ArticleAmerican journal of ophthalmology2021
Classification Criteria for Tubercular Uveitis.
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 27 papers.
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Who cites it
27 citing papers in PubMed.
- Ocular TB as the only manifestation of TB: diagnostic uncertainty and treatment thresholds.International ophthalmology · 2026Review
- Hydroxychloroquine in the treatment of sarcoidosis-associated uveitis and idiopathic uveitis.Journal of ophthalmic inflammation and infection · 2026Article
- Pathogenesis of tubercular retinal vasculitis: An ongoing quest.Journal of clinical tuberculosis and other mycobacterial diseases · 2026Article
- Are the SUN Criteria Sufficient for Tubercular Uveitis? Findings From a Multinational Registry Study.Investigative ophthalmology & visual science · 2026Observational
- Tubercular Uveitis: Multimodal Imaging, Immunologic Stratification, and a Practical Framework for Diagnosis and Management.Clinical ophthalmology (Auckland, N.Z.) · 2026Review
- Persistent Inflammation After Anti-Tubercular Therapy in Tubercular Serpiginous-Like Choroiditis: A Multivariate and Network-Based Risk Analysis.Translational vision science & technology · 2025Article
- Mycobacterium tuberculosis Infection of Retinal Endothelial Cells Induces Interferon Signaling Activation: Insights Into Tubercular Retinal Vasculitis.Investigative ophthalmology & visual science · 2025Article
- Comparison of uveitis manifestations in patients with active systemic tuberculosis and those with positive interferon-gamma release assay without active disease.Eye (London, England) · 2025Article
- Antigen-specific polyfunctional cytotoxic T cells differentiate intraocular from peripheral blood immune responses in posterior uveitis.Clinical & translational immunology · 2025Article
- Artificial Intelligence-Based Uveitis Diagnosis Through Retinal Vasculature Analysis: A Paradigm Shift in Ocular Tuberculosis.Ophthalmology and therapy · 2025Article
- Exploiting induced pluripotent stem cell-derived retinal pigment epithelium to unravel host-pathogen interaction in ocular tuberculosis: a reverse translationalFrontiers in ophthalmology · 2025Article
- Relapse in ocular tuberculosis: relapse rate, risk factors and clinical management in a non-endemic country.The British journal of ophthalmology · 2024Article
- Ocular tuberculosis with Mycobacterium tuberculosis DNA presence in ocular fluid: will post-COVID era bring a difference?Eye (London, England) · 2024Article
- A serum B-lymphocyte activation signature is a key distinguishing feature of the immune response in sarcoidosis compared to tuberculosis.Communications biology · 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
- Case Report: Ocular Tissue Diagnosis of Previously Undiagnosed, Extensively Drug-Resistant Pulmonary Tuberculosis.The American journal of tropical medicine and hygiene · 2023Article
- The Collaborative Ocular Tuberculosis Study (COTS) calculator-a consensus-based decision tool for initiating antitubercular therapy in ocular tuberculosis.Eye (London, England) · 2023Article
- Antigen-Specific Intraocular Cytokine Responses Distinguish Ocular Tuberculosis From Undifferentiated Uveitis in Tuberculosis-Immunoreactive Patients.American journal of ophthalmology · 2023Article
- Long-term follow-up after treatment of tubercular uveitis: case series and review of the literature.Frontiers in ophthalmology · 2023Article
Corrections and comments
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Funding
Abstract
purposeTo determine classification criteria for tubercular uveitis.
designMachine learning of cases with tubercular uveitis and 14 other uveitides.
methodsCases of noninfectious posterior uveitis or panuveitis, and of infectious posterior uveitis or panuveitis, 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 analyzed by anatomic class, and each class was 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 intermediate uveitides. The resulting criteria were evaluated on the validation sets.
resultsTwo hundred seventy-seven cases of tubercular uveitis were evaluated by machine learning against other uveitides. Key criteria for tubercular uveitis were a compatible uveitic syndrome, including (1) anterior uveitis with iris nodules, (2) serpiginous-like tubercular choroiditis, (3) choroidal nodule (tuberculoma), (4) occlusive retinal vasculitis, and (5) in hosts with evidence of active systemic tuberculosis, multifocal choroiditis; and evidence of tuberculosis, including histologically or microbiologically confirmed infection, positive interferon-γ release assay test, or positive tuberculin skin test. The overall accuracy of the diagnosis of tubercular uveitis vs other uveitides in the validation set was 98.2% (95% confidence interval 96.5, 99.1). The misclassification rates for tubercular uveitis were training set, 3.4%; and validation set, 3.6%.
conclusionsThe criteria for tubercular uveitis had a low misclassification rate and seemed to perform sufficiently well for use in clinical and translational research.
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