Evidence map›Paper›PMID 41742180›Full record

SynthesisBMC medical education2026

Computer-based surgical skill training: a systematic review.

Lars Andreas Morsund, Shraddha Singh, Agastya Patel, Francesco Lancellotti, Thomas Satyadas

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Lars Andreas Morsund *Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland. Lars.a.morsund@gmail.com.
Shraddha Singh *1st Department of Cardiology, Medical University of Gdańsk, Gdańsk, Poland.
Agastya PatelFirst Doctoral School, Medical University of Gdańsk, Gdańsk, Poland.
Francesco LancellottiDepartment of Hepato-Pancreatic and Biliary Surgery, Manchester Royal Infirmary, Manchester, UK.
Thomas SatyadasDepartment of Hepato-Pancreatic and Biliary Surgery, Manchester Royal Infirmary, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputer-based learning (CBL) has emerged as a transformative approach in surgical education, with remote teaching (RT) and self-directed virtual teaching (SDVT) offering scalable and, flexible alternatives to traditional face-to-face instruction. This systematic review aims to qualitatively analyse the current evidence on RT and SDVT for surgical skill training.

methodsIn July 2023, we conducted a structured search of PubMed, Cochrane Library, Scopus, and Web of Science. To enable a clear evaluation of CBL, particularly by examining retained knowledge, we included only randomized controlled trials (RCT) and prospective cohort studies. Data extraction followed a pretested Excel form, and qualitative synthesis adhered to PRISMA principles.

resultsTwenty seven studies (15 RCTs, 12 prospective cohorts) published between 2006 and 2023 met the inclusion criteria. Despite the heterogenicity of the included studies, key findings show that students completed RT achieved competency outcomes equivalent to traditional learning for basic suturing, knot-tying, and fundamental laparoscopic skills in most of the studies. SDVT matched traditional learning for basic tasks but underperformed in complex procedures. Hybrid models combining SDVT with real-time feedback enhanced learner autonomy, engagement and skill retention. Lastly, CBL modalities were well received by trainees, offering time- and cost advantages, as well as providing a teaching platform for low- and middle-income countries.

conclusionsCBL, through RT and SDVT, provides an effective adjunct to traditional surgical training, particularly for foundational technical skills. Integrating the flexibility of SDVT with synchronous feedback during RT can optimize psychomotor learning while maintaining instructional oversight. Future research should standardize outcome measures, assess long-term skill retention, and explore implementation in resource-limited settings.

Indexed as

Clinical CompetenceComputer-Assisted InstructionGeneral SurgeryHumansComputer-based learningEducationRemote teachingSelf-directed learnerSurgical training

Identifiers

PMID41742180
PMCPMC12937546

What OpenQuestion holds

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LicenceCC BY
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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.