Scleritis and Development of Immune-Mediated Disease: A Retrospective Chart Review
Bibliographic record
Abstract
Objective Scleritis may be idiopathic or caused by trauma, infections, or an immune-mediated disease (IMD). Our study aimed to understand the relationship between scleritis and IMD, including presenting characteristics, serologies, and treatment course. Understanding these associations may allow clinicians to risk-stratify patients and predict their clinical and treatment course. Methods We conducted a retrospective chart review of 341 patients with scleritis seen at a tertiary care center between January 1, 2005, and December 31, 2020. Demographics, scleritis characteristics, treatment response, recurrence, and serologic data were compared among patients with idiopathic and IMD-associated scleritis. Results Among patients with scleritis seen, 145 patients (43%) had an associated IMD, most commonly rheumatoid arthritis (RA; 39%), vasculitis (21%), or inflammatory bowel disease (14%). In most cases, the IMD diagnosis predated the scleritis presentation (63%), though vasculitis cases were more likely to develop during or after scleritis episodes. There were no significant differences in demographics or treatment failures among patients with scleritis with and without associated IMDs. Patients with IMDs were more likely to have a recurrence of scleritis (62% vs 49%,P= 0.02). Conclusion At our ophthalmology center, 43% of patients with scleritis had an associated IMD, and most patients with an IMD were symptomatic from this disease prior to scleritis presentation. RA was the most commonly associated condition and typically predated the scleritis, whereas vasculitis was more likely diagnosed during or after the scleritis episode. Scleritis among patients with IMD is more likely to recur compared to scleritis that is idiopathic.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".