Association between helicobacter pylori infection and abdominal aortic aneurysm: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Abdominal aortic aneurysm (AAA) poses a significant health risk, particularly in aging populations. This study aims to quantify the association between Helicobacter pylori (H. pylori) infection and AAA development through a systematic review and meta-analysis, emphasizing numerical results for clarity. METHOD: Following PRISMA guidelines, PubMed, SCOPUS, Medline and Embase searches were conducted. Data extraction and quality assessment were performed using standardized tools. Statistical analysis involved calculating a pooled risk ratio (RR) with a 95% confidence interval (CI) to determine the association between H. pylori infection and AAA development. RESULT: Among the 8 selected studies, H. pylori infection exhibited a statistically significant overall RR of 1.54 (95% CI: 1.14-2.08, P = 0.005) for AAA development. Subgroup and sensitivity analyses were conducted to address high heterogeneity, revealing consistent results. The event rate analysis across studies showed an overall rate of 41%, (95% CI: 0.293 to 0.547) with significant variability observed among individual study populations. CONCLUSION: The meta-analysis confirms a significant association between H. pylori infection and AAA development, with an elevated risk ratio of 1.54. These findings underscore the importance of further research to elucidate underlying mechanisms and inform preventive strategies and interventions aimed at mitigating the risk of AAA in individuals with H. pylori infection.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.013 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".