Evidence map›Paper›PMID 38214801›Full record

SynthesisJournal of robotic surgery2024

Transferring laparoscopic skills to robotic-assisted surgery: a systematic review.

Karishma Behera, Matthew McKenna, Laurie Smith, Gerard McKnight, James Horwood, Michael M Davies, Jared Torkington, James Ansell

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis 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 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. 2025 Delphi consensus on robotic ventral mesh rectopexy.International journal of colorectal disease · 2025
    Guideline
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

Karishma BeheraNHS Lothian, Waverley Gate, 2-⁠4 Waterloo Place, Edinburgh, EH1 3EG, UK.
Matthew McKennaUniversity Hospital of Wales, Heath Park, Cardiff, CF14 4XN, Wales, UK.ORCID http://orcid.org/0000-0003-1845-8741
Laurie SmithUniversity Hospital of Wales, Heath Park, Cardiff, CF14 4XN, Wales, UK.
Gerard McKnightHealth Education and Improvement Wales (HEIW), Cardiff, Wales, UK.
James HorwoodUniversity Hospital of Wales, Heath Park, Cardiff, CF14 4XN, Wales, UK.
Michael M DaviesUniversity Hospital of Wales, Heath Park, Cardiff, CF14 4XN, Wales, UK.
Jared TorkingtonUniversity Hospital of Wales, Heath Park, Cardiff, CF14 4XN, Wales, UK.
James AnsellUniversity Hospital of Wales, Heath Park, Cardiff, CF14 4XN, Wales, UK. james.ansell@wales.nhs.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic-Assisted Surgery (RAS) is experiencing rapid expansion, prompting the integration of robotic technical skills training into surgical education programs. As access to robotic training platforms remains limited, it is important to investigate the transferability of laparoscopic skills to RAS. This could potentially support the inclusion of early years laparoscopic training to mitigate the learning curve associated with robotic surgery. This study aims to assess the transferability of laparoscopic skills to robotic surgery. A systematic search was conducted using the PRISMA checklist to identify relevant articles. PubMed, MEDLINE, Embase, and Cochrane databases were searched, and inclusion and exclusion criteria were applied to collate eligible articles. Included were original articles comparing the performance of comparable tasks on both laparoscopic and robotic platforms written in English. Non-peer reviewed papers, conference abstracts, reviews, and case series were excluded. Seventeen articles met the inclusion criteria. Among these, 10 studies (59%) demonstrated skill transferability from laparoscopic surgery (LS) to robotic surgery (RS); while one study (5.8%) showed no significant transferability. Four studies highlighted the positive impact of prior laparoscopic training on robotic skill, whereas six papers suggested no significant difference between laparoscopic novices and experienced laparoscopists when utilizing a robotic simulator. Five studies evaluated advanced surgical skills such as intracorporeal knot tying and suturing, revealing superior robotic performance among experienced laparoscopists compared to novice learners. Laparoscopic skills appear to be transferrable to robotic surgery, particularly in complex surgical techniques. Robotic simulators demonstrate a significant reduction in the learning curve for surgical novices, albeit to a lesser extent for experienced laparoscopists.

Indexed as

LaparoscopyRobotic Surgical ProceduresClinical CompetenceHumansTask Performance and AnalysisLaparoscopyRobotic surgerySimulationSurgical training

Identifiers

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.