Early changes in choroidal thickness and axial length in the use glasses of monofocal lenses and highly aspherical lenslets in children with newly diagnosed myopia
Bibliographic record
Abstract
Current strategies for treating progressive myopia are closely linked to optical methods based on the theory of peripheral defocus. Myopic defocus causes an increase in choroidal thickness (CT) and a decrease in axial length (AL) of the eye. No comparative studies on the effects of spectacle lenses with highly aspherical lenslets (HAL) and monofocal lenses (MFL) on CT and AL in children with newly diagnosed myopia have been conducted. PURPOSE: This study compares changes in CT and AL in children with myopia after one month of continuous wear of newly prescribed glasses with HAL and MFL. MATERIAL AND METHODS: The study included a total of 29 patients (58 eyes) with newly diagnosed mild myopia (mean -1.28±0.64 D) at an average age of 10.41±1.14 years wearing newly prescribed glasses with MFL (group 1) or with HAL (group 2). All patients underwent optical biometry and CT measurement using optical coherence tomography in addition to standard ophthalmological examination methods. RESULTS: <0.05). CONCLUSIONS: The use of optical means of correction leads to changes in biometric parameters of the eye within a month from the start of wearing them. A decrease in CT from baseline was observed with MFL glasses, while an increase was seen with HAL correction, which can be considered a favorable prognostic sign in the control of progressive myopia in children.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".