Evidence map›Paper›PMID 34055276›Full record

ArticleJournal of healthcare engineering2021

Ultrasound Biomicroscopy Diagnosis Analysis and Fine Care of Anterior Segment Injury of Traumatic Anterior Chamber Based on Intelligent Virtual Reality Technology.

Xiaoli Li

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Xiaoli LiDepartment of Ophthalmology, Linqu People's Hospital, Weifang 262600, Shandong, China.ORCID 0000-0002-1296-7652
Weifang People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The front part of the eye is exposed to the surface of the body, making it susceptible to injury. Blunt eye injuries often destroy the tissue structure in the anterior part of the eye. Often there is detachment of the iris root, separation of the ciliary body, the angle of retraction of the chamber, and complete dislocation or subluxation of the lens. Ordinary ocular ultrasound can penetrate into opaque tissue, but because of its low resolution, it can only show its outline, which is still very small for doctors in assisting diagnosis. Ultrasonic biomicroscopy is a very real-time analysis, will not be affected by the refraction space, and has great application value for ocular trauma. Based on this, this article proposes the ultrasound biomicroscope diagnosis analysis and fine nursing research of traumatic anterior chamber injury based on intelligent virtual reality technology. This article describes literature methods, experimental analysis methods, and other methods, in-depth study of the causes of traumatic anterior injuries, ultrasound biomicroscopy, and other theoretical knowledge, ultrasound biomicroscopy and microcontrol experiments for traumatic anterior injury design, and finally the causes of eye damage. This study compares the pairing results of ultrasound biomicroscopy biological measurements, analyzes the relationship between anterior bleeding level and anterior ocular injury, and analyzes the outcome and extent of service ophthalmology. The angle retreat accounted for 52.17% in grade I, 72.22% in grade II, and 60% in grade III. Anterior bleeding can cause single or complex iris root detachment, iris root detachment, ciliary body detachment, and angular leakage. The more the bleeding, the more serious the eye damage.

Indexed as

Eye InjuriesVirtual RealityAnterior ChamberCiliary BodyHumansMicroscopy, AcousticTechnology

Identifiers

PMID34055276
PMCPMC8133863
OpenAlexW3162910252

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.