Evaluation of optic nerve head and retinal layers in affected and fellow eyes of pediatric glaucoma
Bibliographic record
Abstract
Pediatric glaucoma is a rare disease that is potentially more severe than adult glaucoma because it is more challenging to diagnose and more difficult to treat. The segmented retinal layer has been shown to have excellent capability in assessing adult glaucoma. However, there is limited information regarding the benefits of spectral domain-optical coherence tomography (SD-OCT) in children. Thus, our study aims to investigate the role of circumpapillary (cp) OCT analysis in examining pediatric glaucoma and characterizing the changes in the fellow eyes of glaucomatous children. SD-OCT was used to investigate the optic nerve head (ONH) and retinal morphology of 18 patients with pediatric glaucoma and 14 matched healthy controls. As predicted, pediatric patients with glaucoma had a wider disk diameter, cup diameter, and cup-to-disk ratio (CDR). Pediatric glaucoma also resulted in a thinner retinal nerve fiber layer (RNFL), ganglion cell layer – inner plexiform layer (GCL-IPL), photoreceptor layer – retinal pigment epithelium (PRL-RPE), and total retinal layer (TRL). Similarly, these observations were found in the fellow eyes of glaucomatous children. Our finding also indicated that cpRNFL, GC-IPL, and PRL-RPE thickness were useful for the early identification of pediatric glaucoma. In conclusion, SD-OCT could be implemented in managing glaucoma in young children. Moreover, retinal layer damage at the corresponding locations of the fellow eye is similarly detected in the glaucomatous eye.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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".