A Study of Blood Spectrum Morphology about Ocular Ischemic Diseases Caused by Internal Carotid Stenosis and The Difference after Carotid Endarterectomy
Bibliographic record
Abstract
Objective:To investigate the varied spectrum of ocular ischemic diseases caused by carotid stenosis,and the difference about ocular vessel blood velocity after CEA.Methods: The patients being treated with carotid endarterectomy(CEA) are defined the rate of internal carotid artery stenosis ≥60% by digital subtraction angiography(DSA) or magnetic resonance angiography(MRA) in neurosurgery surgery and vascular surgery departments of People's Liberation Army General Hospital.20 patients are selected and given eye examination and color doppler flowimaging(CDFI) for measurement of the peak systolic velocity(PSV) about ophthalmic,central retinal arteries.7 patients of 20 selected patients are treated with carotid endarterectomy(CEA).CDFI are done again 7 days after CEA.The results are studied statistically.Results: 74.2% spectrum of ocular artery is different from before.83.9% spectrum of central retinal artery is either.PSV in the ophthalmic,central retinal arteries increased significantly 1 week after CEA(P0.05).Conclusion:Internal carotid artery stenosis can obviously cause ocular varied spectrum.CEA can improve the ipsilateral retrobulbar blood flow.
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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".