Effect of intraocular pressure on optic disc topography, electroretinography, and axonal loss in a chronic pressure-induced rat model of optic nerve damage.
Bibliographic record
Abstract
PURPOSE: To characterize the effect of intraocular pressure (IOP) on optic disc topography, retinal function, and axonal survival in a model of IOP-induced optic nerve damage in rat. METHODS: Hypertonic (1.75 M) saline was injected into an episcleral vein of one eye of 49 Brown Norway rats, with the fellow untreated eye serving as the control. During the 1 to 3 months of follow-up, IOP was measured twice weekly in conscious animals with a handheld tonometer, and changes in disc topography and retinal function were monitored with scanning laser tomography and electroretinography (ERG), respectively. Peak IOP elevation in the experimental eye compared with the fellow control eye (peak deltaIOP), integral of IOP elevation over time (deltaIOP integral), and days of IOP elevation were calculated. Axon counts were obtained from electron micrographs of the sectioned optic nerves. RESULTS: Progressive cupping was found in 9 (56.3%) of 16 eyes with peak deltaIOP of more than 15 mm Hg and in none of 21 eyes with peak deltaIOP less than 15 mm Hg. A strong correlation between deltaIOP integral and progressive cupping was also found, but not with days of IOP elevation. ERG abnormalities (limited to the b-wave) were found in 11 (64.7%) of 17 eyes with peak deltaIOP of more than 15 mm Hg and in 2 (8.7%) of 23 eyes with peak deltaIOP of less than 15 mm Hg. Neither of the other IOP parameters was predictive of ERG damage. The proportion of surviving axons was negatively correlated to both deltaIOP and deltaIOP integral (P <or= 0.001). Progressive cupping was evident only with more than 55% axonal loss. Similarly, ERG results remained mostly within normal limits for low to moderate axonal loss, but were markedly abnormal with more than 70% axonal loss. CONCLUSIONS: Structural and functional changes in this model are best correlated to peak deltaIOP and not to duration of IOP elevation, suggesting the existence of an IOP-related damage threshold.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".