Characterising the refractive error in paediatric patients with congenital stationary night blindness: a multicentre study
Bibliographic record
Abstract
Background/Aaims Congenital stationary night blindness (CSNB) is an inherited retinal disease that is often associated with high myopia and can be caused by pathological variants in multiple genes, most commonly CACNA1F , NYX and TRPM1 . High myopia is associated with retinal degeneration and increased risk for retinal detachment. Slowing the progression of myopia in patients with CSNB would likely be beneficial in reducing risk, but before interventions can be considered, it is important to understand the natural history of myopic progression. Methods This multicentre, retrospective study explored CSNB caused by variants in CACNA1F , NYX or TRPM1 in patients who had at least 6 measurements of their spherical equivalent of refraction (SER) before the age of 18. A mixed-effect model was used to predict progression of SER overtime and differences between genotypes were evaluated. Results 78 individuals were included in this study. All genotypes showed a significant myopic predicted SER at birth (−3.076D, −5.511D and −5.386D) for CACNA1F , NYX and TRPM1 respectively. Additionally, significant progression of myopia per year (−0.254D, −0.257D and −0.326D) was observed for all three genotypes CACNA1F , NYX and TRPM1 , respectively. Conclusions Patients with CSNB tend to be myopic from an early age and progress to become more myopic with age. Patients may benefit from long-term myopia slowing treatment in the future and further studies are indicated. Additionally, CSNB should be considered in the differential diagnosis for early-onset myopia.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".