Vision Loss From Giant Cell Arteritis in Patients With Other Ocular Diagnoses
Bibliographic record
Abstract
ABSTRACT: Vision problems from giant cell arteritis (GCA) can be difficult to diagnose as patients may present with vision loss in the absence of systemic symptoms, have other comorbidities that affect inflammatory blood markers, or have other ocular diagnoses. We present 3 cases illustrating this point including a patient with advanced glaucoma with worsening vision from posterior ischemic optic neuropathy from GCA, a patient with arteritic anterior ischemic optic neuropathy (AAION) erroneously diagnosed as optic neuritis without elevated inflammatory blood markers due to corticosteroid use, and a patient with AAION and a history of nonarteritic anterior ischemic optic neuropathy in her fellow eye and untreated obstructive sleep apnea. GCA should be kept in the differential diagnosis for patients over 50 years of age even if they carry other ocular diagnoses. Temporal artery biopsy remains the gold standard for GCA diagnosis and is often required in equivocal cases.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".