Patterns of ocular toxoplasmosis presenting at a tertiary eye care center in Korean patients
Bibliographic record
Abstract
The objective of this study was to describe demographic and clinical features of ocular toxoplasmosis (OT) in Korean patients compared to those in other countries.This retrospective study comprised 46 patients diagnosed with OT. All participants were recruited at the uveitis clinic in Seoul St. Mary's Hospital.The mean age of patients was 54 years. Of 46 patients, 31 (67.4%) were females. Of all patients, 24 (52.2%) had definite eating history of wild boar meat or deer blood while 5 (10.9%) had history of close contact with cats. The most common forms of OT were vitritis (91.3%) combined with retinochoroiditis (65.2%). Active retinochoroidal lesion was located at the peripheral retina in 18 (39.1%) patients, central retina in 8 (17.4%) patients, and peripapillary retina in 4 (8.7%) patients. Seven (15.2%) cases were clinically diagnosed with typical OT without serologic evidence. Thirty-nine (84.8%) had serum IgG for toxoplasmosis. However, only 8 (17.4%) had serum IgM. In 65.2% of patients, there was no complication after treatment. The most common ocular complication was macular scar (8.7%).The present study provides demographic and clinical characteristics of OT in Korea, a low endemic area of Toxoplasma gondii. Acquired infection is the major cause of OT in Korea. Even though Korea is a low endemic area of Toxoplasma gondii, OT is a preventable and common cause of acquired infectious uveitis.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".