Recurrent and De Novo Toxoplasmosis Retinochoroiditis following Coronavirus Disease 2019 Infection or Vaccination
Bibliographic record
Abstract
This study reports three cases of toxoplasmosis retinochoroiditis following coronavirus disease 2019 (COVID-19) infection or vaccination from the national Canadian COVID-19 Eye Registry between December 2020 and September 2021. A 56-year-old male presented 15 days after a positive COVID-19 test with toxoplasmosis retinochoroiditis. He later relapsed 8 days following a first Pfizer-BioNTech vaccine dose. Two patients presented with toxoplasmosis retinochoroiditis following COVID-19 vaccination: A 58-year-old female presenting 4 days following a first Pfizer-BioNTech vaccine dose with anterior uveitis and a posterior pole lesion discovered 3 months later and a 39-year-old female presenting 17 days after a first Moderna vaccine dose. Resolution was achieved with oral clindamycin, oral trimethoprim/sulfamethoxazole, and topical prednisolone acetate 1%. Patients were offered prophylactic trimethoprim/sulfamethoxazole for subsequent doses without relapse. Following COVID-19 infection or vaccination, patients may be at risk for toxoplasmosis retinochoroiditis. Prophylactic antibiotics for future doses may be offered to patients with known ocular toxoplasmosis to prevent recurrence.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".