Evidence map›Paper›PMID 37501111›Full record

ReviewBMC medical education2023

Video-assisted thoracoscopic surgery simulation and training: a comprehensive literature review.

Sarah Grossi, Maria Cattoni, Nicola Rotolo, Andrea Imperatori

Open access · goldAbstract readReview
In one paragraph

Review in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
10.2field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Artificial intelligence in respiratory medicine: From diagnosis to treatment and future directions.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  10. Virtual Reality: Applications in Veterinary Science.Veterinary medicine and science · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. 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

4 authors at 1 institution in 1 country.

Sarah GrossiCenter for Thoracic Surgery, Department of Medicine and Surgery, University of Insubria, Via Guicciardini, 9, Varese, 21100, Italy. sarah.grossi89@gmail.com.
Maria CattoniCenter for Thoracic Surgery, Department of Medicine and Surgery, University of Insubria, Via Guicciardini, 9, Varese, 21100, Italy.
Nicola RotoloCenter for Thoracic Surgery, Department of Medicine and Surgery, University of Insubria, Via Guicciardini, 9, Varese, 21100, Italy.
Andrea ImperatoriCenter for Thoracic Surgery, Department of Medicine and Surgery, University of Insubria, Via Guicciardini, 9, Varese, 21100, Italy.
University of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVideo-assisted thoracic surgery (VATS) has become the standard for lung cancer diagnosis and treatment. However, this surgical technique requires specific and dedicated training. In the past 20 years, several simulator systems have been developed to promote VATS training. Advances in virtual reality may facilitate its integration into the VATS training curriculum. The present review aims to first provide a comprehensive overview of the simulators for thoracoscopic surgery, focused especially on simulators for lung lobectomy; second, it explores the role and highlights the possible efficacy of these simulators in the surgical trainee curriculum.

methodsA literature search was conducted in the PubMed, EMBASE, Science Direct, Scopus and Web of Science databases using the following keywords combined with Boolean operators "AND" and "OR": virtual reality, VR, augmented reality, virtual simulation, mixed reality, extended reality, thoracic surgery, thoracoscopy, VATS, video-assisted thoracoscopic surgery, simulation, simulator, simulators, training, and education. Reference lists of the identified articles were hand-searched for additional relevant articles to be included in this review.

resultsDifferent types of simulators have been used for VATS training: synthetic lung models (dry simulators); live animals or animal tissues (wet simulators); and simulators based on virtual or augmented reality. Their role in surgical training has been generally defined as useful. However, not enough data are available to ascertain which type is the most appropriate.

conclusionsSimulator application in the field of medical education could revolutionize the regular surgical training curriculum. Further studies are required to better define their impact on surgeons' training programs and, finally, on patients' quality of care.

Indexed as

Augmented RealityRobotic Surgical ProceduresSimulation TrainingVirtual RealityAnimalsClinical CompetenceComputer SimulationThoracic Surgery, Video-AssistedCurriculum.SimulatorsTrainingVATSVideo-assisted thoracic surgery

Identifiers

PMID37501111
PMCPMC10375656
OpenAlexW4385303966

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.