STATIN USE AND THE INCIDENCE OF AGE-RELATED MACULAR DEGENERATION
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: Age-related macular degeneration (AMD) shares many of the same risk factors with atherosclerosis. There is a postulated role of lipid-lowering agents in preventing AMD. This meta-analysis investigates the possible role of statins in the prevention of AMD onset and progression. METHODS: MEDLINE, EMBASE, Cochrane CENTRAL, and the reference lists of included studies were systematically searched from inception to September 2020. Studies were included if they measured the risk of AMD development or progression with statin use. The primary outcomes assessed were AMD incidence and progression. Secondary outcomes were the incidence of early AMD, late AMD, choroidal neovascularization, and geographic atrophy. RESULTS: Twenty-one articles (1 randomized control trial and 20 observational studies) collectively reporting on 1,460,989 participants were included. The pooled risk ratios (95% confidence interval) for statin use on any, early, and late AMD incidence were 1.05 (0.85-1.29) (P = 0.44), 0.99 (0.88-1.11) (P = 0.86), and 1.15 (0.90-1.47) (P = 0.27), respectively. In patients with existing AMD, the respective risk ratios for statin use on incidence of AMD progression, choroidal neovascularization, and geographic atrophy were 1.04 (0.70-1.53) (P = 0.85), 0.99 (0.66-1.48) (P = 0.95), and 0.84 (0.58-1.22) (P = 0.36). CONCLUSION: This meta-analysis found that there was no significant difference in the incidence or progression of AMD based on statin use.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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