Evidence map›Paper›PMID 39691458›Full record

ArticleDigital health

Accuracy of virtual reality in automated measurement and diagnosis of strabismus.

Yu-Meng Wang, Jiawen Liu, Wei-Wei Chen, Mei-Xia Jiang, Jing Fu

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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.

Yu-Meng WangBeijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0000-4163-2635
Jiawen LiuWilmer Eye Institute, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Wei-Wei ChenBeijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Capital Medical University, Beijing, China.
Mei-Xia JiangBeijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Capital Medical University, Beijing, China.
Jing FuBeijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To explore the accuracy of VR technology for strabismus screening. Methods: In this cross-sectional study, a total of 191 subjects were included. Examinations included VR technology based on infrared, the cover-uncover test, and the prism alternating cover test (PACT) at various gaze positions, specifically at distances of 33 cm and 6 m. The accuracy of VR in diagnosing strabismus and quantifying the degree of strabismus was evaluated by comparing the VR results to the average outcomes of manual examinations conducted by the two physicians, considered the gold standard. Results: A total of 88 healthy individuals, 81 exotropia patients, 17 esotropia patients, and five vertical strabismus patients were included in this study, and each subject was screened for less than 2 min. The sensitivity of VR for screening strabismus was 80.3% and the specificity was 80%, displaying moderately consistent with the manual results (Kappa = 0.598, Conclusions: This novel technique for strabismus screening, which utilizes virtual reality technology, enables quick, precise, and straightforward diagnosis of strabismus. It has also shown notable efficacy in accurately measuring the angle of deviation in cases of exotropia.

Indexed as

cover testspupil trackingstrabismusVirtual reality

Identifiers

PMID39691458
PMCPMC11650622

What OpenQuestion holds

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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.