430071, Hubei, China.
Yu Xuan Zheng *University of Electronic Science and Technology of China, Chengdu, China.
Jacques HubertDepartment of Urology, CHU Nancy, Nancy, France.
Lingxiao JiangDepartment of Urology, ZhongNan Hospital, Wuhan University, No. 169 Donghu Road, Wuhan, 430071, Hubei, China.
Kun Yang *Department of Urology, ZhongNan Hospital, Wuhan University, No. 169 Donghu Road, Wuhan, 430071, Hubei, China. jesuisking198411@hotmail.com.
XingHuan Wang *Department of Urology, ZhongNan Hospital, Wuhan University, No. 169 Donghu Road, Wuhan, 430071, Hubei, China. Wangxinghuan1966@hotmail.com.
Wuhan University · CNInserm · FRUniversity of Electronic Science and Technology of China · CN

Funding

Provincial Teaching and Research Project of Colleges and Universities in Hubei Province Grant No. 2022013Zhongnan Hospital of Wuhan University Science, Technology and Innovation Seed Fund Grant No. znpy2019003
6 · The paper itself

Abstract

The correlation between driving skills and the ability to perform robotic surgery have not yet been discussed. Therefore, this study aimed to investigate the impact of driving skills on learning robotic surgery using a driving simulator and a robotic simulator. Sixty robot- and simulator-naïve participants were recruited: 30 with a driver's license and 30 without a driver's license. All participants completed a test on the driving simulator and learned four tasks using a robotic surgical simulator (dV-Trainer). On the driving simulator, the lap time in the driver's license group (D-Group) was significantly lower than that in the non-driver's license group (ND-Group) [217.93 ± 42.79 s vs. 271.24 ± 46.63 s, P < 0.001]. The average number of tires off track in the D-Group was lower than that in the ND-Group (0.13 ± 0.35 vs. 0.57 ± 0.63, P = 0.002). The baseline score of the D-Group on the robotic simulator was higher than that of the ND-Group (467.53 ± 107.62 vs. 385.53 ± 136.30, P = 0.022). In the Pick-and-Place-Clutching, Peg-Board-2, and Thread-the-Rings-1 tasks, the learning curve of the D-Group was steeper than that of the ND-Group. However, no significant difference was observed in the Match-Board-2 task. According to the lap time ranking, participants in the top tertile had a steeper learning curve than those in the bottom tertile, especially for the Pick-and-Place-Clutching and Peg-Board-2 tasks (P < 0.05). Significant differences were also found in the baseline and final stages of the Thread-the-Rings-1 task and in the initial stage of the Match-Board-2 task (P < 0.05). Students with a driver's license or better performance in racing games had more success in learning robotic surgery. Driving simulators may promote robotic surgery training.

Indexed as

RoboticsRobotic Surgical ProceduresSimulation TrainingClinical CompetenceComputer SimulationHumansSoftwareDriver’s licenseDriving abilityDriving simulatorRobotic surgerySurgery simulationTraining

Identifiers

PMID37269493
OpenAlexW4379209570

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.