Evidence map›Paper›PMID 28942572›Full record

ReviewCurrent urology reports2017

Learning Curves for Robotic Surgery: a Review of the Recent Literature.

Giorgio Mazzon, Ashwin Sridhar, Gerald Busuttil, James Thompson, Senthil Nathan, Tim Briggs, John Kelly, Greg Shaw

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

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  16. ARTIS Pheno®: a potential tool for cochlear implant surgery.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
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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

8 authors.

Giorgio MazzonInstitute of Urology, University College Hospital, London, UK. Giorgio.mazzon@uclh.nhs.uk.
Ashwin SridharInstitute of Urology, University College Hospital, London, UK.
Gerald BusuttilInstitute of Urology, University College Hospital, London, UK.
James ThompsonInstitute of Urology, University College Hospital, London, UK.
Senthil NathanInstitute of Urology, University College Hospital, London, UK.
Tim BriggsInstitute of Urology, University College Hospital, London, UK.
John KellyInstitute of Urology, University College Hospital, London, UK.
Greg ShawInstitute of Urology, University College Hospital, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Use of robot-assisted surgery is increasing since its advent in the 1990s. Robotic surgical training is the subject of much interest. Robotic technology would seem to facilitate training allowing more rapid attainment of competence. The safety and success of a particular surgical team depends on adequacy of training of its members. A learning curve is a way of describing the changes observed in surgical outcomes with increasing experience of the surgeon and can be used to plan training programs. The majority of published papers regarding learning curves are retrospective with small numbers of surgeons with different levels of experience comparing a variety of different outcomes. In this review, we describe the published literature on learning curves in robotic urological surgery, with the aim of offering a guide to both experienced and naïve surgeons who plan to learn new robotic procedure.

Indexed as

Learning CurveCystectomyHumansNephrectomyRetrospective StudiesRobotic Surgical ProceduresSimulation TrainingVirtual RealityRobotic surgeryRobotic surgical trainingUrosurgery

Identifiers

PMID28942572

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.