Neuro-ophthalmic Manifestations of Giant Cell Arteritis: A Review
Bibliographic record
Abstract
Giant cell arteritis (GCA) is the most common vasculitis of large and medium vessels affecting adults over the age of 50. Due to its acute ischemic damage through a systemic inflammatory process, GCA is a medical emergency with the risk of permanent vision loss. Therefore, early intervention is critical. Patients often present with well-documented systemic manifestations such as jaw claudication, headache, scalp tenderness, and fatigue. These patients are usually subject to blood tests for inflammatory markers and temporal artery biopsy. However, clinical manifestations vary considerably and may masquerade as neuro-ophthalmic manifestations that are not pathognomonic of GCA. We conducted a review to discuss documented neuroophthalmic manifestations and provide insight into the rare presentations to help avoid pitfalls in its diagnosis. Findings from the included articles were sorted into afferent and efferent neuroophthalmic manifestations. According to our literature review, the main afferent manifestations documented are ischemic optic neuropathy, retinal artery occlusion, choroidal infarction, ocular ischemic syndrome, orbital inflammatory syndrome, and strokes causing visual field loss. The efferent manifestations include cranial neuropathy (3rd, 4th, and 6th), extraocular muscle ischemia, and internuclear ophthalmoplegia. Other rare causes are tonic pupil from ciliary ganglion involvement, uveitis, and encephalopathy. If GCA is suspected, in addition to inquiring about systemic symptoms and doing a complete neuro-ophthalmic exam, these patients should be sent for inflammatory serological markers, as well as temporal artery biopsy (TAB). If clinical suspicion remains high, high-dose steroids should be started immediately.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".