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Record W4213052368 · doi:10.1016/j.ajoc.2022.101445

Branch retinal vein occlusion in a healthy young man following mRNA COVID-19 vaccination

2022· article· en· W4213052368 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Journal of Ophthalmology Case Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineCoronavirus disease 2019 (COVID-19)Vaccination2019-20 coronavirus outbreakRetinalSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Retinal VeinOcclusionOphthalmologyVirologyCardiologyInternal medicineOutbreak

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.347
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it