MétaCan
Menu
Back to cohort
Record W4312673191 · doi:10.4103/joco.joco_41_22

Unilateral Acute Central Serous Chorioretinopathy with Inactivated Coronavirus Disease 2019 Vaccination

2022· article· en· W4312673191 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

VenueJournal of Current Ophthalmology · 2022
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineSerous fluidVaccinationCoronavirus disease 2019 (COVID-19)CoronavirusDiseaseVirologyOphthalmologyInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Purpose: To report unilateral acute-onset central serous chorioretinopathy (CSC) following vaccination with inactivated coronavirus disease 2019 (COVID-19) vaccine in a healthy patient. Methods: Case report and review of literature. Results: A 39-year-old male was referred with sudden-onset, painless, unilateral blurred vision in the right eye. His first dose of the Sinopharm vaccine was injected 2 days before. A complete ocular examination revealed central subretinal fluid (SRF) accumulation in favor of CSC in the right eye. Systemic workup disclosed no previous COVID-19 infection or any systemic involvement. After 3 weeks, SRF decreased remarkably without treatment. Conclusions: It is proposed that CSC development can be an ocular adverse effect of COVID-19 vaccination, although it is infrequent. Ophthalmologists should be aware of the possible association between COVID-19 vaccination and ocular adverse effects, but vaccination is the best effectual measure against COVID-19.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.345
Teacher spread0.310 · 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