Age-Related Topographical Changes in the Normal Human Optic Nerve Head Measured by Scanning Laser Tomography
Bibliographic record
Abstract
PURPOSE: This study was designed to investigate the effects of advanced aging on the optic nerve head (ONH) structure and retinal nerve fiber layer (RNFL) thickness in the eldest segment of our population. METHODS: Twenty-seven healthy elderly subjects between 75 and 88 years of age (average, 80.1 +/- 0.83 years) and 30 healthy younger subjects between 20 and 32 years of age (average, 23.1 +/- 0.50 years) were recruited for a cross-sectional comparison between ONH morphology and RNFL thickness as measured by scanning laser tomography. The ONH disc, cup, and rim areas; cup-to-disc ratio; and the mean thickness of the RNFL were quantified. RESULTS: The cup and disc areas as well as the cup-to-disc area ratio increased with age, whereas the RNFL thickness decreased during the course of normal senescence. CONCLUSIONS: Any diagnoses of ocular pathology in the elderly must differentiate the effects of normal aging on the ONH topography and RNFL thickness. To that effect, the present study provides a clinical profile of ocular structures that extend into the oldest geriatric age group.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".