Assessment of retinal blood oxygen saturation in patients with primary open angle glaucoma
Bibliographic record
Abstract
Abstract Purpose: To investigate retinal SO2 in POAG using a retinal hyperspectral camera (HRC). Method: 9 controls and 15 POAG patients were imaged using a prototype HRC, at wavelengths between 500‐610nm. POAG was classified as mild (mean deviation [MD]<‐6) or moderate to severe (MD≥‐6). Arteriolar, venular and arterio‐venous (AV) SO2 difference values were compared between the groups and the correlation with MD was assessed. Result: Mean SO2 values were 93±1.55 and 55.37±2.57 for arterioles and venules respectively in controls and 94.74±2.75 and 58.10±8.85 in the POAG group. No significant differences were found between the two groups (p=0.13 arterioles, p=0.42 venules). AV difference was also not significantly different (p=0.78). In patients with MD≥‐6, significantly higher venular SO2 (p=0.005) and significantly lower AV differences (p=0.01) were found compared to MD<‐6 and controls. No differences were found for arteriolar SO2 (p=0.31). Significant correlations were found between venular SO2 and AV differences with MD (p=0.02 and p=0.03). Conclusion: Patients with moderate to severe POAG have higher venular SO2 and lower AV differences indicating a potential association with decreased oxygen extraction from the retinal capillaries.
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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 | 0.001 |
| 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 | 0.000 |
| 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 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".