Evidence map›Paper›PMID 33845002›Full record

ArticleAmerican journal of ophthalmology2021

Classification Criteria for Toxoplasmic Retinitis.

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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

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  16. The standardisation of uveitis nomenclature (SUN) project.Clinical & experimental ophthalmology · 2022
    Review
  17. [Development of classification criteria for uveitis by the standardization of uveitis nomenclature (SUN) working group].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021
    Review
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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

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

purposeTo determine classification criteria for toxoplasmic retinitis.

designMachine learning of cases with toxoplasmic retinitis and 4 other infectious posterior uveitides / panuveitides.

methodsCases of infectious posterior uveitides / panuveitides 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 on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the infectious posterior uveitides / panuveitides. The resulting criteria were evaluated on the validation set.

resultsEight hundred three cases of infectious posterior uveitides / panuveitides, including 174 cases of toxoplasmic retinitis, were evaluated by machine learning. Key criteria for toxoplasmic retinitis included focal or paucifocal necrotizing retinitis and either positive polymerase chain reaction assay for Toxoplasma gondii from an intraocular specimen or the characteristic clinical picture of a round or oval retinitis lesion proximal to a hyperpigmented and/or atrophic chorioretinal scar. Overall accuracy for infectious posterior uveitides / panuveitides was 92.1% in the training set and 93.3% (95% confidence interval 88.2, 96.3) in the validation set. The misclassification rates for toxoplasmic retinitis were 8.2% in the training set and 10% in the validation set.

conclusionsThe criteria for toxoplasmic retinitis had a low misclassification rate and seemed to perform sufficiently well for use in clinical and translational research.

Indexed as

Machine LearningAdultAnimalsAntibodies, ProtozoanAqueous HumorDNA, ProtozoanEye Infections, ParasiticFemaleHumansMaleRetinitisToxoplasmaToxoplasmosis, OcularYoung AdultAntibodies, ProtozoanDNA, Protozoan

Identifiers

PMID33845002
PMCPMC8594742

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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.