ArticleJournal of clinical medicine2021
Development and Validation of a Bayesian Network for Supporting the Etiological Diagnosis of Uveitis.
Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Etiology and Anatomical Location of Uveitis-Prognostic Factors for Disease Course and Laterality.Life (Basel, Switzerland) · 2025Article
- Neural networks for predicting etiological diagnosis of uveitis.Eye (London, England) · 2025Article
- Epidemiology of Uveitis from a Tertiary Referral Hospital in Bulgaria over a 13-Year Period.Diagnostics (Basel, Switzerland) · 2025Article
- Automated early detection of acute retinal necrosis from ultra-widefield color fundus photography using deep learning.Eye and vision (London, England) · 2024Article
- Artificial Intelligence in Uveitis: Innovations in Diagnosis and Therapeutic Strategies.Clinical ophthalmology (Auckland, N.Z.) · 2024Review
- Diagnosis, Classification, and Assessment of the Underlying Etiology of Uveitis by Artificial Intelligence: A Systematic Review.Journal of clinical medicine · 2023Review
- Management of Non-Infectious Uveitis, a Selection of Topical Items Updating.Journal of clinical medicine · 2022Article
- Optimization of anesthetic decision-making in ERAS using Bayesian network.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The etiological diagnosis of uveitis is complex. We aimed to implement and validate a Bayesian belief network algorithm for the differential diagnosis of the most relevant causes of uveitis. The training dataset (
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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.