Abstract 12222: The Role of Metformin in Abdominal Aortic Aneurysm: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Introduction: Abdominal aortic aneurysm (AAA) is a cardiovascular disease with very high mortality especially due to its tendency to be asymptomatic. Some reports suggest that patients with diabetes, especially those who take metformin, may be negatively associated with AAA, but the association is still unclear. Hence, we aim to conduct a systematic review with meta-analysis on the role of metformin in reducing AAA diameter progression and AAA-related events. Hypothesis: We hypothesized that metformin reduces the growth of AAA diameter and AAA-related events. Methods: A comprehensive search of relevant articles was systematically performed on PubMed, Science Direct, Cochrane, and Scopus for studies comparing metformin with no metformin treatment on patients with AAA. Two reviewers independently assessed the abstracts and full-text articles. The outcome was aortic enlargement progression and AAA-related events such as AAA rupture and mortality. Biases in selected studies were assessed using Newcastle-Ottawa Scale. Data from eligible studies were pooled for effect estimates. Statistical analysis was performed using Review Manager software. Results: A total of 11 articles comprising 110,727 patients were included in the systematic review. Results showed that metformin was associated with reduction of annual AAA diameter progression (weighted mean difference: -0.84 mm; 95%CI: -1.33 to -0.35; p: 0.0007; I 2 : 85%). Metformin treatment may be associated with a decrease in AAA-related events. Funnel plot analysis showed that there was an indication of publication bias. Conclusions: Our results may suggest a potential role for metformin in limiting AAA growth. Further randomized controlled trials are needed to confirm the results.
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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 | 0.035 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.034 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".