Evidence map›Paper›PMID 32203241›Full record

SynthesisEye (London, England)2020

A systematic review of simulation-based training tools for technical and non-technical skills in ophthalmology.

Roxanne Lee, Nicholas Raison, Wai Yan Lau, Abdullatif Aydin, Prokar Dasgupta, Kamran Ahmed, Shreya Haldar

Abstract readSystematic Review
In one paragraph

Synthesis in Eye (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

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

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  12. Objective structured assessment of posterior capsular rupture management.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Roxanne LeeGKT School of Medical Education, King's College London, London, UK.
Nicholas RaisonMRC Centre for Transplantation, King's College London, London, UK.ORCID http://orcid.org/0000-0003-0496-4985
Wai Yan LauSchool of Medicine, St George's, University of London, London, UK.
Abdullatif AydinMRC Centre for Transplantation, King's College London, London, UK.
Prokar DasguptaMRC Centre for Transplantation, King's College London, London, UK.
Kamran AhmedMRC Centre for Transplantation, King's College London, London, UK.
Shreya HaldarDepartment of Ophthalmology, Stoke Mandeville Hospital, Aylesbury, UK. miss.shreyahaldar@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate all simulation models for ophthalmology technical and non-technical skills training and the strength of evidence to support their validity and effectiveness. A systematic search was performed using PubMed and Embase for studies published from inception to 01/07/2019. Studies were analysed according to the training modality: virtual reality; wet-lab; dry-lab models; e-learning. The educational impact of studies was evaluated using Messick's validity framework and McGaghie's model of translational outcomes for evaluating effectiveness. One hundred and thirty-one studies were included in this review, with 93 different simulators described. Fifty-three studies were based on virtual reality tools; 47 on wet-lab models; 26 on dry-lab models; 5 on e-learning. Only two studies provided evidence for all five sources of validity assessment. Models with the strongest validity evidence were the Eyesi Surgical, Eyesi Direct Ophthalmoscope and Eye Surgical Skills Assessment Test. Effectiveness ratings for simulator models were mostly limited to level 2 (contained effects) with the exception of the Sophocle vitreoretinal surgery simulator, which was shown at level 3 (downstream effects), and the Eyesi at level 5 (target effects) for cataract surgery. A wide range of models have been described but only the Eyesi has undergone comprehensive investigation. The main weakness is in the poor quality of study design, with a predominance of descriptive reports showing limited validity evidence and few studies investigating the effects of simulation training on patient outcomes. More robust research is needed to enable effective implementation of simulation tools into current training curriculums.

Indexed as

OphthalmologySimulation TrainingVirtual RealityClinical CompetenceComputer SimulationHumans

Identifiers

PMID32203241
PMCPMC7609318

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.