Evidence map›Paper›PMID 34982094›Full record

ArticleTranslational vision science & technology2022

OCT Assisted Quantification of Vitreous Inflammation in Uveitis.

Xiaoxuan Liu, Aditya U Kale, Giovanni Ometto, Giovanni Montesano, Alice J Sitch, Nicholas Capewell, Charlotte Radovanovic, Nicholas Bucknall, Nicholas A V Beare, David J Moore and 3 more

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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

13 authors at 6 institutions in 1 country.

Xiaoxuan LiuAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, UK.
Aditya U KaleAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, UK.
Giovanni OmettoOptometry and Visual Sciences, City, University of London, London, United Kingdom.
Giovanni MontesanoOptometry and Visual Sciences, City, University of London, London, United Kingdom.
Alice J SitchNIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, UK.
Nicholas CapewellAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, UK.
Charlotte RadovanovicAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, UK.
Nicholas BucknallPatient Involvement Group in Uveitis, Birmingham, UK.
Nicholas A V BeareDepartment of Eye and Vision Science, University of Liverpool, UK.
David J MooreInstitute of Applied Health Research, University of Birmingham, UK.
Pearse A KeaneMoorfields Eye Hospital NHS Foundation Trust, London, UK.
David P CrabbOptometry and Visual Sciences, City, University of London, London, United Kingdom.
Alastair K DennistonAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, UK.
City, University of London · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBHealth Data Research UK · GBUniversity of Birmingham · GBUniversity College London · GBUniversity of Liverpool · GB

Funding

Medical Research Council MC_PC_19005Medical Research Council MR/T019050/1Wellcome TrustWellcome Trust 200141/Z/15/Z
6 · The paper itself

Abstract

Purpose: Vitreous haze (VH) is a key marker of inflammation in uveitis but limited by its subjectivity. Optical coherence tomography (OCT) has potential as an objective, noninvasive method for quantifying VH. We test the hypotheses that OCT can reliably quantify VH and the measurement is associated with slit-lamp based grading of VH. Methods: In this prospective study, participants underwent three repeated OCT macular scans to evaluate the within-eye reliability of the OCT vitreous intensity (VI). Association between OCT VI and clinical findings (including VH grade, phakic status, visual acuity [VA], anterior chamber cells, and macular thickness) were assessed. Results: One hundred nineteen participants were included (41 healthy participants, 32 patients with uveitis without VH, and 46 patients with uveitis with VH). Within-eye test reliability of OCT VI was high in healthy eyes and in all grades of VH (intraclass correlation coefficient [ICC] > 0.79). Average OCT VI was significantly different between healthy eyes and uveitic eyes without and uveitic eyes with VH, and was associated with increasing clinical VH grade (P < 0.05). OCT VI was significantly associated with VA, whereas clinical VH grading was not. Cataract was also associated with higher OCT VI (P = 0.03). Conclusions: OCT VI is a fast, noninvasive, objective, and automated method for measuring vitreous inflammation. It is associated with clinician grading of vitreous inflammation and VA, however, it can be affected by media opacities. Translational Relevance: OCT imaging for quantifying vitreous inflammation shows high within-eye repeatability and is associated with clinical grading of vitreous haze. OCT measurements are also associated with visual acuity but may be affected by structures anterior to the acquisition window, such as lens opacity and other anterior segment changes.

Indexed as

Tomography, Optical CoherenceUveitisHumansInflammationProspective StudiesReproducibility of Results

Identifiers

PMID34982094
PMCPMC8742534
OpenAlexW4206044360

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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.