ArticleAmerican journal of ophthalmology2021
Classification Criteria for Fuchs Uveitis Syndrome.
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 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed.
- Clinical Patterns, Complications, and Long-Term Visual Outcomes of Fuchs' Uveitis Syndrome in Turkish Population: Retrospective Study in a Tertiary Uveitis Referral Center.Turkish journal of ophthalmology · 2026Article
- Visual Blurring Following Posterior Vitreous Detachment in Fuchs Uveitis Syndrome.Journal of ophthalmic & vision research · 2026Article
- Assessing the Combined Diagnostic Value of Serum ACE Levels, Mantoux Test and Lymphopenia in Uveitis Patients from a Tertiary Eye Care Center in Southern India.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Etiologies of intermediate uveitis in a tertiary center: an age-oriented medical assessment?Journal of ophthalmic inflammation and infection · 2025Article
- Identifying prognostic clues in CMV anterior uveitis: The role of corneal endothelitis and seasonal relapse patterns.Northern clinics of Istanbul · 2025Article
- Fuchs' uveitis syndrome: a 20-year experience in 466 patients.Scientific reports · 2024Article
- Simultaneous evaluation of iris area and subfoveal choroidal thickness in Fuchs uveitis syndrome.BMC ophthalmology · 2024Article
- Artificial Intelligence in Uveitis: Innovations in Diagnosis and Therapeutic Strategies.Clinical ophthalmology (Auckland, N.Z.) · 2024Review
- The role of a multicentre data repository in ocular inflammation: The Ocular Autoimmune Systemic Inflammatory Infectious Study (OASIS).Eye (London, England) · 2023Review
- The standardisation of uveitis nomenclature (SUN) project.Clinical & experimental ophthalmology · 2022Review
- Aqueous Humor Analysis in Overlapping Clinical Diagnosis of Cytomegalovirus and Rubella Virus Anterior Uveitis.Medicina (Kaunas, Lithuania) · 2022Article
- Contrast Sensitivity Deficits and Its Structural Correlates in Fuchs Uveitis Syndrome.Frontiers in medicine · 2022Article
- Factors associated with low prevalence of Fuchs' uveitis syndrome in Japan.Frontiers in medicine · 2022Article
- Rubella Virus- and Cytomegalovirus-Associated Anterior Uveitis: Clinical Findings and How They Relate to the Current Fuchs Uveitis Syndrome Classification.Frontiers in ophthalmology · 2022Article
- Editorial: Multimodal imaging in uveitis.Frontiers in medicine · 2022Article
- [Here comes the "SUN" …].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021Article
- Viral anterior uveitis.Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological SocietyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
purposeTo determine classification criteria for Fuchs' uveitis syndrome.
designMachine learning of cases with Fuchs' uveitis syndrome and 8 other anterior uveitides.
methodsCases of anterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on the 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 anterior uveitides. The resulting criteria were evaluated on the validation set.
resultsOne thousand eighty-three cases of anterior uveitides, including 146 cases of Fuchs' uveitis syndrome, were evaluated by machine learning. The overall accuracy for anterior uveitides was 97.5% in the training set and 96.7% in the validation set (95% confidence interval 92.4, 98.6). Key criteria for Fuchs' uveitis syndrome included unilateral anterior uveitis with or without vitritis and either: 1) heterochromia or 2) unilateral diffuse iris atrophy and stellate keratic precipitates. The misclassification rates for Fuchs' uveitis syndrome were 4.7% in the training set and 5.5% in the validation set, respectively.
conclusionsThe criteria for Fuchs' uveitis syndrome had a low misclassification rate and appeared to perform well enough for use in clinical and translational research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.