Evidence map›Paper›PMID 36324049›Full record

ArticleJournal of robotic surgery2023

Transferability of robotic console skills by early robotic surgeons: a multi-platform crossover trial of simulation training.

Kirsten M Larkins, Helen M Mohan, Matthew Gray, Daniel M Costello, Anthony J Costello, Alexander G Heriot, Satish K Warrier

Abstract readAdaptive Clinical Trial
In one paragraph

Article 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 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Training and credentialing in robotic general surgery.International journal of colorectal disease · 2026
    Review
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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

7 authors.

Kirsten M LarkinsPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia. kirstenmlarkins@gmail.com.
Helen M MohanPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Matthew GrayInternational Medical Robotics Academy, North Melbourne, Victoria, Australia.
Daniel M CostelloInternational Medical Robotics Academy, North Melbourne, Victoria, Australia.
Anthony J CostelloInternational Medical Robotics Academy, North Melbourne, Victoria, Australia.
Alexander G HeriotPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Satish K WarrierPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.

Funding

Australian Government Professional practice research training scholarship
6 · The paper itself

Abstract

Robotic surgical training is undergoing a period of transition now that new robotic operating platforms are entering clinical practice. As this occurs, training will need to be adapted to include strategies to train across various consoles. These new consoles differ in multiple ways, with some new vendors using flat screen open source 3D enhanced vision with glasses and differences in design will require surgeons to learn new skills. This process has parallels with aviation credentialling across different aircraft described as type rating. This study was designed to test the hypothesis that technical robotic console operating skills are transferrable across different robotic operating platforms. Ten participants sequentially completed four Mimic

Indexed as

RoboticsRobotic Surgical ProceduresSimulation TrainingSurgeonsClinical CompetenceComputer SimulationCross-Over StudiesHumansRobotic surgerySkills trainingSurgical educationSurgical innovation

Identifiers

PMID36324049
PMCPMC10209232

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.