THE ASSOCIATION BETWEEN ATRIAL FIBRILLATION AND CENTRAL RETINAL ARTERY OCCLUSION: A META-ANALYSIS AND SYSTEMATIC REVIEW
Bibliographic record
Abstract
Introduction Central retinal artery occlusion (CRAO) is a condition where the central retinal artery is blocked. Atrial Fibrillation (AF) is commonly associated with retinal embolism that originates anywhere between the heart and the ophthalmic artery. This study aims to explore the incidence of AF in CRAO. Methods A systematic search was performed in three databases: Pubmed, EBSCO host, and Proquest. Newcastle-Ottawa Scale was used to assess the risk of bias in the study included. Results Our systematic review comprises six studies, 4 studies included CRAO patients as the study population and AF as the endpoint, and the other 2 studies with CRAO as the endpoint. Meta-analysis of the first group resulted in a significantly favorable AF incident after CRAO with an odds ratio (OR) of 1.46 (95% CI 1.17-1.81, p=0.0007). The second metaanalysis supports CRAO with an OR of 4.86 (95% CI 2.30-10.28, p<0.0001). Discussion Our study indicates that AF is a significant risk factor for CRAO. Extended cardiac monitoring may play a crucial diagnostic role in CRAO patients, and longer-term monitoring (23 years) may be a reasonable option as part of the diagnostic workup. Short-term monitoring alone may fail to detect a significant proportion of patients with underlying AF. Conclusions It is crucial to identify AF in preventing ocular infarction. This study revealed that AF was identified as a risk factor in patients with CRAO and vice versa.
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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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.024 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".