Branch retinal vein occlusion in a healthy young man following mRNA COVID-19 vaccination
Bibliographic record
Abstract
PURPOSE: To report a case of a branch retinal vein occlusion (BRVO) following mRNA COVID-19 vaccination. OBSERVATIONS: A 34-year-old healthy male presented with blurriness in the inferior visual field, intermittent photopsia, multiple retinal hemorrhages, dilated and tortuous retinal vessels, and cotton wools spots in the right eye. The clinical examination and ancillary tests confirmed the diagnosis of a right eye BRVO. The visual symptoms started 2 days following first dose COVID-19 vaccination with the BNT162b2 (Pfizer-BioNTech) mRNA vaccine. CONCLUSIONS AND IMPORTANCE: This is a rare case of BRVO in an otherwise healthy young man, presenting after vaccination for COVID-19 in the absence of other coagulable risk factors. As the literature on venous thrombosis after COVID-19 vaccinations remains sparse, it is critical to raise awareness that BRVO could be a vaccine-related thrombotic adverse event. We highlight that as more of the population is vaccinated, an increased incidence of BRVO may confirm the link to COVID-19 vaccination.
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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".