Central retina vein occlusion: visual acuity correlate with focal electroretinogram, but not with optical coherence tomography
Bibliographic record
Abstract
Abstract Purpose central retina vein occlusion(CRVO) is a retinal vascular disorder associated with various degrees of retinal ischemia leading to macular oedema and visual acuity loss. The standard method to detect and measure the macular oedema is the Optical Coherence Tomography(OCT). The focal electroretinogram (FERG) is a part of the electroretinography that investigate functionally the macula.The aim of our study was to investigate the relationship between visual acuity, morphologic aspects and functional results in CRVO. Methods we examined 24 eyes affected by CRVO. All the patients had complete survey comprehending ETDRS visual acuity(VA), FERG, OCT. The FERG was performed via ERG dome, using a background light of 300 cd/m2 and a led stimulus alternating at 5,1 hz. The OCT values of macular volume and thickness, the a and b wave values of latency and amplitude were collected and analyzed. The results were matched with 19 eyes not affected of the same sample and with 20 eyes of healthy subjects. Multiple statistical relationship analysis of the r and p were done by mean of Kruskal‐Wallis test. The sensitivity and specificity were analyzed with Roc curve. Results we do not found correlations between VA and OCT macular volume and thickness. A significant correlation with VA was found in a and b FERG amplitudes between the CRVO group, healthy subjects and the healthy eyes of CRVO group and also between the healthy eyes of CRVO and healthy subjects.Significant sensitivity and specificity (72.1 and 80 respectively) were found in Roc curve Conclusion in our study functional alterations of the FERG correlate and probably precede VA loss
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".