Central Retinal Artery Occlusion at a Canadian Academic Center
Bibliographic record
Abstract
BACKGROUND: Central retinal artery occlusion (CRAO) is a retinal stroke with poor visual prognosis and frequent association with life-threatening conditions. Clinical guidelines and treatment options are in evolution, and Canadian data regarding CRAO are limited. METHODS: Patients with CRAO between June 1, 2019, and May 31, 2023, were included. The medical chart was reviewed for demographics, presentation factors, investigations, interventions, secondary prevention referrals and outcomes. RESULTS: Seventy-six patients were included. Median age was 68.1 (61.4-81.8) years, and 60.5% were male. The site of presentation was an emergency department in 61.8%. The median (interquartile range [IQR]) time from vision loss to presentation was 15.0 (3.5-48.0) hours; 28.9% presented within 4.5 hours. The median (IQR) time for ophthalmological consultation was 12.0 (4.6-22.6) hours. No patient was treated with thrombolysis. Referral for neurovascular secondary prevention occurred for 92.1%; however, referral for ocular follow-up was omitted in 21.1%. Among patients with non-arteritic CRAO, 25.7% had symptomatic carotid stenosis, and 10.5% had a cardioembolic source. Giant cell arteritis was diagnosed in 8.1% of patients over age 50. Functional visual recovery occurred for 10.5% of patients. CONCLUSIONS: In this series, patients often presented within hours of CRAO and usually to an emergency department; however, no patient was treated with thrombolysis. As in other centers, delay in ophthalmological consultation and the lack of a defined CRAO treatment pathway are barriers. Patients with CRAO frequently have high-risk underlying pathology and generally do not experience meaningful improvement in vision. There is an unmet need for Canadian guidelines to standardize multidisciplinary care for CRAO.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".