Evidence map›Paper›PMID 37210521›Full record

ArticleBMC anesthesiology2023

Comparison of accuracy between augmented reality/mixed reality techniques and conventional techniques for epidural anesthesia using a practice phantom model kit.

Tatsuya Hayasaka, Kazuharu Kawano, Yu Onodera, Hiroto Suzuki, Masaki Nakane, Masafumi Kanoto, Kaneyuki Kawamae

Abstract read
In one paragraph

Article in BMC anesthesiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. The use of extended reality in anesthesiology education: a scoping review.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025
    Article
  7. Evaluation of augmented reality training for a navigation device used for CT-guided needle placement.International journal of computer assisted radiology and surgery · 2024
    Article
  8. Article
  9. Article
  10. Extended Reality for Neuraxial Procedures: A Scoping Review.Journal of medical extended reality · 2024
    Article
  11. 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

7 authors.

Tatsuya HayasakaDepartment of Anesthesiology, Yamagata University Hospital, 2-2-2 Iidanishi, Yamagata City, Yamagata, 990-9585, Japan. hayasakatatsuya1101@gmail.com.ORCID 0000-0003-1508-6938
Kazuharu KawanoDepartment of Medicine, Yamagata University School of Medicine, Yamagata, Japan.
Yu OnoderaCritical Care Center, Yamagata University Hospital, Yamagata, Japan.
Hiroto SuzukiCritical Care Center, Yamagata University Hospital, Yamagata, Japan.
Masaki NakaneDepartment of Emergency and Critical Care Medicine, Yamagata University Hospital, Yamagata, Japan.
Masafumi KanotoDepartment of Radiology, Division of Diagnostic Radiology, Yamagata University Hospital, Yamagata, Japan.
Kaneyuki KawamaeDepartment of Anesthesiology, Yamagata University Hospital, 2-2-2 Iidanishi, Yamagata City, Yamagata, 990-9585, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study used an epidural anesthesia practice kit (model) to evaluate the accuracy of epidural anesthesia using standard techniques (blind) and augmented/mixed reality technology and whether visualization using augmented/mixed reality technology would facilitate epidural anesthesia.

methodsThis study was conducted at the Yamagata University Hospital (Yamagata, Japan) between February and June 2022. Thirty medical students with no experience in epidural anesthesia were randomly divided into augmented reality (-), augmented reality (+), and semi-augmented reality groups, with 10 students in each group. Epidural anesthesia was performed using the paramedian approach with an epidural anesthesia practice kit. The augmented reality (-) group performed epidural anesthesia without HoloLens2Ⓡ and the augmented reality (+) group with HoloLens2Ⓡ. The semi-augmented reality group performed epidural anesthesia without HoloLens2Ⓡ after 30 s of image construction of the spine using HoloLens2Ⓡ. The epidural space puncture point distance between the ideal insertion needle and participant's insertion needle was compared.

resultsFour medical students in the augmented reality (-), zero in the augmented reality (+), and one in the semi-augmented reality groups failed to insert the needle into the epidural space. The epidural space puncture point distance for the augmented reality (-), augmented reality (+), and semi-augmented reality groups were 8.7 (5.7-14.3) mm, 3.5 (1.8-8.0) mm (P = 0.017), and 4.9 (3.2-5.9) mm (P = 0.027), respectively; a significant difference was observed between the two groups.

conclusionsAugmented/mixed reality technology has the potential to contribute significantly to the improvement of epidural anesthesia techniques.

Indexed as

Anesthesia, EpiduralAugmented RealityEpidural SpaceHumansPuncturesSpinal PunctureAugmented Reality/Mixed realityEpidural anesthesiaEpidural Space puncture pointImage trainingTechnique Learning Tool

Identifiers

PMID37210521
PMCPMC10199582

What OpenQuestion holds

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LicenceCC BY
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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.