Extra‐hepatic morbidity and mortality in alcohol‐related liver disease: Systematic review and meta‐analysis
Bibliographic record
Abstract
BACKGROUND: Alcohol use increases the risk of many conditions in addition to liver disease; patients with alcohol-related liver disease (ALD) are therefore at risk from both extra-hepatic and hepatic disease. AIMS: This review synthesises information about non-liver-related mortality in persons with ALD. METHODS: A systematic literature review was performed to identify studies describing non-liver outcomes in ALD. Information about overall non-liver mortality was extracted from included studies and sub-categorised into major causes: cardiovascular disease (CVD), non-liver cancer and infection. Single-proportion meta-analysis was done to calculate incidence rates (events/1000 patient-years) and relative risks (RR) compared with control populations. RESULTS: Thirty-seven studies describing 50 302 individuals with 155 820 patient-years of follow-up were included. Diabetes, CVD and obesity were highly prevalent amongst included patients (5.4%, 10.4% and 20.8% respectively). Outcomes varied across the spectrum of ALD: in alcohol-related fatty liver the rate of non-liver mortality was 43.4/1000 patient-years, whereas in alcoholic hepatitis the rate of non-liver mortality was 22.5/1000 patient-years. The risk of all studied outcomes was higher in ALD compared with control populations: The RR of death from CVD was 2.4 (1.6-3.8), from non-hepatic cancer 2.2 (1.6-2.9) and from infection 8.2 (4.7-14.3). CONCLUSION: Persons with ALD are at high risk of death from non-liver causes such as cardiovascular disease and non-hepatic cancer.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| 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) | 0.001 | 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 teacher head, 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".