Visual Acuity Changes in Patients With Leber Congenital Amaurosis and Mutations in CEP290
Bibliographic record
Abstract
OBJECTIVE: To evaluate changes in visual acuity (VA) over time in patients with Leber congenital amaurosis (LCA) and mutations in the CEP290 gene. METHODS: Visual acuity was determined at the initial and most recent visits of 43 patients with LCA and CEP290 mutations. The main outcome measures included the best-corrected VA at the initial and most recent visits, as well as the correlation between age and VA. RESULTS: At the initial visit, 14 patients had measurable chart VA in the better-seeing eye, 25 patients had nonmeasurable chart VA, and 4 young patients did not have VA assessed. At the most recent visit, 15 patients had measurable chart VA and 28 had nonmeasurable chart VA. The average interval between the 2 visits was 10.4 years (range, 2-47 years). For patients with measurable chart VA, the median logMAR value at the initial visit (0.75; range, 0.10-2.30) and at the most recent visit (0.70; range, 0.10-2.00) did not differ significantly (P> .05). There was no significant relationship between VA and age. CONCLUSIONS: Patients with LCA and CEP290 mutations had a wide spectrum of VA that was not related to age or length of follow-up. Severe VA loss was observed in most, but not all, patients in the first decade. These data will help clinicians provide counseling on VA changes in patients with CEP290 mutations and could be of value for future treatment trials.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".