ReviewTaiwan journal of ophthalmology
Current understanding of ocular fluid analysis in uveitis.
Review in Taiwan journal of ophthalmology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- The protein-protein interaction network analysis in idiopathic posterior uveitis.Indian journal of ophthalmology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Uveitis sometimes causes severe inflammation and significant loss of visual function. However, the cause is unknown in approximately 50% of cases, and the pathogenesis of the disease is also unknown in many cases. Intraocular fluid is rich in biological substances such as DNA/RNA, cytokines, antibodies, proteins, and metabolites and analysis of intraocular fluid is important for identifying biomarkers and understanding the pathogenesis of uveitis. For example, comprehensive polymerase chain reaction test of intraocular fluid has enabled rapid diagnosis of infectious uveitis. In addition, a combination of histopathological examination of intraocular fluid, cytokine measurement, flow cytometry, and genetic assessments has increased the efficiency of diagnosis of intraocular malignant lymphoma. In recent years, omics analysis such as metabolomics, proteomics, and transcriptomics has been actively conducted in the medical field, and there are scattered reports of intraocular fluid analysis in uveitis. Moreover, research and practical application of artificial intelligence (AI) is also progressing rapidly in the medical field. In the field of ophthalmology, many studies introducing AI have been reported, and a small number of machine learning studies using intraocular fluid have also been reported. In this review, we searched PubMed for previous reports on intraocular fluid analysis in uveitis and aim to introduce the analysis of intraocular fluid in uveitis, including the results of our comprehensive genetic analysis of cytomegalovirus in the eye.
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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.