Evidence map›Paper›PMID 35137646›Full record

ArticleSurgical innovation2022

Moritz Queisner, Michael Pogorzhelskiy, Christopher Remde, Johann Pratschke, Igor M Sauer

Abstract read
In one paragraph

Article in Surgical innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

5 authors.

Moritz QueisnerDepartment of Surgery, CCM|CVK, Experimental Surgery, 14903Charité - Universitätsmedizin Berlin, Germany.ORCID https://orcid.org/0000-0001-7917-9231
Michael PogorzhelskiyCluster of Excellence Image Knowledge Gestaltung. Interdisciplinary Laboratory, Berlin, Germany.
Christopher RemdeCluster of Excellence Image Knowledge Gestaltung. Interdisciplinary Laboratory, Berlin, Germany.
Johann PratschkeDepartment of Surgery, CCM|CVK, Experimental Surgery, 14903Charité - Universitätsmedizin Berlin, Germany.
Igor M SauerDepartment of Surgery, CCM|CVK, Experimental Surgery, 14903Charité - Universitätsmedizin Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgical training is primarily carried out through observation during assistance or on-site classes, by watching videos as well as by different formats of simulation. The simulation of physical presence in the operating theatre in virtual reality might complement these necessary experiences. A prerequisite is a new education concept for virtual classes that communicates the unique workflows and decision-making paths of surgical health professions (i.e. surgeons, anesthesiologists and surgical assistants) in an authentic and immersive way. For this project, media scientists, designers and surgeons worked together to develop the foundations for new ways of conveying knowledge using virtual reality in surgery. MATERIALS AND

methodA technical workflow to record and present volumetric videos of surgical interventions in a photorealistic virtual operating room was developed. Situated in the virtual reality demonstrator called

resultsDISCUSSION: Volumetric training environments allow trainees to acquire procedural knowledge before going to the operating room and could improve the efficiency and quality of the learning and training process for professional staff by communicating techniques and workflows when the possibilities of training on-site are limited.

Indexed as

Simulation TrainingVirtual RealityClinical CompetenceComputer SimulationHumansOperating Rooms3D simulationprocedural knowledgesurgical trainingVirtual realityvolumetric video

Identifiers

PMID35137646
PMCPMC9438748

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.