Eye disease knowledge and awareness among Iranian population: The Gilan Eye Study
Why this work is in the frame
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Bibliographic record
Abstract
The purpose of this study was to investigate the public knowledge regarding cataract, glaucoma, refractive error, and diabetic retinopathy among Iranian population living in Gilan province. This population-based cross-sectional study was conducted on 2588 individuals aged over 50, living in both urban and rural districts of Gilan. All participants were interviewed to determine their knowledge regarding the mentioned eye diseases. Their source of knowledge was determined whether health care professionals, family or relatives, social media, or publications. Socioeconomic status (SES) of participants was calculated based on the principal component analysis. The presenting visual acuity of all study participants was assessed by a trained optometrist. In this study, total knowledge of cataract, glaucoma, refractive errors and diabetic retinopathy was 52.1%, 2.5%, 15.1%, and 29.7%, respectively. A lower cataract knowledge was found in participants with low (odds ratio [OR] = 0.44; p = .02) and moderate SES (OR = 0.56, p = .02). We also lower knowledge of glaucoma among low (OR = 0.33; p < .001) and moderate SES group (OR = 0.48, p = .002). A higher level of knowledge about refractive error was observed in participants with normal vision (OR = 4.89; p = .011) and mild/moderate visual impairment (OR = 3.69; p = .046). Participants without a history of diabetes mellitus had less knowledge about diabetic retinopathy (DR) (OR = 0.56; p < .001), while those with more than 12 years of education had higher knowledge about DR. In conclusion, lower level of the knowledge was identified among individuals with lower levels of SES and education, while participants with better vision could be benefit from the high levels of knowledge.
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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 | 0.002 | 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 | 0.001 |
| 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