Association between risk of ischemic stroke and liver enzymes levels: a systematic review and meta-analysis
Bibliographic record
Abstract
Ischemic stroke is a major public health concern, contributing significantly to global morbidity and mortality. Recent studies have suggested that alterations in liver enzymes may be linked to the risk of developing a stroke. However, the relationship between liver enzymes and ischemic stroke remains unclear. To examine the potential role of liver enzymes as biomarkers for ischemic stroke. We systematically searched four databases for articles investigating the association between liver enzymes and ischemic stroke up to March 20th, 2024. Newcastle Ottawa Scale judged the quality of included studies. Risk ratio (RR), hazard ratio (HR), or odds ratio (OR) were extracted and statistically analyzed by RevMan and R software. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) assessed the certainty of evidence. Increased levels of gamma-glutamyl transferase (GGT) and alkaline phosphatase (ALP) have shown statistically significant association with increased ischemic stroke risk (RR: 1.43, 95% CI: [1.30 to 1.57], P > 0.00001) and (RR: 1.60, 95% CI: [1.22 to 2.10], P = 0.0006), respectively. Conversely, increased levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) showed no significant association with ischemic stroke risk (RR: 0.92, 95% CI: [0.68 to 1.24], P = 0.58) and (RR: 1.43, 95% CI: [0.83 to 2.49], P = 0.20), respectively. The evidence for all outcomes had a low or very low level of certainty. GGT and ALP could be potential biomarkers for increased ischemic stroke risk, which necessitates careful follow-up. However, AST and ALT did not show such association. The relationship between liver enzymes and ischemic stroke risk is still unclear. We systematically reviewed and analyzed previously published cohort and case control studies. A significant positive association was found between levels of GGT and ALP enzymes with ischemic stroke risk. No significant association was found between ALT and AST enzymes levels with ischemic stroke risk. Further studies are still needed to investigate the causal relationship between different levels of liver enzymes and the risk of ischemic stroke.
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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 | 0.010 | 0.022 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.033 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".