Novel Insights Into Gyrate Atrophy of the Choroid and Retina (<scp>GACR</scp>): A Cohort Study
Bibliographic record
Abstract
Gyrate atrophy of the choroid and retina (GACR, OMIM #258870) is a rare inherited metabolic disorder characterized by progressive chorioretinal degeneration and hyperornithinemia. Current therapeutic modalities potentially slow disease progression but are not successful in preventing blindness. To allow for trial development, increased knowledge of the clinical phenotype and current therapeutic outcomes is required. In this study, we analyzed 27 patients with GACR. The median age at inclusion was 24 years (range 8-58), with a median age at diagnosis of 14 years (range 0-42). Symptoms began at a mean age of 9 years (range 0-21). Mixed-models analysis showed a significant association between dietary natural protein intake and plasma ornithine levels. Ornithine increased significantly with age, independent of dietary natural protein intake. We found no statistically significant association between ornithine levels and best-corrected visual acuity over time. Patients who started a natural protein-restricted diet below 10 years of age had better VF outcomes compared to patients that started at a later age. MR spectroscopy was used to asses cerebral creatine deficiency, which was present in 15/20 patients, of whom 10 were supplemented with creatine at the time. Finally, using the Michigan Retinal Degeneration Questionnaire, we provided a first insight into the vision-related disability reported by patients with GACR and showed that higher foveal sensitivity was associated with less perceived disability. To conclude, this study provides insights into the phenotype, genotype, biochemistry, and treatment effects of GACR, which can be used for care pathways and clinical trial design.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".