Semaglutide and Risk of Non-arteritic Anterior Ischemic Optic Neuropathy: Systematic Review and Meta-analysis
Bibliographic record
Abstract
Study designs to be included Cohort studies.Eligibility criteria For studies with overlapping populations from the same data source, only the one with the longer inclusion period is retained.When studies included multiple drug comparisons, we will extract only the results related to sodiumglucose cotransporter 2 (SGLT2) inhibitors, as these comparisons typically involve more homogeneous populations. Information sources Pubmed and Embase. Main outcome(s) NAION, as reported by hazard ratio between semaglutide and comparator group. Quality assessment / Risk of bias analysisThe risk of bias in cohort studies will be assessed using the Newcastle Ottawa Scales. Strategy of data synthesisMantel-Haenszel Hazard Ratio (MH-HR) for time-to-event variables will be calculated and displayed as forest plots, using random-effect models. Subgroup analysis T 2 D a n d o b e s i t y o r overweight. Sensitivity analysis None.Country(ies) involved Taiwan.
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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 | 0.015 | 0.039 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.026 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".