Evidence map›Paper›PMID 41387844›Full record

SynthesisBMC surgery2025

Efficacy of robot-assisted surgical training in medical education: a systematic review and meta-analysis of randomized controlled trials.

Carlos M Ardila, Anny M Vivares-Builes, Daniel González-Arroyave

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC surgery, 2025. 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

3 authors.

Carlos M ArdilaSaveetha Dental College, and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Saveetha, 600077, India. martin.ardila@udea.edu.co.
Anny M Vivares-BuilesBasic Sciences Department, Biomedical Stomatology Research Group, Faculty of Dentistry, Universidad de Antioquia U de A, Medellín, 050010, Colombia.
Daniel González-ArroyaveDepartment of Surgery, Faculty of Medicine, Pontificia Universidad Bolivariana, Medellín, 050031, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic-assisted surgical training (RAST) has become an increasingly common element of medical education. This systematic review and meta-analysis set out to determine how RAST influences key training outcomes, including technical performance, efficiency, error reduction, cognitive workload, and skill retention in medical trainees.

methodsA comprehensive search was conducted through July 2025 to identify randomized controlled trials (RCTs) comparing RAST with conventional training methods. Eligible interventions included robotic simulators, dual-console systems, and remote robotic platforms. Certainty of evidence was graded using the GRADE framework. Where possible, pooled analyses were performed with random-effects models.

resultsTwenty-three RCTs involving 1,199 participants were included. Technical performance emerged as the most consistently reported outcome. Eleven trials demonstrated clear advantages for RAST, with higher scores on standardized assessments of surgical skills. A pooled random-effects meta-analysis using REML with Hartung-Knapp adjustment confirmed a significant benefit (SMD = 0.71; 95% CI: 0.21-1.22; τ² = 0.04; I² = 20%), with a wide 95% prediction interval (- 0.15 to 1.58) reflecting expected variability across future training settings and representing high-certainty evidence. A sensitivity analysis restricted to resident-level participants demonstrated effects in the same direction, supporting the applicability of these findings beyond novice learners. Improvements were observed across multiple domains, including suturing accuracy, knot tying, and overall procedural coordination. Six studies examined task completion times, and although incomplete variance data limited pooling, most reported faster execution with robotic platforms, pointing to efficiency gains. Five trials investigated error rates, with several showing fewer instrument collisions, dropped objects, and intraoperative mistakes in robotic groups. A meta-analysis of two studies yielded a pooled mean difference of - 7.82 errors (95% CI: -23.07 to 7.44), favoring RAST although not statistically significant. Three studies evaluated cognitive workload, consistently reporting reduced mental and physical strain with RAST. Finally, two studies assessed retention: skills were largely maintained at three months when reinforced, but measurable declines were evident by six months without continued practice.

conclusionsRAST offers high-certainty improvements in technical performance and shows encouraging, although more variable, benefits for efficiency, error reduction, workload, and retention. These findings support incorporating robotic platforms into surgical training curricula.

trial registrationPROSPERO CRD420251072912.

Indexed as

Education, MedicalRobotic Surgical ProceduresClinical CompetenceHumansRandomized Controlled Trials as TopicMedical educationRandomized controlled trials.Robot-assisted surgerySimulation-based learningSurgical training

Identifiers

PMID41387844
PMCPMC12817748

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.