Evidence map›Paper›PMID 42675476›Full record

ArticleBMC medical education2026

Teaching ophthalmic microsurgical skills: conventional microscopy versus heads-up visualization.

Franziska Eckardt, Maximilian -Joachim Gerhardt, Siegfried Priglinger

Abstract readComparative Study
In one paragraph

Article 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.

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1 · What the graph read from it

What it found

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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

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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

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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.

Franziska EckardtDepartment of Ophthalmology, LMU University Hospital, LMU Munich, Munich, Germany. Franziska.eckardt@med.uni-muenchen.de.ORCID http://orcid.org/0000-0001-5883-2529
Maximilian -Joachim GerhardtDepartment of Ophthalmology, LMU University Hospital, LMU Munich, Munich, Germany.
Siegfried PriglingerDepartment of Ophthalmology, LMU University Hospital, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo compare training effects between conventional operating microscope and a3D heads-up system using the EyeSi

methodsIn a prospective single-center crossover study, 16 medical students with ophthalmological exposure and 16 residents completed standardized cataract and vitrectomy modules on the EyeSi

resultsIn the vitrectomy simulation, no significant difference in scores was found between visualization systems (p = 0.126), whereas in the cataract simulation, the conventional microscope achieved significantly higher scores (p = 0.023). The overall task scores did not differ significantly (p = 0.376). Subjectively, the 3D system was rated superior regarding control (p = 0.013), instrument handling (p = 0.033), movement precision (p < 0.001), comfort, and instructor interaction (p < 0.001). Students tended to prefer the 3D system, whereas residents more often preferred the conventional microscope, although this difference was not statistically significant (p = 0.183). All participants reported that skills acquired with the 3D system could be perceived transferability to the conventional microscope.

conclusionThe 3D display achieved comparable simulator performance in the vitrectomy module but lower performance in the cataract module compared with the conventional microscope, while offering perceived didactic and ergonomic advantages. The differing preferences between students and residents may suggest a possible habituation effect due to prior slit-lamp use and familiarity with conventional visualization techniques. As digital visualization systems are becoming increasingly integrated into contemporary ophthalmic surgery, early exposure to heads-up technology during simulator-based training may help familiarize trainees with modern visualization techniques. Future clinical studies are required to determine whether these simulator-based findings translate into improved operative performance.

Indexed as

Cataract ExtractionClinical CompetenceMicroscopyMicrosurgeryOphthalmologySimulation TrainingVitrectomyAdultCross-Over StudiesFemaleHumansImaging, Three-DimensionalInternship and ResidencyMaleProspective StudiesStudents, MedicalCataractOphthalmologyRetinaThree-dimensional surgery

Identifiers

PMID42675476
PMCPMC13528084

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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.