Uveitis as a Predictor for Myocardial Infarction in Patients with Behçet's Disease, Multi Centric Cohort Study from Aseer Region, Saudi Arabia
Bibliographic record
Abstract
Introduction: Behçet's disease (BD) is a chronic, multisystem inflammatory disorder characterized by a diverse array of clinical manifestations, including recurrent oral and genital ulcers, ocular inflammation, skin lesions, and joint problems. Its presentation varies, requiring tailored diagnosis and management. Methods: Retrospective cohort study, though review of medical charts and data for patients who meet the diagnostic criteria for BD actively receiving care in rheumatology clinics. The primary objective was to investigate the correlation between uveitis and Myocardial infarction in this population. Results: This study included a total of 111 patients. Approximately 33% of the patients exhibited positive CRP levels. Approximately 10% (11 patients) of the subjects were diagnosed with uveitis. Notably, the majority of individuals with uveitis were males. Three patients with uveitis had arthritis, none of whom presented with gastrointestinal tract (GIT) Complaints. Remarkably, none of the patients diagnosed with uveitis had a documented history of myocardial infarction (MI). Conclusion: In our cohort, those with a history of MI did not have a documented history of uveitis. Larger, prospective studies are needed to evaluate the associations between MI and uveitis in a BD population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".