Diurnal Variation of Visual Function and the Signs and Symptoms of Dry Eye
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Subjects with dry eye often complain of disturbances in visual function and worsening of symptoms in the evening. To clinically substantiate these reports of diurnal variations, the present study tested subjects with dry eye on a series of visual function and ocular physiology measures. METHODS: Twenty-one subjects with dry eye were enrolled and underwent ophthalmic examinations, including best spectacle-corrected visual acuity, visual function decay as measured by the interblink interval visual acuity decay test without ocular anesthetic, reading rate test, slit-lamp biomicroscopy, and tear film breakup time. Keratitis, conjunctival redness, and corneal sensitivity were also assessed. Examinations occurred once during the morning and for a second time in the evening. Subjects also completed a modified version of the Ocular Surface Disease Index at both study visits. RESULTS: Subjects with dry eye showed impaired visual function in the evening, as compared to that in the morning; they maintained their best spectacle-corrected visual acuity for a shorter time between blinks (P < 0.01) and had longer readings times (P < 0.05) in the evening as compared with that in the morning. These findings were qualified by Ocular Surface Disease Index results showing greater subjective visual impairment in the evening. Subjects also demonstrated a significant increase in keratitis and conjunctival redness from morning to evening testing. Less ocular discomfort was reported in the evening than in the morning; this effect significantly correlated with corneal sensitivity in the evening. CONCLUSIONS: Subjects with dry eye experience significant diurnal variations of visual function and ocular surface physiology. These daily rhythms should be considered when designing clinical trials and when quantifying disease severity.
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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 it