Bilateral Panuveitis with Occlusive Vasculitis following Coronavirus Disease 2019 Vaccination
Bibliographic record
Abstract
PURPOSE: To report a case of bilateral panuveitis and occlusive vasculitis following COVID-19 vaccination. STUDY DESIGN: Case report. RESULTS: A 41-year-old otherwise healthy male presented with progressive vision loss and floaters starting 48 hours after a first dose of COVID-19 vaccine. Examination initially showed bilateral anterior uveitis, but this evolved into bilateral panuveitis with occlusive vasculitis despite topical corticosteroids over two weeks. The patient underwent extensive testing for other etiologies which were excluded. He was successfully treated with a gradual taper of topical and systemic corticosteroids leading to improvement of signs and symptoms. Follow-up is maintained for observation of avascular zones with possible neovascularization which could require laser as needed. CONCLUSIONS: The temporal association between vaccine and presentation makes this a plausible etiology. This remains a rare adverse event, but clinicians should be aware of this possibility to include it in their differential diagnosis when confronted with idiosyncratic ocular presentations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".