Vascular Reactivity of Optic Nerve Head and Retinal Blood Vessels in Glaucoma - A Review
Bibliographic record
Abstract
Glaucoma is characterized by loss of retinal nerve fibers, structural changes to the optic nerve, and an associated change in visual function. The major risk factor for glaucoma is an increase in intraocular pressure (IOP). However, it has been demonstrated that a subset of glaucoma patients exhibit optic neuropathy despite a normal range of IOP. It has been proposed that primary open angle glaucoma could be associated with structural abnormalities and/or functional dysregulation of the vasculature supplying the optic nerve and surrounding retinal tissue. Under normal conditions, blood flow is autoregulated, i.e., maintained at a relatively constant level, in the retina and ONH, irrespective of variation in ocular perfusion pressure. A number of factors released by the vascular endothelium, including endothelin-1 and nitric oxide, are suggested to play an important role in the regulation of local perfusion in the retina and ONH. Most work to-date has investigated homeostatic hemodynamic parameters in glaucoma, rather than the measurement of the hemodynamic response to a provocation. Future work should comprehensively assess blood flow in all the ocular vascular beds and blood vessels supplying the eye in response to standardized stimuli in order to better understand the pathophysiology of glaucomatous optic neuropathy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".