Evidence map›Paper›PMID 33845025›Full record

ArticleAmerican journal of ophthalmology2021

Classification Criteria For Multiple Evanescent White Dot Syndrome.

Standardization of Uveitis Nomenclature (SUN) Working Group

Abstract read
In one paragraph

Article in American journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
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  8. Observational
  9. Review
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  15. The standardisation of uveitis nomenclature (SUN) project.Clinical & experimental ophthalmology · 2022
    Review
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  19. [Development of classification criteria for uveitis by the standardization of uveitis nomenclature (SUN) working group].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021
    Review
  20. Development of Classification Criteria for the Uveitides.American journal of ophthalmology · 2021
    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

1 author.

Standardization of Uveitis Nomenclature (SUN) Working Group

Funding

DEVELOPING CLASSIFICATION CRITERIA FOR THE UVEITIDESR01EY026593 · NEI · JOHNS HOPKINS UNIVERSITY · PI JABS, DOUGLAS A · 2016 to 2019
$1.5M
NEI NIH HHS R01 EY026593
6 · The paper itself

Abstract

purposeThe purpose of this study was to determine classification criteria for multiple evanescent white dot syndrome (MEWDS).

designMachine learning of cases with MEWDS and 8 other posterior uveitides.

methodsCases of posterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on diagnosis using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used in the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the infectious posterior, or panuveitides. The resulting criteria were evaluated in the validation set.

resultsA total of 1,068 cases of posterior uveitides, including 51 cases of MEWDS, were evaluated by machine learning. Key criteria for MEWDS included: 1) multifocal gray-white chorioretinal spots with foveal granularity; 2) characteristic imaging on fluorescein angiography ("wreath-like" hyperfluorescent lesions) and/or optical coherence tomography (hyper-reflective lesions extending from retinal pigment epithelium through ellipsoid zone into the retinal outer nuclear layer); and 3) absent to mild anterior chamber and vitreous inflammation. Overall accuracy for posterior uveitides was 93.9% in the training set and 98.0% (95% confidence interval: 94.3-99.3) in the validation set. Misclassification rates for MEWDS were 7% in the training set and 0% in the validation set.

conclusionsThe criteria for MEWDS had a low misclassification rate and appeared to perform sufficiently well for use in clinical and translational research.

Indexed as

Multimodal ImagingAdultFemaleFluorescein AngiographyFundus OculiHumansMaleRetinal Pigment EpitheliumTomography, Optical CoherenceWhite Dot SyndromesYoung Adult

Identifiers

PMID33845025
PMCPMC8594763

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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.