Evidence map›Paper›PMID 34826106›Full record

ArticleJournal of robotic surgery2022

Surgical trainee experience and opinion of robotic surgery in surgical training and vision for the future: a snapshot study of pan-specialty surgical trainees.

Christina A Fleming, Oroog Ali, Joshua M Clements, Johnathan Hirniak, Martin King, Helen M Mohan, Deirdre M Nally, Josh Burke, Association of Surgeons in Training (ASIT)

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of robotic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07149012 (Artificial Intelligence for Surgical Care in War-Torn Sudan), which is not on this map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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.

NCT07149012 completednot on this mapstarted 2024, after this paper: background citation

Artificial Intelligence for Surgical Care in War-Torn Sudan: Feasibility, Barriers, and Ethical Perspectives From a Conflict Zone

TypeobservationalSponsorSudan Medical Specialization BoardRan2024 to 2025Enrolled185ConditionsSurgical Procedures, Operative, Artificial Intelligence (AI), War Injury, Wounds and InjuriesArmsArtificial Intelligence Awareness and Feasibility Assessment
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  3. Pooled it
  4. Trial
  5. Article
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  8. Article
  9. Pre-Procedural Robotic Surgery Curricula: A Systematic Review and Thematic Meta-Synthesis.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Training and credentialing in robotic general surgery.International journal of colorectal disease · 2026
    Review
  14. Article
  15. Article
  16. Article
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  18. Immersive robotic colorectal training in the United Kingdom is safe and efficient.Annals of the Royal College of Surgeons of England · 2025
    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

9 authors.

Christina A FlemingAssociation of Surgeon in Training Council, London, UK. christina.fleming49@gmail.com.ORCID http://orcid.org/0000-0003-2326-2655
Oroog AliAssociation of Surgeon in Training Council, London, UK.
Joshua M ClementsAssociation of Surgeon in Training Council, London, UK.
Johnathan HirniakAssociation of Surgeon in Training Council, London, UK.
Martin KingAssociation of Surgeon in Training Council, London, UK.
Helen M MohanAssociation of Surgeon in Training Council, London, UK.
Deirdre M NallyAssociation of Surgeon in Training Council, London, UK.
Josh BurkeAssociation of Surgeon in Training Council, London, UK.
Association of Surgeons in Training (ASIT)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic surgery is well established across multiple surgical specialities in the United Kingdom (UK) and Republic of Ireland (ROI). We aimed to elucidate current surgical trainee experience of and attitudes to robotic surgery in a surgical training programme across the UK and ROI to determine the future role of robotic surgery in international surgical training programmes. Methods: A pan-specialty trainee cross-sectional study was performed on behalf of the Association of Surgeons in Training (ASiT) using mixed-methodology. Round 1: a digital questionnaire was disseminated to all ASiT members. Round 2: 'live-polling' was performed prior to and following the Robotic Surgery plenary session convened at the ASiT 2020 International Conference (Birmingham). Data analysis was performed using a combination of quantitative and qualitative methods.

resultsThree hundred and four responses were analysed (n = 244 digital questionnaire, n = 60 live-polling). Overall, 73.8% (n = 180) of trainees would value greater access to robotic surgery training. 73.4% (n = 179) believed that robotic surgery was important for the future of their desired specialty and 77.2% (n = 156) believed it should be incorporated into formal surgical training. Qualitative analysis identified that trainees believe that robotic training should have a formal role in surgical training. Perceived disadvantages of robotic surgery experience in surgical training included expense and the current impact of consultant robotic learning curves on training.

conclusionCurrent surgical trainees desire greater access to robotic surgery in surgical training. Robotic surgery is developing an increasing role in current surgical practice and it is important that it is introduced in a timely, evidence-based fashion to surgical trainees at an appropriate stage of training.

Indexed as

Robotic Surgical ProceduresSurgeonsAttitudeClinical CompetenceCross-Sectional StudiesHumansSurveys and QuestionnairesRoboticsRobotic surgerySurgical training

Identifiers

PMID34826106
PMCPMC8616984

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.