Evidence map›Paper›PMID 33723316›Full record

ArticleScientific reports2021

Usefulness of virtual reality-based training to diagnose strabismus.

Hyun Sik Moon, Hyeon Jeong Yoon, Sang Woo Park, Chae Yeon Kim, Mu Seok Jeong, Sung Min Lim, Jee Heon Ryu, Hwan Heo

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. The Utility of Virtual Reality in Ophthalmology: A Review.Clinical ophthalmology (Auckland, N.Z.) · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Metaverse Wearables for Immersive Digital Healthcare: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  11. Article
  12. Review
  13. Article
  14. Article
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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

8 authors.

Hyun Sik MoonDepartment of Ophthalmology, Chonnam National University Medical School and Hospital, 42 Jebongro, Dong-gu, Gwangju, 61469, Republic of Korea.
Hyeon Jeong YoonDepartment of Ophthalmology, Chonnam National University Medical School and Hospital, 42 Jebongro, Dong-gu, Gwangju, 61469, Republic of Korea.
Sang Woo ParkDepartment of Ophthalmology, Chonnam National University Medical School and Hospital, 42 Jebongro, Dong-gu, Gwangju, 61469, Republic of Korea.
Chae Yeon KimDepartment of Education, College of Education, Chonnam National University, Gwangju, Republic of Korea.
Mu Seok JeongDepartment of Education, College of Education, Chonnam National University, Gwangju, Republic of Korea.
Sung Min LimDepartment of Education, College of Education, Chonnam National University, Gwangju, Republic of Korea.
Jee Heon RyuDepartment of Education, College of Education, Chonnam National University, Gwangju, Republic of Korea.
Hwan HeoDepartment of Ophthalmology, Chonnam National University Medical School and Hospital, 42 Jebongro, Dong-gu, Gwangju, 61469, Republic of Korea. hwanheo@jnu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To study the usefulness of virtual reality (VR)-based training for diagnosing strabismus. Fourteen residents in ophthalmology performed at least 30 VR training sessions to diagnose esotropia and exotropia. Examinations of real patients with esotropia or exotropia before and after the VR training were video-recorded and presented to a strabismus expert to assess accuracy and performance scores for measuring the deviation angle and diagnosing strabismus with anonymization. A feedback survey regarding the usefulness and ease of use of the VR application was conducted for participants. The mean age of the 14 ophthalmology residents (10 men and 4 women), was 29.7 years. Before VR training, participants showed a mean accuracy score of 14.50 ± 5.45 and a performance score of 9.64 ± 4.67 for measuring the deviation angle and diagnosing strabismus in real patients with strabismus. After VR training, they showed a significantly improved accuracy score of 22.14 ± 4.37 (p = 0.012) and a performance score of 15.50 ± 1.99 (p = 0.011). According to the survey, most participants agreed on the usefulness of VR applications. This study suggests that VR-based training improved ophthalmology residents' clinical diagnostic skills for strabismus in a short period.

Indexed as

Virtual RealityAdultEducational MeasurementFemaleHumansMaleStrabismusSurveys and Questionnaires

Identifiers

PMID33723316
PMCPMC7961051

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.