THE ASSOCIATION BETWEEN HEPATIC STEATOSIS AND AGE-RELATED MACULAR DEGENERATION
Bibliographic record
Abstract
PURPOSE: The primary aim of this study is to estimate the association of hepatic steatosis in patients diagnosed with Age-Related Macular Degeneration (AMD). METHODS: Patients with AMD and without secondary causes of chronic liver disease, alongside age- and sex-matched controls were recruited. Hepatic steatosis was determined via ultrasound imaging, and metabolic risk factors were collected using standardized surveys. RESULTS: A total of 98 patients were recruited (49 cases, 49 controls). Hepatic steatosis was observed in 51.0% of the AMD group compared to 30.6% in controls, a statistically significant difference (χ2(1) = 4.224, p = 0.040). In multivariable models, dyslipidemia and diabetes were the strongest predictors, with association of steatosis attenuated but still significant (OR 2.36, 95% CI 1.03-5.40, p = 0.049). CONCLUSION: This study suggests an association between AMD and the prevalence of hepatic steatosis, after controlling for metabolic risk factors.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".