Evidence map›Paper›PMID 35657506›Full record

SynthesisJournal of robotic surgery2023

The current status of robotic colorectal surgery training programmes.

Deena Harji, Fergus Houston, Joshua Burke, Ben Griffiths, Henry Tilney, Danilo Miskovic, Charles Evans, Jim Khan, Naeem Soomro, Simon P Bach

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis 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 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 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

26 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Training and assessment for colorectal surgery and appendicectomy- a systematic review.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2024
    Pooled it
  5. European Society of Coloproctology guideline on training in robotic colorectal surgery (2024).Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2024
    Guideline
  6. Review
  7. Article
  8. Review
  9. Article
  10. "K" EY rules to improve learning skills in forth arm robotic platform.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2026
    Article
  11. Article
  12. Immersive robotic colorectal training in the United Kingdom is safe and efficient.Annals of the Royal College of Surgeons of England · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. ACPGBI position statement on robotic-assisted colorectal surgical training.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Deena HarjiDepartment of Colorectal Surgery, Manchester University NHS Foundation Trust, Manchester, UK. deena.harji@mft.nhs.uk.ORCID http://orcid.org/0000-0002-8493-3312
Fergus HoustonHealth Education North East, Newcastle, UK.ORCID http://orcid.org/0000-0002-9802-6035
Joshua BurkeRobotics and Digital Surgery Initiative, Royal College of Surgeons of England, London, England.ORCID http://orcid.org/0000-0003-4027-747X
Ben GriffithsDepartment of Colorectal Surgery, Manchester University NHS Foundation Trust, Manchester, UK.ORCID http://orcid.org/0000-0002-8745-1861
Henry TilneyDepartment of Colorectal Surgery, Frimley Health NHS Foundation Trust, Frimley, Surrey, England.ORCID http://orcid.org/0000-0002-8359-0282
Danilo MiskovicDepartment of Colorectal Surgery, St Mark's Hospital, London, UK.ORCID http://orcid.org/0000-0003-2386-4082
Charles EvansDepartment of Colorectal Surgery, University Hospital Coventry and Warwickshire, Coventry, UK.
Jim KhanDepartment of Colorectal Surgery, Queen Alexandra Hospital, Portsmouth Hospitals NHS Trust, Portsmouth, UK.ORCID http://orcid.org/0000-0002-3031-4495
Naeem SoomroRobotics and Digital Surgery Initiative, Royal College of Surgeons of England, London, England.ORCID http://orcid.org/0000-0002-5203-7695
Simon P BachRobotics and Digital Surgery Initiative, Royal College of Surgeons of England, London, England.ORCID http://orcid.org/0000-0001-8412-7241

Funding

Cancer Research UK 25354
6 · The paper itself

Abstract

Robotic-assisted colorectal surgery (RACS) is steadily increasing in popularity with an annual growth in the number of colorectal procedures undertaken robotically. Further upscaling of RACS requires structured and standardised robotic training to safeguard high-quality clinical outcomes. The aims of this systematic review were to assess the structure and assessment metrics of currently established RACS training programmes. A systematic review following Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines was performed. Searches were performed of the Ovid Medline, Embase and Web of Science databases between 2000 and 27th November 2021 to identify studies reporting on training curricula in RACS. Core components of training programmes and their relevant outcome assessment metrics were extracted. Thirteen studies were identified, with all training programmes designed for the da Vinci platform (Intuitive Surgical, Inc., Sunnyvale, CA, USA). Common elements of multimodal programmes included theoretical knowledge (76.9%), case observation (53.8%), simulation (100%) and proctored training (76.9%). Robotic skills acquisition was assessed primarily during the simulation phase (n = 4, 30.1%) and proctoring phase (n = 10, 76.9%). Performance metrics, consisting of time or assessment scores for VR simulation were only mandated in four (30.1%) studies. Objective assessment following proctored training was variably reported and employed a range of assessment metrics, including direct feedback (n = 3, 23.1%) or video feedback (n = 8, 61.5%). Five (38.4%) training programmes used the Global Assessment Score (GAS) forms. There is a broad consensus on the core multimodal components across current RACS training programmes; however, validated objective assessment is limited and needs to be appropriately standardised to ensure reproducible progression criteria and competency-based metrics are produced to robustly assess progression and competence.

Indexed as

Colorectal SurgeryRoboticsRobotic Surgical ProceduresSimulation TrainingClinical CompetenceCurriculumHumansCurriculumRobotic colorectal surgeryTraining

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.